Name: Machine Learning Course Using Python
Price: 25 GBP
Availability: InStock

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			<h2>Learning Outcomes
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										<span>Learn what Python programming is and its basic data types</span>
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										<span>Know the fundamentals of Python operators</span>
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										<span>Deepen your understanding of control flow part - 1 and control flow part - 2</span>
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										<span>Enhance your idea of user input and error handling</span>
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										<span>Get acquainted with Python scripting and libraries</span>
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										<span>Get an introduction to OPP and learn the advanced OPP</span>
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			<h2>Description </h2>		</div>
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				<p><span>According to a statistic, Python is one of the most demanding jobs in the UK, which offers a salary of almost </span><span>£60,000 to programmers who are skilled in Pythons. This demand opens up many opportunities for freshers and experts in various IT fields. So, if you are from a programming background or wish to start your career in the relevant field, gain adequate skills in Python and shine in your future career with the help of the Python Programming: Beginner to Experts course.</span></p><p><span>Our immersive Python Programming: Beginner to Experts course will help you gain a thorough understanding of what Python is all about and in which sectors it's mostly used. Moreover, this course will provide you with knowledge of basic data types. In addition, you will learn about Python operators, user input and error handling and many more. While progressing through your study, you can also get to learn about Python scripting and libraries. It will also introduce you to the primary and advanced levels of OPP.</span></p><p><span>However, after completing this comprehensive course, you will immediately receive a CPD- Certificate of achievement, which will not only help you boost your confidence but also put some weight on your resume. So, enrol and begin your journey now!</span></p>					</div>
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			<h2>Certificate of Achievement </h2>		</div>
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				<p><span>After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. </span></p>					</div>
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			<h2>Method of Assessment 
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				<p><span>After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly.</span></p>					</div>
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			<h2>Career path</h2>		</div>
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				<p><span>We designed this course with the aim of increasing your expertise in Python so that you can pursue your career in the relevant field. Such as - </span></p>					</div>
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										<span>Web Developer</span>
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										<span>Software Engineer</span>
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										<span>Data Scientist</span>
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										<span>Machine Learning Engineer</span>
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										<span>Data Analyst</span>
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Janets

Python Programming: Beginner To Expert

General Admission

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				<p><span>Register on the Python Data Science today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p><p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p><p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion.</span></p><p><span>The Python Data Science is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p><p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p><h5><b>What You Get With The Python Data Science</b></h5><ul><li><span>Receive a e-certificate upon successful completion of the course</span></li><li><span>Get taught by experienced, professional instructors</span></li><li><span>Study at a time and pace that suits your learning style</span></li><li><span>Get instant feedback on assessments </span></li><li><span>24/7 help and advice via email or live chat</span></li><li><span>Get full tutor support on weekdays (Monday to Friday)</span></li></ul>					</div>
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			<h2>Course Design</h2>		</div>
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				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
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			<h2>Certification</h2>		</div>
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				<p><span>After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.</span></p>					</div>
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			<h2>Who Is This Course For:</h2>		</div>
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				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
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			<h2>Requirements:</h2>		</div>
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				<p><span>The online training is open to all students and has no formal entry requirements. To study the Python Data Science, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
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				<h3>Course Content</h3>

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					<td colspan="4">Unit 01: Introduction to Python Data Science</td>
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					<td>Module 01: Introduction to Python Data Science</td>
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					<td>Module 02: Environment Setup</td>
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					<td colspan="4">Unit 02: Data Cleaning Packages</td>
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					<td>Module 01: Numpy package for calculations</td>
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					<td><span><i></i> 00:16:00</span></td>
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					<td>Module 02: Panda package for Data cleaning</td>
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					<td><span><i></i> 00:19:00</span></td>
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					<td colspan="4">Unit 03: Data Visualization packages</td>
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					<td>Module 01: Matplotlib Data Visualization Part 1</td>
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					<td>Module 02: Matplotlib Data Visualization Part 2</td>
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					<td><span><i></i> 00:11:00</span></td>
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			<h2>Frequently Asked Questions</h2>
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                                    Are there any prerequisites for taking the course?
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                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
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                                    Can I access the course at any time, or is there a set
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                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
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                                    How long will I have access to the course?
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                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
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                                    Is there a certificate of completion provided after
                                    completing the course?
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                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
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                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
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                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
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                                    How do I track my progress in the course?
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                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
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                                    What if I have technical issues or difficulties with the
                                    course?
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                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
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Data Science

Professional Skills Course (PSC)

Python Data Science

NextGen Learning

Diploma in Python Programming Course

<p>Give a compliment to your career and take it to the next level. This<strong> Data Science </strong>will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Data Sciencebundle will help you stay ahead of the pack.</p><p>Throughout the Data Scienceprogramme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector.</p><p>Along with this Data Science course, you will get <strong>10 premium courses, an original</strong><strong>Hardcopy</strong>, <strong>11 PDF Certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p><p><strong>This Data Science Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> Course 01: </strong>Data Science with Python</li><li><strong> Course 02: </strong>Data Science &amp; Machine Learning with Python</li><li><strong> Course 03: </strong>R Programming for Data Science</li><li><strong> Course 04: </strong>Python for Data Analysis</li><li><strong> Course 05: </strong>Machine Learning for Predictive Maps in Python and Leaflet</li><li><strong> Course 06: </strong>Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong> Course 07: </strong>Python Programming for Everybody</li><li><strong> Course 08: </strong>Encryption</li><li><strong> Course 09: </strong>GDPR Data Protection Level 5</li><li><strong> Course</strong> 10: Decision Making and Critical Thinking</li><li><strong> Course 11: </strong>Time Management</li></ul><p>Enrol now in Data Science to advance your career, and use the premium study materials from Apex Learning.<br /><strong>Certificate:</strong></p><ul><li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Scienceexpertise and essential knowledge, which will assist you in reaching your goal.</p><p><strong>Curriculum:</strong></p><p><strong> Course 01: R Programming for Data Science</strong></p><ul><li>Unit 01: Data Science Overview</li><li>Unit 02: R and RStudio</li><li>Unit 03: Introduction to Basics</li><li>Unit 04: Vectors</li><li>Unit 05: Matrices</li><li>Unit 06: Factors</li><li>Unit 07: Data Frames</li><li>Unit 08: Lists</li><li>Unit 09: Relational Operators</li><li>Unit 10: Logical Operators</li><li>Unit 11: Conditional Statements</li><li>Unit 12: Loops</li><li>Unit 13: Functions</li><li>Unit 14: R Packages</li><li>Unit 15: The Apply Family - lapply</li><li>Unit 16: The apply Family - sapply &amp; vapply</li><li>Unit 17: Useful Functions</li><li>Unit 18: Regular Expressions</li><li>Unit 19: Dates and Times</li><li>Unit 20: Getting and Cleaning Data</li><li>Unit 21: Plotting Data in R</li><li>Unit 22: Data Manipulation with dplyr</li></ul><p>And much more...</p><h2>
        
        <div>CPD</div>
    </h2>

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                                        120 CPD hours / points
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                                            Accredited by CPD Quality Standards
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                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

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                            <p>Anyone from any background can enrol in this Data Science bundle.</p>
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        <div>Requirements</div>
    </h2>

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                            <p>This Data Science course has been designed to be fully compatible with tablets and smartphones.</p>
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        <div>Career path</div>
    </h2>

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                            <p>Having this expertise will increase the value of your CV and open you up to multiple job sectors.</p>
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        <div>Certificates</div>
    </h2>

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                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>R Programming for Data Science</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Apex Learning

Data Science with Python Course

<p>Get ready for an exceptional online learning experience with the <strong>Python, Data Science, Machine Learning, SQL, Cloud computing &amp; Cyber Security </strong>bundle! This carefully curated collection of<strong> 20 premium courses</strong> is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations.</p><p>The Python &amp; Data Science package is dynamic, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Python, Data Science, Machine Learning, SQL, Cloud computing &amp; Cyber Securitypackage has something for everyone.</p><p>As part of the Python &amp; Data Science package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Python &amp; Data Science bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth!</p><p><strong>This Bundle Comprises the Following </strong><strong>Python, Data Science, Machine Learning, SQL, Cloud computing &amp; Cyber Security  </strong><strong>CPD-accredited courses:</strong></p><ul><li><strong>Course 01: </strong>Python Programming: Beginner To Expert</li><li><strong>Course 02:</strong> Data Science &amp; Machine Learning with Python</li><li><strong>Course 03: </strong>Coding with Python 3</li><li><strong>Course 04: </strong>Introduction to Coding With HTML, CSS, &amp; Javascript</li><li><strong>Course 05: </strong>Python for Spatial Analysis in ArcGIS</li><li><strong>Course 06: </strong>Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li><strong>Course 07: </strong>Business Intelligence and Data Mining</li><li><strong>Course 08: </strong>SQL for Data Science, Data Analytics and Data Visualization</li><li><strong>Course 09: </strong>Python Data Science with Numpy, Pandas and Matplotlib</li><li><strong>Course 10: </strong>Cloud Computing / CompTIA Cloud+ (CV0-002)</li><li><strong>Course 11: </strong>Cyber Security Awareness Training</li><li><strong>Course 12:</strong> Learn Ethical Hacking From A-Z: Beginner To Expert</li><li><strong>Course 13: </strong>Easy to Advanced Data Structures</li><li><strong>Course 14: </strong>R Programming for Data Science</li><li><strong>Course 15: </strong>GDPR UK Training</li><li><strong>Course 16: </strong>Career Development Plan Fundamentals</li><li><strong>Course 17: </strong>CV Writing and Job Searching</li><li><strong>Course 18: </strong>Learn to Level Up Your Leadership</li><li><strong>Course 19: </strong>Networking Skills for Personal Success</li><li><strong>Course 20: </strong>Ace Your Presentations: Public Speaking Masterclass</li></ul><p><strong>What will make you stand out?</strong></p><p>Upon completion of this online Python, Data Science, Machine Learning, SQL, Cloud computing &amp; Cyber Security bundle, you will gain the following:</p><ul><li>CPD QS Accredited Proficiency with this Python &amp; Data Science bundle</li><li>After successfully completing the Python &amp; Data Science bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities.</li><li>Lifetime access to the whole collection of learning materials of this Python &amp; Data Science bundle</li><li>The online test with immediate results</li><li>You can study and complete the Python &amp; Data Science bundle at your own pace.</li><li>Study for the Python &amp; Data Science bundle using any internet-connected device, such as a computer, tablet, or mobile device.</li></ul><p>Each course in this Python, Data Science, Machine Learning, SQL, Cloud computing &amp; Cyber Security bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Python &amp; Data Science bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p>Embrace the future of learning with the Python, Data Science, Machine Learning, SQL, Cloud computing &amp; Cyber Security , a rich anthology of 30 diverse courses. Our experts handpick each course in the Python &amp; Data Science bundle to ensure a wide spectrum of learning opportunities. This Python &amp; Data Science bundle will take you on a unique and enriching educational journey.</p><p>The Python &amp; Data Science bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Python &amp; Data Science bundle offers you the flexibility and convenience to learn at your own pace. Make the Python &amp; Data Science package your trusted companion in your lifelong learning journey.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        200 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>The <strong>Python, Data Science, Machine Learning, SQL, Cloud computing &amp; Cyber Security  </strong>bundle is perfect for:</p><ul><li><strong>Beginners interested in technology: </strong>Individuals with little to no background in tech who are looking to start their careers in various IT domains.</li><li><strong>Aspiring Data Scientists and Analysts:</strong> Those aiming to build foundational and advanced skills in data science and machine learning.</li><li><strong>Future Software Developers: </strong>Individuals interested in learning Python and SQL for software development or database management.</li><li><strong>IT Security Enthusiasts: </strong>People who are keen on entering the field of cyber security and want to understand how to protect data in a digital environment.</li><li><strong>Cloud Computing Aspirants:</strong> Those looking to gain skills in cloud technologies and understand how to manage and deploy applications on the cloud.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You are warmly invited to register for this Python, Data Science, Machine Learning, SQL, Cloud computing &amp; Cyber Security bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon <strong>Python, Data Science, Machine Learning, SQL, Cloud computing &amp; Cyber Security  </strong>course completion, you can expect to:</p><ul><li>Python Developer</li><li>Data Analyst</li><li>Machine Learning Engineer</li><li>Database Administrator</li><li>Cloud Solutions Architect</li><li>Cyber Security Specialist</li><li>Data Science Consultant</li><li>Systems Analyst</li><li>Network Security Engineer</li><li>Research Scientist (AI/ML)</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>20 CPD Quality Standard Pdf Certificates</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Compliance Central

Python, Data Science, Machine Learning, SQL, Cloud computing & Cyber Security

<strong>This course will teach you how to work with object recognition using a predefined dataset and how to create a custom dataset. The course will also teach you to train the You Only Look Once (YOLO) model to build a coronavirus detection model.</strong>
        <p>Object detection is the most commonly used application of computer vision, which also helps the computer recognize and classify objects inside an image. This video course will help you learn Python-based object recognition methods and develop custom object detection models.

The course begins with an introduction to the You Only Look Once (YOLO) object detection system, Python programming, and Convolutional Neural Networks (CNNs). You will learn object detection by installing Anaconda on your computer and the OpenCV library in Python. Next, you will learn to perform object detection and recognition on a single object in an image and on a real-time webcam video using YOLO pre-trained model and Common Objects in Context (COCO) dataset.

Moving ahead, you will learn the pros and cons of using a pre-trained dataset model and a custom dataset trained model. In addition, you will get an overview of the free GPU offered by Google Colab. Toward the end, you will learn to create a custom dataset and train a darknet YOLO model to detect coronavirus from an electron microscope image or video output.

By the end of this video course, you will develop the skills required to build object recognition models using predefined and custom datasets.</p>
        <h2>What You Will Learn</h2><p>Become familiar with Python and OpenCV libraries<br>Perform object recognition using a predefined dataset<br>Create a custom dataset and train the You Only Look Once (YOLO) model<br>Use the YOLO model on a single image for object detection<br>Try the YOLO model for object detection from a real-time webcam video<br>Create a full-fledged flawless coronavirus detection model</p>
        <h2>Audience</h2><p>If you are a beginner, a developer, or a computer vision enthusiast who wants to develop models for object recognition using Python, then this course is for you. A basic understanding of Python and object recognition is recommended, but not mandatory, to quickly understand the concepts explained.</p>
        <h2>Approach</h2><p>This video course will help you get started with the object recognition techniques using engaging activities and exercises. You will also learn how to use the You Only Look Once (YOLO) model with Python to detect objects in images and videos.</p>
        <h2>Key Features</h2><p>Get started with the You Only Look Once (YOLO) object detection method * Build models to recognize objects in images and real-time webcam videos * Learn how to prepare custom datasets to build your own coronavirus detection model</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Computer-Vision-YOLO-Custom-Object-Detection-with-Colab-GPU</p>
        <h2>About the Author</h2><h3>Abhilash Nelson </h3><p>Abhilash Nelson is a pioneering, talented, and security-oriented Android/iOS mobile and PHP/Python web application developer with more than eight years of IT experience involving designing, implementing, integrating, testing, and supporting impactful web and mobile applications. He has a master's degree in computer science and engineering and has PHP/Python programming experience, which is an added advantage for server-based Android and iOS client applications. Abhilash is currently a senior solution architect managing projects from start to finish to ensure high quality and innovative and functional design.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction and Table of Contents</h4><p>This section provides a brief overview of the course and discusses the learning objectives.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction and Table of Contents</p><p style='margin: 0'>This video gives you an idea of the course and explains the concepts you are going to learn in this section.</p></td></tr></tbody></table><br><h4>2. Introduction to You Only Look Once (YOLO) Object Detection</h4><p>This section introduces the concept of YOLO object detection in computer vision.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to You Only Look Once (YOLO) Object Detection</p><p style='margin: 0'>This video introduces you to the concept and scope of YOLO object detection.</p></td></tr></tbody></table><br><h4>3. Environment Setup - Installing Anaconda</h4><p>This section explains how to install Anaconda and set up the environment required to run YOLO.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Environment Setup - Installing Anaconda</p><p style='margin: 0'>This video demonstrates how to set up the environment by installing Anaconda.</p></td></tr></tbody></table><br><h4>4. Python Basics</h4><p>This section provides a recap on the basic concepts of Python before getting into the details of the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Assignment</p><p style='margin: 0'>This video illustrates an assignment on Python.</p></td></tr><tr><td style='padding: 15px;'><p>2. Flow Control</p><p style='margin: 0'>This video discusses flow control in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Structures</p><p style='margin: 0'>This video discusses the data structures in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Functions</p><p style='margin: 0'>This video discusses the various functions in Python.</p></td></tr></tbody></table><br><h4>5. Installing OpenCV Library</h4><p>This section explains how to install the OpenCV library.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Installing OpenCV Library</p><p style='margin: 0'>This video demonstrates how to install the OpenCV library.</p></td></tr></tbody></table><br><h4>6. Introduction to Convolutional Neural Networks (CNNs)</h4><p>This section introduces you to CNNs.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Convolutional Neural Networks (CNNs)</p><p style='margin: 0'>This video introduces you to CNN, its working, and the different steps involved.</p></td></tr></tbody></table><br><h4>7. You Only Look Once (YOLO) Pre-Trained Object Detection from Image</h4><p>This section explains how to detect objects from images using pre-trained datasets.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Part 1</p><p style='margin: 0'>This video is the first part of the four-part video that explains how to detect an object from an image using a pre-trained YOLO dataset.</p></td></tr><tr><td style='padding: 15px;'><p>2. You Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Part 2</p><p style='margin: 0'>This video is the second part of the four-part video that explains how to detect an object from an image using a pre-trained YOLO dataset.</p></td></tr><tr><td style='padding: 15px;'><p>3. You Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Part 3</p><p style='margin: 0'>This video is the third part of the four-part video that explains how to detect an object from an image using a pre-trained YOLO dataset.</p></td></tr><tr><td style='padding: 15px;'><p>4. You Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Part 4</p><p style='margin: 0'>This video is the fourth part of the four-part video that explains how to detect an object from an image using a pre-trained YOLO dataset.</p></td></tr></tbody></table><br><h4>8. You Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Non-Maximum Suppression (NMS)</h4><p>This section explains how to detect objects from images using a pre-trained YOLO dataset.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Non-Maximum Suppression (NMS) - Part 1</p><p style='margin: 0'>This video is the first part of the two-part video that explains the technique of NMS used to prevent instances where YOLO returns more than one successful detection for a single object in an image.</p></td></tr><tr><td style='padding: 15px;'><p>2. You Only Look Once (YOLO) Pre-Trained Object Detection from an Image - Non-Maximum Suppression (NMS) - Part 2</p><p style='margin: 0'>This video is the second part of the two-part video that explains how you can use NMS to prevent instances where YOLO returns more than one successful detection for a single object in an image.</p></td></tr></tbody></table><br><h4>9. You Only Look Once (YOLO) Pre-Trained Object Detection from a Real-Time Webcam Video</h4><p>This section explains how to detect an object from a real-time webcam video using a pre-trained YOLO dataset.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once (YOLO) Pre-Trained Object Detection from a Real-Time Webcam Video</p><p style='margin: 0'>This video explains how to detect objects from a real-time webcam video in YOLO using a pre-trained dataset.</p></td></tr></tbody></table><br><h4>10. You Only Look Once (YOLO) Pre-Trained Object Detection from a Pre-Saved Video</h4><p>This section explains how to detect an object from a pre-saved video using a pre-trained YOLO dataset.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once (YOLO) Pre-Trained Object Detection from a Pre-Saved Video</p><p style='margin: 0'>This video explains how to detect an object from a pre-saved video using a pre-trained YOLO dataset.</p></td></tr></tbody></table><br><h4>11. Introduction to the Custom-Trained You Only Look Once (YOLO) Model</h4><p>This section introduces you to the custom-trained YOLO model.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Custom-Trained You Only Look Once (YOLO) Model</p><p style='margin: 0'>This video provides a brief introduction on creating and implementing a custom-trained YOLO model.</p></td></tr></tbody></table><br><h4>12. YOLOv4 Custom Training Phase 1 - Preparing Darknet</h4><p>This section introduces the concept of weights in YOLO and also explains how to use Darknet.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once v4 (YOLOv4) Introduction and Downloading Weights</p><p style='margin: 0'>This video introduces you to YOLOv4 and explains how to download the weights of YOLOv4.</p></td></tr><tr><td style='padding: 15px;'><p>2. You Only Look Once v4 (YOLOv4) Preparing Darknet</p><p style='margin: 0'>This video demonstrates how to prepare a Darknet to train a YOLO model.</p></td></tr></tbody></table><br><h4>13. You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Collection</h4><p>This section discusses the data collection process required to use YOLO.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Collection - Part 1</p><p style='margin: 0'>This video is the first part of the two-part video that explains how to collect the required data to train the YOLO model.</p></td></tr><tr><td style='padding: 15px;'><p>2. Data Collection - Part 2</p><p style='margin: 0'>This video is the second part of the two-part video that explains how to collect the required data to train the YOLO model.</p></td></tr></tbody></table><br><h4>14. You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Image Labelling</h4><p>This section explains how images are labeled in YOLOv4.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Image Labelling - Part 1</p><p style='margin: 0'>This video is the first part of the two-part video that explains how to label images to train a customized YOLO model.</p></td></tr><tr><td style='padding: 15px;'><p>2. Image Labelling - Part 2</p><p style='margin: 0'>This video is the second part of the two-part video that explains how to label images to train a customized YOLO model.</p></td></tr></tbody></table><br><h4>15. You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Train Test Split</h4><p>This section discusses the concept of train test split in YOLO.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Train Test Split</p><p style='margin: 0'>This video explains the concept of train test split while training a custom YOLO model.</p></td></tr></tbody></table><br><h4>16. You Only Look Once v4 (YOLOv4) Custom Training Phase 2 - Data Preparation</h4><p>This section explains how to prepare the data required to train the YOLO model.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Preparation - Part 1</p><p style='margin: 0'>This video explains the process of data preparation.</p></td></tr><tr><td style='padding: 15px;'><p>2. Data Preparation - Part 2</p><p style='margin: 0'>This video further explains the process of data preparation.</p></td></tr></tbody></table><br><h4>17. You Only Look Once v4 (YOLOv4) Custom Training Phase 3 - Data Sync</h4><p>This section explains how to sync the data required to train the YOLO model.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Preparing Files Sync to Drive</p><p style='margin: 0'>This video demonstrates how to prepare files to sync with Google Drive.</p></td></tr><tr><td style='padding: 15px;'><p>2. Connecting Colab and Drive</p><p style='margin: 0'>This video demonstrates how to back up folders in Google Drive to run in Colab.</p></td></tr></tbody></table><br><h4>18. You Only Look Once v4 (YOLOv4) Custom Training Phase 4 - Compile and Test Darknet</h4><p>This section explains how to compile the data required to train the YOLO model and test Darknet.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Compile and Test Darknet - Part 1</p><p style='margin: 0'>This video is the first part that explains how to compile data and test Darknet.</p></td></tr><tr><td style='padding: 15px;'><p>2. Compile and Test Darknet - Part 2</p><p style='margin: 0'>This video is the second part that explains how to compile data and test Darknet.</p></td></tr><tr><td style='padding: 15px;'><p>3. Compile and Test Darknet - Part 3</p><p style='margin: 0'>This video is the third part that explains how to compile data and test Darknet.</p></td></tr></tbody></table><br><h4>19. You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Chart and Training Progress Analysis</h4><p>This section discusses how to chart and analyze the progress of dataset training.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Chart and Training Progress Analysis</p><p style='margin: 0'>This video explains how to chart the progress analysis while training a YOLO dataset.</p></td></tr></tbody></table><br><h4>20. You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Finalizing Training Download Weights</h4><p>This section explains how to finalize the YOLOv4 dataset and download the weights.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once v4 (YOLOv4) Custom Training Phase 5 - Finalizing Training Download Weights</p><p style='margin: 0'>This video explains how to finalize the training weights for a YOLO model.</p></td></tr></tbody></table><br><h4>21. Colab GPU Usage Limit Issue</h4><p>This section discusses the issue posed by the usage limit of Colab GPU.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Colab GPU Usage Limit Issue</p><p style='margin: 0'>This video explains the Colab GPU usage limit issue faced while working with the Google GPU service.</p></td></tr></tbody></table><br><h4>22. OpenCV Upgrade for You Only Look Once v4 (YOLOv4)</h4><p>This section explains how to upgrade OpenCV so that it can be used with YOLOv4.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. OpenCV Upgrade for You Only Look Once v4 (YOLOv4)</p><p style='margin: 0'>This video explains how to upgrade OpenCV to match the version of YOLOv4.</p></td></tr></tbody></table><br><h4>23. You Only Look Once v4 (YOLOv4) Pre-Trained Object Recognition from an Image and a Video</h4><p>This section explains how objects are recognized from images and videos using a pre-trained YOLOv4 dataset.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once v4 (YOLOv4) Pre-Trained Object Recognition from an Image and a Video</p><p style='margin: 0'>This video explains how to detect coronavirus from an image and a video using a pre-trained YOLOv4 dataset.</p></td></tr></tbody></table><br><h4>24. You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from an Image</h4><p>This section explains how to detect an image of coronavirus in YOLO.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from an Image</p><p style='margin: 0'>This video explains how to detect coronavirus from an image using a custom trained YOLOv4 dataset.</p></td></tr></tbody></table><br><h4>25. You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from a Video</h4><p>This section demonstrates how to detect coronavirus from a video.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. You Only Look Once v4 (YOLOv4) Custom Coronavirus Detection from a Video</p><p style='margin: 0'>This video explains how to detect coronavirus from a video using a custom-trained YOLOv4 dataset.</p></td></tr></tbody></table><br><h4>26. Other Sample Real-World Case Studies</h4><p>This section focuses on other real-world case studies using YOLO for better comprehension of the concept.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Other Sample Real-World Case Studies</p><p style='margin: 0'>This video illustrates examples of real-world case studies for object detection.</p></td></tr></tbody></table>

Packt

Computer Vision

Python

This course will teach you how to work with object recognition using a predefined dataset and how to create a custom dataset. The course will also teach you to train the You Only Look Once (YOLO) model to build a coronavirus detection model.

Computer Vision: YOLO Custom Object Detection with Colab GPU

<strong>Learn Flask, the simple yet powerful Python web framework. This course is a ridiculously simple way to learn Flask in less than a weekend.</strong>
        <p>This course will teach you how to build Flask apps using only Flask and two essential extensions. You don't have to worry about managing multiple extensions on your machine or about incompatible database systems. By learning without using extra extensions other than Flask-SQLAlchemy and Flask-Login, you'll have a better understanding of how things work; thus, when you actually use extensions, you'll get much more out of them. 
Why Flask? Even though Flask is simple, you can create any web app you can imagine using it. Flask is not only easy to learn, it's also virtually guaranteed to work on your machine. If you've ever tried installing a large library only to find it doesn't work on your computer, you'll be delighted to find that Flask, with its few dependencies and small footprint, will work on your computer.  
You'll start by learning the basics of Flask. You'll learn enough to understand the fundamentals of Flask, how to use templates, and how to connect and use an SQLite database with Flask-SQLAlchemy. Once you decide to change databases, you'll simply update the configuration because you used Flask-SQLAlchemy. And, since the best way to learn is by example, we'll build two demo applications that use only what you learned in the preceding sections. This course covers using Flask 1.0 along with Flask-SQLAlchemy 2.3 and Flask-Login 0.4. Python 3.6+ is required, but no advanced features are used so you may be able to use an older version of Python.</p>
        <h2>What You Will Learn</h2><p>Explore the advanced networking concepts, build WANs, and work with IPV6<br>Learn EIGRP troubleshooting, GNS3 labs, and simulations<br>Practice DCE DTE physical router demos<br>NAT configuration and testing, IPV6<br>Discover OSPF anConfigure VPN and Dynamic Multipoint VPN (DMVPN)<br>Master GRE tunnel configuration and the WAN technologyd BGP</p>
        <h2>Audience</h2><p>This course is for anyone who has mastered the Python fundamentals and is keen to learn how to build web frameworks in Flask. Since Flask is a microframework, beginners can easily learn and use the framework. All you need to know before starting the course is the Python basics. If you're already comfortable working with features such as loops and dicts in Python, you are ready for this course.   </p>
        <h2>Approach</h2><p>The course starts by covering the basics of the Flask framework. You will learn basic request and response handling in Flask, and then how to create templates in Flask using the Jinja library. Finally, you will learn how to interact with a SQL database using Flask-SQLAlchemy. Once all the basics have been covered, we walk you through creating three app examples that use the basics of Flask and more.</p>
        <h2>Key Features</h2><p>These videos last hours and explain all the fundamentals of the Flask web framework. They cover both how to use Flask and examples of apps built with Flask. * Explanations targeted at beginners. We don't assume you know anything about Flask, so we explain all the code you write. We don't just show you how we also explain why.</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/flask-for-beginners</p>
        <h2>About the Author</h2><h3>Anthony Herbert</h3><p>Anthony Herbert is the founder of Pretty Printed. He has been programming since 2004, but a number of those years were spent with a lack of understanding of concepts. To help others avoid the issues he had while learning to program, he created Pretty Printed so that programmers of all skill levels can understand programming concepts easier and faster.</p>
        <h2>Course Outline</h2><h4>1. Course Intro</h4><p>Here, we begin with course introduction.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartIntro</p><p style='margin: 0'>Course Intro: StartIntro</p></td></tr><tr><td style='padding: 15px;'><p>2. StartWhich Version of Python</p><p style='margin: 0'>Course Intro: StartWhich Version of Python</p></td></tr><tr><td style='padding: 15px;'><p>3. StartNote About Pipenv</p><p style='margin: 0'>Course Intro: StartNote About Pipenv</p></td></tr><tr><td style='padding: 15px;'><p>4. StartDownload the Source Code</p><p style='margin: 0'>Course Intro: StartDownload the Source Code</p></td></tr></tbody></table><br><h4>2. Flask Basics</h4><p>In this section, we begin with Flask basics with installation and configuration.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartInstall Flask</p><p style='margin: 0'>Flask Basics: StartInstall Flask</p></td></tr><tr><td style='padding: 15px;'><p>2. StartRouting</p><p style='margin: 0'>Flask Basics: StartRouting</p></td></tr><tr><td style='padding: 15px;'><p>3. StartRequest Methods</p><p style='margin: 0'>Flask Basics: StartRequest Methods</p></td></tr><tr><td style='padding: 15px;'><p>4. StartRoute Variables</p><p style='margin: 0'>Flask Basics: StartRoute Variables</p></td></tr><tr><td style='padding: 15px;'><p>5. StartQuery String Arguments</p><p style='margin: 0'>Flask Basics: StartQuery String Arguments</p></td></tr><tr><td style='padding: 15px;'><p>6. StartForm Data</p><p style='margin: 0'>Flask Basics: StartForm Data</p></td></tr><tr><td style='padding: 15px;'><p>7. PreviewJSON Data</p><p style='margin: 0'>Flask Basics: PreviewJSON Data</p></td></tr><tr><td style='padding: 15px;'><p>8. StartRedirect and url_for</p><p style='margin: 0'>Flask Basics: StartRedirect and url_for</p></td></tr><tr><td style='padding: 15px;'><p>9. StartDebug</p><p style='margin: 0'>Flask Basics: StartDebug</p></td></tr></tbody></table><br><h4>3. Templates</h4><p>Here, we look into templates and various conditionals.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Startintro to Templates</p><p style='margin: 0'>Templates: Startintro to Templates</p></td></tr><tr><td style='padding: 15px;'><p>2. StartTemplate Variables</p><p style='margin: 0'>Templates: StartTemplate Variables</p></td></tr><tr><td style='padding: 15px;'><p>3. StartConditionals</p><p style='margin: 0'>Templates: StartConditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. StartLoops</p><p style='margin: 0'>Templates: StartLoops</p></td></tr><tr><td style='padding: 15px;'><p>5. PreviewInclude</p><p style='margin: 0'>Templates: PreviewInclude</p></td></tr><tr><td style='padding: 15px;'><p>6. StartInheritance</p><p style='margin: 0'>Templates: StartInheritance</p></td></tr><tr><td style='padding: 15px;'><p>7. StartComments</p><p style='margin: 0'>Templates: StartComments</p></td></tr><tr><td style='padding: 15px;'><p>8. StartStatic Files</p><p style='margin: 0'>Templates: StartStatic Files</p></td></tr></tbody></table><br><h4>4. Flask-SQLAlchemy</h4><p>In this section, we start by discovering SQLAlchemy.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartIntro and Install</p><p style='margin: 0'>Flask-SQLAlchemy: StartIntro and Install</p></td></tr><tr><td style='padding: 15px;'><p>2. StartDetermine the URI</p><p style='margin: 0'>Flask-SQLAlchemy: StartDetermine the URI</p></td></tr><tr><td style='padding: 15px;'><p>3. StartConfigure and Create the Database</p><p style='margin: 0'>Flask-SQLAlchemy: StartConfigure and Create the Database</p></td></tr><tr><td style='padding: 15px;'><p>4. StartCreate Table</p><p style='margin: 0'>Flask-SQLAlchemy: StartCreate Table</p></td></tr><tr><td style='padding: 15px;'><p>5. StartInsert Data</p><p style='margin: 0'>Flask-SQLAlchemy: StartInsert Data</p></td></tr><tr><td style='padding: 15px;'><p>6. PreviewUpdate Data</p><p style='margin: 0'>Flask-SQLAlchemy: PreviewUpdate Data</p></td></tr><tr><td style='padding: 15px;'><p>7. StartDelete Data</p><p style='margin: 0'>Flask-SQLAlchemy: StartDelete Data</p></td></tr><tr><td style='padding: 15px;'><p>8. StartCreate One to Many Relationships</p><p style='margin: 0'>Flask-SQLAlchemy: StartCreate One to Many Relationships</p></td></tr><tr><td style='padding: 15px;'><p>9. StartAdd Data to One to Many Relationships</p><p style='margin: 0'>Flask-SQLAlchemy: StartAdd Data to One to Many Relationships</p></td></tr><tr><td style='padding: 15px;'><p>10. StartQuery One to Many Relationships</p><p style='margin: 0'>Flask-SQLAlchemy: StartQuery One to Many Relationships</p></td></tr><tr><td style='padding: 15px;'><p>11. StartCreate Many to Many</p><p style='margin: 0'>Flask-SQLAlchemy: StartCreate Many to Many</p></td></tr><tr><td style='padding: 15px;'><p>12. StartAdd Data to Many to Many</p><p style='margin: 0'>Flask-SQLAlchemy: StartAdd Data to Many to Many</p></td></tr><tr><td style='padding: 15px;'><p>13. StartQuery Many to Many</p><p style='margin: 0'>Flask-SQLAlchemy: StartQuery Many to Many</p></td></tr><tr><td style='padding: 15px;'><p>14. StartGet All Data</p><p style='margin: 0'>Flask-SQLAlchemy: StartGet All Data</p></td></tr></tbody></table><br><h4>5. Structuring Flask Apps</h4><p>Here, we structure Flask Apps.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. PreviewApp Factories</p><p style='margin: 0'>Structuring Flask Apps: PreviewApp Factories</p></td></tr><tr><td style='padding: 15px;'><p>2. StartBlueprints</p><p style='margin: 0'>Structuring Flask Apps: StartBlueprints</p></td></tr><tr><td style='padding: 15px;'><p>3. StartOrganizing Projects Beyond a Single File</p><p style='margin: 0'>Structuring Flask Apps: StartOrganizing Projects Beyond a Single File</p></td></tr></tbody></table><br><h4>6. Registration App</h4><p>In this section, we create registration app.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartApp Overview</p><p style='margin: 0'>Registration App: StartApp Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. StartSetup Project and Display Template</p><p style='margin: 0'>Registration App: StartSetup Project and Display Template</p></td></tr><tr><td style='padding: 15px;'><p>3. StartSetting Up the Models</p><p style='margin: 0'>Registration App: StartSetting Up the Models</p></td></tr><tr><td style='padding: 15px;'><p>4. StartSetup Database</p><p style='margin: 0'>Registration App: StartSetup Database</p></td></tr><tr><td style='padding: 15px;'><p>5. StartSeed Topic and Language Data</p><p style='margin: 0'>Registration App: StartSeed Topic and Language Data</p></td></tr><tr><td style='padding: 15px;'><p>6. StartSetup Password Hash</p><p style='margin: 0'>Registration App: StartSetup Password Hash</p></td></tr><tr><td style='padding: 15px;'><p>7. StartVerify Form Data is Being Submitted</p><p style='margin: 0'>Registration App: StartVerify Form Data is Being Submitted</p></td></tr><tr><td style='padding: 15px;'><p>8. StartLoad Languages and Topics</p><p style='margin: 0'>Registration App: StartLoad Languages and Topics</p></td></tr><tr><td style='padding: 15px;'><p>9. StartSave Data from Form</p><p style='margin: 0'>Registration App: StartSave Data from Form</p></td></tr><tr><td style='padding: 15px;'><p>10. StartLoad Existing Data</p><p style='margin: 0'>Registration App: StartLoad Existing Data</p></td></tr><tr><td style='padding: 15px;'><p>11. StartUpdate Database with New Data</p><p style='margin: 0'>Registration App: StartUpdate Database with New Data</p></td></tr><tr><td style='padding: 15px;'><p>12. StartError Handling</p><p style='margin: 0'>Registration App: StartError Handling</p></td></tr></tbody></table><br><h4>7. Registration API</h4><p>In this section, we work with registration API.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartPOSTMan</p><p style='margin: 0'>Registration API: StartPOSTMan</p></td></tr><tr><td style='padding: 15px;'><p>2. StartOrganize Files</p><p style='margin: 0'>Registration API: StartOrganize Files</p></td></tr><tr><td style='padding: 15px;'><p>3. StartAdd JSON to Method</p><p style='margin: 0'>Registration API: StartAdd JSON to Method</p></td></tr><tr><td style='padding: 15px;'><p>4. StartGet Members Route</p><p style='margin: 0'>Registration API: StartGet Members Route</p></td></tr><tr><td style='padding: 15px;'><p>5. StartGet One Member</p><p style='margin: 0'>Registration API: StartGet One Member</p></td></tr><tr><td style='padding: 15px;'><p>6. StartCreate Member</p><p style='margin: 0'>Registration API: StartCreate Member</p></td></tr><tr><td style='padding: 15px;'><p>7. StartEdit Member</p><p style='margin: 0'>Registration API: StartEdit Member</p></td></tr></tbody></table><br><h4>8. Dashboard App</h4><p>In this section, we create the DashBoard app.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. StartApp Overview</p><p style='margin: 0'>Dashboard App: StartApp Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. StartOverview of Templates</p><p style='margin: 0'>Dashboard App: StartOverview of Templates</p></td></tr><tr><td style='padding: 15px;'><p>3. StartSetup Flask App and Template</p><p style='margin: 0'>Dashboard App: StartSetup Flask App and Template</p></td></tr><tr><td style='padding: 15px;'><p>4. StartCreate Models for Dashboard</p><p style='margin: 0'>Dashboard App: StartCreate Models for Dashboard</p></td></tr><tr><td style='padding: 15px;'><p>5. StartCommand to Create Tables</p><p style='margin: 0'>Dashboard App: StartCommand to Create Tables</p></td></tr><tr><td style='padding: 15px;'><p>6. StartAdd Data into Database</p><p style='margin: 0'>Dashboard App: StartAdd Data into Database</p></td></tr><tr><td style='padding: 15px;'><p>7. StartOverview of Queries We Need</p><p style='margin: 0'>Dashboard App: StartOverview of Queries We Need</p></td></tr><tr><td style='padding: 15px;'><p>8. StartWriting the Queries</p><p style='margin: 0'>Dashboard App: StartWriting the Queries</p></td></tr><tr><td style='padding: 15px;'><p>9. StartWriting the Queries</p><p style='margin: 0'>Dashboard App: StartWriting the Queries</p></td></tr><tr><td style='padding: 15px;'><p>10. StartWriting the Queries</p><p style='margin: 0'>Dashboard App: StartWriting the Queries</p></td></tr><tr><td style='padding: 15px;'><p>11. StartWriting the Queries</p><p style='margin: 0'>Dashboard App: StartWriting the Queries</p></td></tr><tr><td style='padding: 15px;'><p>12. StartAdd the Card Values</p><p style='margin: 0'>Dashboard App: StartAdd the Card Values</p></td></tr><tr><td style='padding: 15px;'><p>13. StartAdd the Revenue Goals</p><p style='margin: 0'>Dashboard App: StartAdd the Revenue Goals</p></td></tr><tr><td style='padding: 15px;'><p>14. StartWork with the Area Chart</p><p style='margin: 0'>Dashboard App: StartWork with the Area Chart</p></td></tr><tr><td style='padding: 15px;'><p>15. StartWork with the Pie Chart</p><p style='margin: 0'>Dashboard App: StartWork with the Pie Chart</p></td></tr><tr><td style='padding: 15px;'><p>16. StartWork with Bar Chart</p><p style='margin: 0'>Dashboard App: StartWork with Bar Chart</p></td></tr><tr><td style='padding: 15px;'><p>17. StartFill in Order Table</p><p style='margin: 0'>Dashboard App: StartFill in Order Table</p></td></tr><tr><td style='padding: 15px;'><p>18. StartSetup Flask Login</p><p style='margin: 0'>Dashboard App: StartSetup Flask Login</p></td></tr><tr><td style='padding: 15px;'><p>19. StartProtecting the Routes</p><p style='margin: 0'>Dashboard App: StartProtecting the Routes</p></td></tr><tr><td style='padding: 15px;'><p>20. StartRegister a User</p><p style='margin: 0'>Dashboard App: StartRegister a User</p></td></tr><tr><td style='padding: 15px;'><p>21. StartLog In User</p><p style='margin: 0'>Dashboard App: StartLog In User</p></td></tr><tr><td style='padding: 15px;'><p>22. StartAdd Password Hashing</p><p style='margin: 0'>Dashboard App: StartAdd Password Hashing</p></td></tr><tr><td style='padding: 15px;'><p>23. StartLogout User</p><p style='margin: 0'>Dashboard App: StartLogout User</p></td></tr><tr><td style='padding: 15px;'><p>24. StartUpdate Links</p><p style='margin: 0'>Dashboard App: StartUpdate Links</p></td></tr><tr><td style='padding: 15px;'><p>25. StartAdd Current User Name</p><p style='margin: 0'>Dashboard App: StartAdd Current User Name</p></td></tr><tr><td style='padding: 15px;'><p>26. StartAdd Remember Me</p><p style='margin: 0'>Dashboard App: StartAdd Remember Me</p></td></tr><tr><td style='padding: 15px;'><p>27. StartFormat Numbers and Dates</p><p style='margin: 0'>Dashboard App: StartFormat Numbers and Dates</p></td></tr><tr><td style='padding: 15px;'><p>28. StartFix Pie Chart Colors</p><p style='margin: 0'>Dashboard App: StartFix Pie Chart Colors</p></td></tr><tr><td style='padding: 15px;'><p>29. StartForm Validation</p><p style='margin: 0'>Dashboard App: StartForm Validation</p></td></tr></tbody></table><br><h4>9. Course Outro</h4><p>Here, we summarize the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Outro</p><p style='margin: 0'>Course Outro: Outro</p></td></tr></tbody></table>

Programming

Learn Flask, the simple yet powerful Python web framework. This course is a ridiculously simple way to learn Flask in less than a weekend.

Flask for Beginners

<p><strong>Python Programming: Beginner To Expert</strong></p><p>Turn your skills into a competitive advantage that is recognised globally and endorsed for quality by QLS, the UK's most reputable high-quality course auditor.</p><p>This premium QLS endorsed Python Programming: Beginner To Expert course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunity and a globally recognised certification all-together. Thus, successful completion of our Python Programming: Beginner To Expert course will give you limitless opportunities anywhere and everywhere, since the value of QLS endorsed courses are quite high, to say the least!!</p><p>What's more, the quality of our first-class course is uncompromising for both you and us. You will be taught the richest of materials from this exquisite Python Programming: Beginner To Expert course, enabling you to open up a vast world of opportunities for you to grasp and gain success from. For the price point, this course is actually an absolute steal! It's an investment you absolutely do not want to miss out on!</p><p>So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as, unquestionably, the most skilled one in your workplace!</p><p><strong>Learning Outcomes of Python Programming: Beginner To Expert course:</strong></p><ul><li>Gain a comprehensive understanding of Python programming concepts and principles.</li><li>Familiarise yourself with the basics of Python, including its syntax and structure.</li><li>Develop proficiency in working with various data types in Python.</li><li>Acquire knowledge of Python operators and their usage in manipulating data.</li><li>Explore advanced data types in Python and learn how to leverage them effectively.</li><li>Master control flow concepts and learn how to create efficient and structured programs.</li><li>Gain proficiency in defining and utilising functions in Python.</li></ul><p><strong>Why Learn with us: </strong></p><p>We, as one of the leading e-learning service providers across the globe, strive to provide all our learners with the best e-learning experience possible that can make a real difference in their career progression.</p><p><strong>Our Service for the </strong><strong>Python Programming: Beginner To Expert</strong><strong> Includes:</strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>Course Curriculum </strong></p><ul><li><strong>Module 01:</strong> Introduction to Python Programming from A-Z</li><li><strong>Module 02:</strong> Getting Familiar with Python</li><li><strong>Module 03:</strong> Basic Data Types</li><li><strong>Module 04:</strong> Python Operators</li><li><strong>Module 05:</strong> Advanced Data Types</li><li><strong>Module 06</strong>: Control Flow Part 1</li><li><strong>Module 07:</strong> Control Flow Part 2</li><li><strong>Module 08:</strong> Python Functions</li><li><strong>Module 09:</strong> User Input and Error Handling</li><li><strong>Module 10:</strong> Python Advanced Functions</li><li><strong>Module 11:</strong> Python Scripting and Libraries</li><li><strong>Module 12:</strong> NumPy</li><li><strong>Module 13:</strong> Pandas</li><li><strong>Module 14:</strong> Introduction to OOP</li><li><strong>Module 15</strong>: Advanced OOP</li><li><strong>Module 16:</strong> Starting a Career in Python</li></ul><p><strong>Assessment &amp; Certification</strong></p><p>Learners must submit a comprehensive summarised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, the learner will be provided with the Python Programming: Beginner To Expert certificate.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme.</strong></p><p>An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.</p><p><strong>Endorsement:</strong></p><p>QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions, including your progression routes into further higher education.</p><h2>
        
        <div>CPD</div>
    </h2>

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                                        15 CPD hours / points
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                                            Accredited by CPD Quality Standards
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                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Our course is open for everyone. This Python Programming: Beginner To Expert is ideal for those who aspire to gain in-depth knowledge &amp; efficient skill to embark into the relevant sector as a promising potential.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal requirements needed for this Python Programming: Beginner To Expert course. So learners do not require any prior qualifications to enrol in this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Python Developer: £110,000 - £130,000 per year</li><li>Data Engineer (Python): £45,000 - £75,000 per year</li><li>Python Data Scientist: £50,000 - £80,000 per year</li><li>Full Stack Python Developer: £40,000 - £70,000 per year</li><li>Python Backend Developer: £45,000 - £75,000 per year</li></ul>
                        </div>

Kingston Open College

Managed Learning Programme (MLP)

Trainers Course

Diploma in Professional Studies (DPS)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

Level 7 Diploma in Python Programming: Beginner To Expert - QLS Endorsed

<strong>Code a real app from scratch!</strong>
        <p>Coding for Beginners is the most beginner-friendly eLearning course for anyone looking to start coding! It doesn't matter if you've never even seen a line of computer code before - if you're interested or just wondering if you can learn to code, this is the course for you!
This coding guide is designed as a generic, foundation-level course to help you grasp the common coding concepts that you'll apply in any programming language you choose to learn. You'll get a real head start before you advance to mastering a dedicated language and its syntax.

All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Coding-for-Beginners-You-can-learn-to-code-</p>
        <h2>What You Will Learn</h2><p>Understand that if you can read and write, you can code<br>Grasp the basics of computer programming and how code works<br>Study the foundation-level concepts that are common to most programming languages before you go on to learn a specific syntax<br>Get ready to learn any programming language, such as Scratch, Python, JavaScript, Ruby, C#, or Go<br>Open up a whole new world of digital creativity</p>
        <h2>Audience</h2><p>This is course is for complete beginners. You don't need any knowledge of coding or computer programming to get started with this course.</p>
        <h2>Approach</h2><p>With over 30 lectures and more than 7 hours of video, this comprehensive course will teach you the very basics of computer coding, also called programming, from the ground up.<br>Starting with foundation-level theory, this course takes you through pseudocoding and practical exercises. Coding for Beginners includes video lectures, screencasts, tests, assignments, and a beginner-level project - building a simple app in both Scratch and Python.</p>
        <h2>Key Features</h2><p>Learn to code with absolutely no prior knowledge or experience * Build a solid foundation in writing code before you go on to master any coding language * Understand the theory and pseudo coding and build your first app with Scratch and Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/coding-for-beginners-you-can-learn-to-code-</p>
        <h2>About the Author</h2><h3>Greg Hamilton</h3><p>Applause Interactive is a leading digital studio based in London, UK.
Our team is made up of software developers, engineers and professional teachers. We're passionate about education technology (edTech) and eLearning.
We exist to build products that delight people, teach coding, and empower learners all over the world to discover and grow in their digital potential.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. You can code!</h4><p></p><br><h4>3. Coding in a nutshell</h4><p></p><br><h4>4. Common Coding Concepts</h4><p></p><br><h4>5. Coding Project</h4><p></p><br><h4>6. Course Summary</h4><p></p><br><h4>7. Bonus Content</h4><p></p>

Code

Scratch

Coding for Beginners: You can Learn to Code!

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					<div><p><span>Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Machine Learning Course Using Python</span><span> has been specially designed to help learners gain a good command of Machine Learning Course Using Python</span><span>, providing them with a solid foundation of knowledge to become a qualified professional.</span></p><p><span>Through this Machine Learning Course Using Python</span><span>, you will gain both practical and theoretical understanding of Machine Learning Course Using Python</span><span> that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.</span></p><p><span>Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.</span></p></div>
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										<span>Get a deep understanding of the Machine Learning Course Using Python just in hours not years</span>
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										<span>Familiar yourself with the recent development and updates of the relevant industry</span>
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										<span>Know how to use your theoretical and practical knowledge to adapt in any working environment</span>
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										<span>Get help from our expert tutors anytime you need</span>
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										<span> Access to course contents that are designed and prepared by industry professionals</span>
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										<span>Study at your convenient time and from wherever you want </span>
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										<span>No formal qualifications required, anyone from any academic background can take this course.</span>
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								<li>
											<span>
													</span>
										<span>Access to any internet-enabled smart device.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<h2>Why should I take this course?</h2>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>1+ hours of on-demand video lectures and downloadable resources.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Affordable premium-quality E-learning content, you can learn at your own pace.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will receive a completion certificate upon completing the course.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Internationally recognized Accredited Qualification will boost up your resume.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will learn the researched and proven approach adopted by successful salespeople to transform their careers.</span>
									</li>
								<li>
											<span>
													</span>
										<span>You will be able to incorporate various practical sales techniques successfully and understand your customers better.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Module 01: Introduction to Machine Learning Algorithms</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to types of ML algorithm</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 02: Preprocessing</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Importing a dataset in python</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Resolving Missing Values</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Managing Category Variables</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Training and Testing Datasets</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Normalizing Variables</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Normalizing Variables - Python Code</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Summary</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 03: Regression</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Simple Linear Regression - How it works?</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Simple Linear Regreesion - Python Implementation</td><td><span>🕐 00:07:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Multiple Linear Regression - How it works?</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Multiple Linear Regression - Python Implementation</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Decision Trees - How it works?</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Random Forest - How it works?</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Decision Trees and Random Forest - Python Implementation</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 04: Classification</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>kNN - How it works?</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>kNN - Python Implementation</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Decision Tree Classifier and Random Forest Classifier in Python</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>SVM - How it works?</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>SVM - Python Implementation</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Resources</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resources - Machine Learning with Python</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Skill Up

Learning & Development

Online Course Marketing

Machine Learning (ML)

Learning To Learn

Azure Machine Learning

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Machine Learning Course Using Python

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.</p><p></p>Overview<p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.</p><p></p><p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.</p><p></p>Prerequisites<p></p><li>Creating cloud resources in Microsoft Azure.</li>  <li>Using Python to explore and visualize data.</li>  <li>Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.</li>  <li>Working with containers</li>  <li>AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience.</li><p></p></div><div id="course-pills-2"><h3>1 - Design a data ingestion strategy for machine learning projects</h3> <ul> <li>Identify your data source and format</li> <li>Choose how to serve data to machine learning workflows</li> <li>Design a data ingestion solution</li> </ul> <h3>2 - Design a machine learning model training solution</h3> <ul> <li>Identify machine learning tasks</li> <li>Choose a service to train a machine learning model</li> <li>Decide between compute options</li> </ul> <h3>3 - Design a model deployment solution</h3> <ul> <li>Understand how model will be consumed</li> <li>Decide on real-time or batch deployment</li> </ul> <h3>4 - Design a machine learning operations solution</h3> <ul> <li>Explore an MLOps architecture</li> <li>Design for monitoring</li> <li>Design for retraining</li> </ul> <h3>5 - Explore Azure Machine Learning workspace resources and assets</h3> <ul> <li>Create an Azure Machine Learning workspace</li> <li>Identify Azure Machine Learning resources</li> <li>Identify Azure Machine Learning assets</li> <li>Train models in the workspace</li> </ul> <h3>6 - Explore developer tools for workspace interaction</h3> <ul> <li>Explore the studio</li> <li>Explore the Python SDK</li> <li>Explore the CLI</li> </ul> <h3>7 - Make data available in Azure Machine Learning</h3> <ul> <li>Understand URIs</li> <li>Create a datastore</li> <li>Create a data asset</li> </ul> <h3>8 - Work with compute targets in Azure Machine Learning</h3> <ul> <li>Choose the appropriate compute target</li> <li>Create and use a compute instance</li> <li>Create and use a compute cluster</li> </ul> <h3>9 - Work with environments in Azure Machine Learning</h3> <ul> <li>Understand environments</li> <li>Explore and use curated environments</li> <li>Create and use custom environments</li> </ul> <h3>10 - Find the best classification model with Automated Machine Learning</h3> <ul> <li>Preprocess data and configure featurization</li> <li>Run an Automated Machine Learning experiment</li> <li>Evaluate and compare models</li> </ul> <h3>11 - Track model training in Jupyter notebooks with MLflow</h3> <ul> <li>Configure MLflow for model tracking in notebooks</li> <li>Train and track models in notebooks</li> </ul> <h3>12 - Run a training script as a command job in Azure Machine Learning</h3> <ul> <li>Convert a notebook to a script</li> <li>Run a script as a command job</li> <li>Use parameters in a command job</li> </ul> <h3>13 - Track model training with MLflow in jobs</h3> <ul> <li>Track metrics with MLflow</li> <li>View metrics and evaluate models</li> </ul> <h3>14 - Perform hyperparameter tuning with Azure Machine Learning</h3> <ul> <li>Define a search space</li> <li>Configure a sampling method</li> <li>Configure early termination</li> <li>Use a sweep job for hyperparameter tuning</li> </ul> <h3>15 - Run pipelines in Azure Machine Learning</h3> <ul> <li>Create components</li> <li>Create a pipeline</li> <li>Run a pipeline job</li> </ul> <h3>16 - Register an MLflow model in Azure Machine Learning</h3> <ul> <li>Log models with MLflow</li> <li>Understand the MLflow model format</li> <li>Register an MLflow model</li> </ul> <h3>17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning</h3> <ul> <li>Understand Responsible AI</li> <li>Create the Responsible AI dashboard</li> <li>Evaluate the Responsible AI dashboard</li> </ul> <h3>18 - Deploy a model to a managed online endpoint</h3> <ul> <li>Explore managed online endpoints</li> <li>Deploy your MLflow model to a managed online endpoint</li> <li>Deploy a model to a managed online endpoint</li> <li>Test managed online endpoints</li> </ul> <h3>19 - Deploy a model to a batch endpoint</h3> <ul> <li>Understand and create batch endpoints</li> <li>Deploy your MLflow model to a batch endpoint</li> <li>Deploy a custom model to a batch endpoint</li> <li>Invoke and troubleshoot batch endpoints</li> </ul></div>

Nexus Human

Data Engineering

Microsoft AZ-900

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

DP-100T01 Designing and Implementing a Data Science Solution on Azure

"Start your career as a Certified Python Programmer and earn up to £70,000 per Year."
Are you looking to make your mark in the ever-evolving world of Data Analyst? The demand for Python programmers has never been higher. Just in the UK, job postings for Analysts / Python programmers surged by an astounding 70% in 2022. This exponential growth trend signifies the soaring need for skilled Python programmers. Amid this vibrant job market, our Python Programmer online Training is your golden ticket to a prosperous career in programming or Data Analysis. Regardless of your level - beginner or expert - we ensure a comprehensive learning experience that will enhance your current skills and prepare you for the dynamic tech industry.
We envision being your reliable ally throughout your journey - from imparting quality Python training to ensuring your employability in the programming world.
Our Python Certification Program offers more than just technical know-how. We extend comprehensive career mentoring and support designed to mould you into an industry-ready professional. We'll assist you in creating an impressive resume, preparing for interviews, and landing your dream job. With a vast network of partner companies continually looking for Python programmers, we provide an opportunity to get your foot in the door of your desired companies.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Programmers, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Python Certification - IT Program today and start your journey to becoming a successful Python Programmer!
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Certified Python Programmers:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in Python.
One-On-One Consultation: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Python programming field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Certified Python Programmers. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Courses we will provide once you enrol in the program:
Course 01: Computer Science With Python
Course 02: Ultimate Python Training for Beginners
Course 03: Python Intermediate Training
Course 04: Python Advanced Training
Course 05: Deep Learning & Neural Networks Python - Keras
Course 06: Complete Python Machine Learning & Data Science Fundamentals
Course 06: Introduction to Data Analysis
Course 07: Business and Data Analytics for Beginners
Course 08: Data Analytics with Tableau
Course 09: Quick Data Science Approach from Scratch
Course 10: Learn MySQL from Scratch for Data Science and Analytics
Course 11: SQL for Data Science, Data Analytics and Data Visualization
Course 12: Statistics & Probability for Data Science & Machine Learning
Course 13: Basic Google Data Studio
Course 14: Machine Learning with Python Course
Course 15: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 16: Web Scraping and Mapping Dam Levels in Python and Leaflet
Course 17: Coding Essentials - Javascript, ASP. Net, C#
Course 19: Master JavaScript with Data Visualization
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Python Certification - IT Training is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Python Certification Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 19 Premium Courses related to Python Programming. These courses will teach you the knowledge and skills required to become a successful Python Prgrammer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the programming/development industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Python Programming, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Python Programming begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
Beginners with no prior programming experience who are looking to enter the world of coding.
Intermediate programmers who wish to expand their skills and explore Python's extensive usage.
IT professionals seeking to diversify their skill sets and stay relevant in today's tech-driven market.
Data analysts and scientists who want to leverage Python's powerful libraries for their data processing needs.
Students and recent graduates looking to enhance their employability in the thriving tech industry.
Entrepreneurs who wish to understand and utilise Python to automate tasks and analyse data for their businesses.
Anyone with a keen interest in Python programming and a desire to delve into its applications in diverse fields like web development, data science, machine learning, and more.
 Requirements 
No experience required. Just enrol & start learning python.
 Career path 
Upon completion of our Program, the potential career paths include:
Python Developer: £30,000 - £90,000 annually
Data Scientist: £40,000 - £100,000 annually
Machine Learning Engineer: £50,000 - £110,000 annually
Data Analyst: £35,000 - £85,000 annually
Software Engineer: £35,000 - £95,000 annually
Back-end Developer: £40,000 - £95,000 annually
Web Developer: £30,000 -£85,000 annually
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Academy for Health and Fitness

Programming Fundamentals

Career Development

IT Certifications

Become an IT professional with our Python Certification - IT Job Ready Program! Gain comprehensive skills in Python programming, data analysis, and automation. We offer a money-back guarantee if you don't secure a job within six months of completion. Enroll now and jumpstart your tech career!


Ready to land your dream job in tech? Our Python Certification - IT Job Ready Program equips you with essential Python programming, data analysis, and automation skills. Plus, we offer a money-back guarantee if you don't get hired within six months of completing the course. Don't miss out – enroll today and take the first step towards a successful IT career! 💻📊 #PythonCertification #TechTraining #CareerReady #MoneyBackGuarantee

Python Certification - IT Job Ready Program with Money Back Guarantee

<p><strong>Start your career in Data Science and earn up to £90,000 per month.</strong></p><p>Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data <strong>Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.<br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python Programming from Scratch with My SQL Database</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: PyScript Fundamentals Training</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:<br /><br /></strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.<br /><br /></p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.<br /><br /></p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. <br /><br /></p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.<br /><br /></p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.<br /><br /></p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.<br /><br /></p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.<br /><br /></p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Beginners with an interest in Data Science and Python programming.</li><li>Programmers and Software Engineers looking to transition into Data Science.</li><li>Business Analysts and Project Managers aiming to leverage Data Science in their domains.</li><li>Researchers and Academics who wish to utilise Python for complex data analysis.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £60,000 - £90,000</li><li>Machine Learning Engineer: £65,000 - £100,000</li><li>Data Analyst: £40,000 - £60,000</li><li>Business Intelligence Analyst: £45,000 - £70,000</li><li>Data Engineer: £50,000 - £80,000</li><li>Big Data Architect: £70,000 - £120,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career in Data Science and earn up to £90,000 per month.
Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python Programming from Scratch with My SQL Database
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: PyScript Fundamentals Training
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:


Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.


Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.


Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. 


Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.


Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.


Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.


Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.


Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Beginners with an interest in Data Science and Python programming.
Programmers and Software Engineers looking to transition into Data Science.
Business Analysts and Project Managers aiming to leverage Data Science in their domains.
Researchers and Academics who wish to utilise Python for complex data analysis.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Scientist: £60,000 - £90,000
Machine Learning Engineer: £65,000 - £100,000
Data Analyst: £40,000 - £60,000
Business Intelligence Analyst: £45,000 - £70,000
Data Engineer: £50,000 - £80,000
Big Data Architect: £70,000 - £120,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Big Data Analytics

Data Skills

Data Science with Python - IT Job Ready Program with Career Support & Money Back Guarantee

<strong>Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.</strong>
        <p>This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.</p>
        <h2>What You Will Learn</h2><p>When to use Python 2 and when to use Python 3.<br>How to install Python on Windows, Mac, and Linux.<br>How to prepare your computer for programming in Python.<br>The various ways to run a Python program on Windows, Mac, and Linux.<br>Suggested text editors and Integrated Development Environments to use when coding in Python.<br>How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.<br>What variables are and when to use them.<br>How to perform mathematical operations using Python.<br>How to capture input from a user.<br>Ways to control the flow of your programs.<br>The importance of white space in Python.<br>How to organize your Python programs: learn what goes where.<br>What modules are, when you should use them, and how to create your own.<br>How to define and use functions.<br>Important built-in Python functions that you ll use often.<br>How to read from and write to files.<br>The difference between binary and text files.<br>Various ways of getting help, including finding Python documentation.<br></p>
        <h2>Audience</h2><p>This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. </p>
        <h2>Key Features</h2><p>How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-</p>
        <h2>About the Author</h2><h3>Jason Cannon</h3><p>Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies.

Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.</p>
        <h2>Course Outline</h2><h4>1. Course Overview and Downloads</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>Course Overview and Downloads: Course Overview</p></td></tr></tbody></table><br><h4>2. Python Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python 2 vs Python 3</p><p style='margin: 0'>Python Setup: Python 2 vs Python 3</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python on Windows</p><p style='margin: 0'>Python Setup: Installing Python on Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Python on Mac</p><p style='margin: 0'>Python Setup: Installing Python on Mac</p></td></tr><tr><td style='padding: 15px;'><p>4. Installing Python on Linux</p><p style='margin: 0'>Python Setup: Installing Python on Linux</p></td></tr><tr><td style='padding: 15px;'><p>5. Writing Python Programs</p><p style='margin: 0'>Python Setup: Writing Python Programs</p></td></tr><tr><td style='padding: 15px;'><p>6. Running Python Programs</p><p style='margin: 0'>Python Setup: Running Python Programs</p></td></tr></tbody></table><br><h4>3. Strings and Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Strings and Variables: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables and Strings</p><p style='margin: 0'>Strings and Variables: Variables and Strings</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions and Printing</p><p style='margin: 0'>Strings and Variables: Functions and Printing</p></td></tr><tr><td style='padding: 15px;'><p>4. String Methods</p><p style='margin: 0'>Strings and Variables: String Methods</p></td></tr><tr><td style='padding: 15px;'><p>5. String Concatenation</p><p style='margin: 0'>Strings and Variables: String Concatenation</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatting Strings</p><p style='margin: 0'>Strings and Variables: Formatting Strings</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Strings and Variables: Section Summary</p></td></tr><tr><td style='padding: 15px;'><p>8. Solutions to the Practice Exercises - #1 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #1 - Video</p></td></tr><tr><td style='padding: 15px;'><p>9. Solutions to the Practice Exercises - #2 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #2 - Video</p></td></tr><tr><td style='padding: 15px;'><p>10. Solutions to the Practice Exercises - #3 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #3 - Video</p></td></tr></tbody></table><br><h4>4. Numbers and Math</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Numbers and Math: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Numbers, Numeric Operations, and Numeric Functions</p><p style='margin: 0'>Numbers and Math: Numbers, Numeric Operations, and Numeric Functions</p></td></tr><tr><td style='padding: 15px;'><p>3. Comments</p><p style='margin: 0'>Numbers and Math: Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Numbers and Math: Section Summary</p></td></tr></tbody></table><br><h4>5. Booleans and Conditionals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Booleans and Conditionals: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Booleans</p><p style='margin: 0'>Booleans and Conditionals: Booleans</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditionals</p><p style='margin: 0'>Booleans and Conditionals: Conditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Booleans and Conditionals: Section Summary</p></td></tr></tbody></table><br><h4>6. Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Functions: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions, Part I</p><p style='margin: 0'>Functions: Functions, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions, Part II</p><p style='margin: 0'>Functions: Functions, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Functions: Section Summary</p></td></tr></tbody></table><br><h4>7. Lists</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Lists: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Lists</p><p style='margin: 0'>Lists: Lists</p></td></tr><tr><td style='padding: 15px;'><p>3. Slices</p><p style='margin: 0'>Lists: Slices</p></td></tr><tr><td style='padding: 15px;'><p>4. Exception Handling</p><p style='margin: 0'>Lists: Exception Handling</p></td></tr><tr><td style='padding: 15px;'><p>5. Loops</p><p style='margin: 0'>Lists: Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Sorting and Ranges</p><p style='margin: 0'>Lists: Sorting and Ranges</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Lists: Section Summary</p></td></tr></tbody></table><br><h4>8. Dictionaries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Dictionaries: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Dictionaries - Part I</p><p style='margin: 0'>Dictionaries: Dictionaries - Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Dictionaries - Part II</p><p style='margin: 0'>Dictionaries: Dictionaries - Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Dictionaries: Section Summary</p></td></tr></tbody></table><br><h4>9. Tuples</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Tuples: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Tuples</p><p style='margin: 0'>Tuples: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>3. Section Summary</p><p style='margin: 0'>Tuples: Section Summary</p></td></tr></tbody></table><br><h4>10. Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Files: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Files, Part I</p><p style='margin: 0'>Files: Files, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Files, Part II</p><p style='margin: 0'>Files: Files, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Files: Section Summary</p></td></tr></tbody></table><br><h4>11. Modules</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Modules, Part I</p><p style='margin: 0'>Modules: Modules, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules, Part II</p><p style='margin: 0'>Modules: Modules, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr></tbody></table>

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

Python for Beginners: Learn Python Programming (Python 3)

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

Python Programming

<p><strong>Start your career as a Data Scientist and earn upto £90,000/ Year</strong></p><p>Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring <strong>Data Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some <strong>Data Scientist</strong> experience, we will guide you towards honing your skills and developing a strong foundation in <strong>Data Science</strong>.<br /><br /></li><li><strong>Tailored CV Building:</strong> Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the <strong>Data Science</strong> field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. <br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. <br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Ultimate Python Training for Beginners</li><li>Course 02: Python Intermediate Training</li><li>Course 03: Python Advanced Training</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Basic Data Analysis</li><li>Course 06: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li>Course 07: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li>Course 08: Customer Analytics Training</li><li>Course 09: Google Analytics for Everyone</li><li>Course 10: Google Data Studio: Data Analytics</li><li>Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li>Course 12: Big Data Analytics with PySpark Power BI and MongoDB</li><li>Course 13: Excel Data Analysis</li><li>Course 14: Introduction to Data Analytics with Tableau</li><li>Course 15: Machine Learning with Python Course</li><li>Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:</strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the <strong>Data Scientist </strong>Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to <strong>Data Scientist</strong>. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.</p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the <strong>Data Scientist</strong> industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.</p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.</p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.</p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.</p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.</p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in <strong>Data Science</strong> begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring data scientists looking to enter the exciting field of data science.</li><li>Professionals from other disciplines who want to transition into the data science domain.</li><li>Software engineers or programmers interested in expanding their skill set to include data science.</li><li>Analysts or researchers who want to enhance their data analysis and modeling capabilities.</li><li>Students or graduates seeking to kick-start their careers in data science with a strong foundation.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £55,000 per year</li><li>Data Scientist: £40,000 - £85,000 per year</li><li>Machine Learning Engineer: £50,000 - £100,000 per year</li><li>Data Engineer: £45,000 - £80,000 per year</li><li>Business Intelligence Analyst: £35,000 - £65,000 per year</li><li>Data Science Manager: £70,000 - £120,000 per year.</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate </h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career as a Data Scientist and earn upto £90,000/ Year
Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Data Scientist experience, we will guide you towards honing your skills and developing a strong foundation in Data Science.
Tailored CV Building: Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.
Here are the courses we will provide once you enrol in the program:
Course 01: Ultimate Python Training for Beginners
Course 02: Python Intermediate Training
Course 03: Python Advanced Training
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Basic Data Analysis
Course 06: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 07: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 08: Customer Analytics Training
Course 09: Google Analytics for Everyone
Course 10: Google Data Studio: Data Analytics
Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB
Course 12: Big Data Analytics with PySpark Power BI and MongoDB
Course 13: Excel Data Analysis
Course 14: Introduction to Data Analytics with Tableau
Course 15: Machine Learning with Python Course
Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Scientist Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Scientist. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Scientist industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Aspiring data scientists looking to enter the exciting field of data science.
Professionals from other disciplines who want to transition into the data science domain.
Software engineers or programmers interested in expanding their skill set to include data science.
Analysts or researchers who want to enhance their data analysis and modeling capabilities.
Students or graduates seeking to kick-start their careers in data science with a strong foundation.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Analyst: £25,000 - £55,000 per year
Data Scientist: £40,000 - £85,000 per year
Machine Learning Engineer: £50,000 - £100,000 per year
Data Engineer: £45,000 - £80,000 per year
Business Intelligence Analyst: £35,000 - £65,000 per year
Data Science Manager: £70,000 - £120,000 per year.
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Data Analyst

Data Scientist with Python - IT Job Ready Program + Career Support & Money Back Guarantee

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

The Ultimate Guide to Python Programming with Python 3.10

<strong>This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.</strong>
        <p>Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python.

This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions.

Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum.

By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Master Python programming fundamentals<br>Learn how to install Python to get up and running in no time<br>Learn how to process data to create Olympics Medals Tables<br>Solve multiple specific problems for a customer in the real world<br>Learn all about objects and variables in Python<br>Understand functions and function parameters in Python</p>
        <h2>Audience</h2><p>Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.</p>
        <h2>Approach</h2><p>This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.</p>
        <h2>Key Features</h2><p>Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>About the Author</h2><h3>Paul Ashun</h3><p>Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook.

He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video is an introduction the course and what you can expect from the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Learning Objectives - Introduction</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>3. What Is Python?</p><p style='margin: 0'>This video explains what Python is and the need for Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Example</p><p style='margin: 0'>This video explains an example of a software engineer working in a media company to support the development team.</p></td></tr></tbody></table><br><h4>2. Getting Set Up</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Get Started with Replit</p><p style='margin: 0'>This video explains how to get started with Replit.</p></td></tr><tr><td style='padding: 15px;'><p>3. Writing Your First Python Program-Hello World</p><p style='margin: 0'>This video explains writing your first Python program-Hello World.</p></td></tr></tbody></table><br><h4>3. Storing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Objects and Variables</p><p style='margin: 0'>This video explains objects and variables in Python using an example of Olympic results.</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Names</p><p style='margin: 0'>This video explains variable names in Python and the rules to use them.</p></td></tr><tr><td style='padding: 15px;'><p>4. Numbers</p><p style='margin: 0'>This video explains the different types of numbers in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Strings</p><p style='margin: 0'>This video explains strings in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Showing Output When Running Python</p><p style='margin: 0'>This video explains showing output when running Python.</p></td></tr></tbody></table><br><h4>4. Processing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Information</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing Information</p><p style='margin: 0'>This video explains processing information in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Indexing</p><p style='margin: 0'>This video explains indexing in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Slices</p><p style='margin: 0'>This video explains slices in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. String Functions</p><p style='margin: 0'>This video explains string functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. The 'input' Function</p><p style='margin: 0'>This video explains the input function in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. More String Operations</p><p style='margin: 0'>This video explains more string operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Converting Between Different Types</p><p style='margin: 0'>This video explains converting between different types.</p></td></tr></tbody></table><br><h4>5. Comparing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Comparing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Comparing Information</p><p style='margin: 0'>This video explains comparing information in Python.</p></td></tr></tbody></table><br><h4>6. Tidying Messy Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Tidying Messy Data</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Tidying Messy Data</p><p style='margin: 0'>This video explains how to tidy messy data.</p></td></tr></tbody></table><br><h4>7. Storing Multiple Things</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Multiple Things</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Storing Multiple Things</p><p style='margin: 0'>This video explains how to store multiple things.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introducing Python Lists</p><p style='margin: 0'>This video explains lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Items to a List</p><p style='margin: 0'>This video explains how to add items to a list.</p></td></tr><tr><td style='padding: 15px;'><p>5. Indexing and Slicing Lists</p><p style='margin: 0'>This video explains indexing and slicing lists.</p></td></tr><tr><td style='padding: 15px;'><p>6. Deleting Items in a List</p><p style='margin: 0'>This video explains how to delete items in a list.</p></td></tr><tr><td style='padding: 15px;'><p>7. Tuples</p><p style='margin: 0'>This video explains tuples in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Long Lines in Python</p><p style='margin: 0'>This video explains long lines in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dictionaries</p><p style='margin: 0'>This video explains dictionaries in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. List Functions - More Ways to Work with Lists</p><p style='margin: 0'>This video explains list functions.</p></td></tr><tr><td style='padding: 15px;'><p>11. Sets</p><p style='margin: 0'>This video explains sets in Python.</p></td></tr></tbody></table><br><h4>8. Processing Collections</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Collections</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. A Simple 'for' Loop</p><p style='margin: 0'>This video explains a simple for loop.</p></td></tr><tr><td style='padding: 15px;'><p>3. More Complex 'for' loops - 'break', 'continue', and 'else'</p><p style='margin: 0'>This video explains more complex 'for' loops.</p></td></tr><tr><td style='padding: 15px;'><p>4. The 'range' Function - How to Create a List of Numbers</p><p style='margin: 0'>This video explains how to create a list of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. The 'while' Loop - Do Something for a While</p><p style='margin: 0'>This video explains the while loop.</p></td></tr></tbody></table><br><h4>9. Robust Programs - Handling Errors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains error handling in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Look Before You Leap</p><p style='margin: 0'>This video explains one way of making the code more robust, which is called 'look before you leap'.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Try and Except Block</p><p style='margin: 0'>This video explains the try and except block in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. The Catch-All Block</p><p style='margin: 0'>This video explains the catch-all block.</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Resources to Replit</p><p style='margin: 0'>This video explains how to add resources to Replit.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Finally Block</p><p style='margin: 0'>This video explains the finally block.</p></td></tr></tbody></table><br><h4>10. Saving the Results - Working with Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Saving the Results - Working with Files</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Adding Bad Data</p><p style='margin: 0'>This video explains adding bad data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Saving the Results - Working with Files</p><p style='margin: 0'>This video explains saving the results and working with files.</p></td></tr><tr><td style='padding: 15px;'><p>4. Binary File Modes</p><p style='margin: 0'>This video explains binary file modes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Text File Modes</p><p style='margin: 0'>This video explains text file modes.</p></td></tr><tr><td style='padding: 15px;'><p>6. The With Statement</p><p style='margin: 0'>This video explains the with statement.</p></td></tr></tbody></table><br><h4>11. Breaking Up Larger Programs, Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 1</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. About Replit.config</p><p style='margin: 0'>This video explains replit.config.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions</p><p style='margin: 0'>This video explains functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Function Parameters</p><p style='margin: 0'>This video explains function parameters.</p></td></tr><tr><td style='padding: 15px;'><p>5. Local Versus Global Variables</p><p style='margin: 0'>This video explains local versus global variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Positional and Keyword Parameters</p><p style='margin: 0'>This video explains positional and keyword parameters.</p></td></tr><tr><td style='padding: 15px;'><p>7. Return Statement</p><p style='margin: 0'>This video explains the return statement.</p></td></tr><tr><td style='padding: 15px;'><p>8. Working With JSON</p><p style='margin: 0'>This video explains working with JSON.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Comments and Clear Code</p><p style='margin: 0'>This video explains code comments in Python.</p></td></tr></tbody></table><br><h4>12. Summarising and Presenting the Results</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Summarising and Presenting the Results</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Summarising and Presenting the Results Part 1</p><p style='margin: 0'>This video explains how to summarise the results using statistics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Cleaning the Data</p><p style='margin: 0'>This video explains cleaning the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Summarising and Presenting the Results Part 2</p><p style='margin: 0'>This video explains the code in which we will get a sum of the scores of a country.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Numeric Functions - Min, Max, Sum</p><p style='margin: 0'>This video explains min, max, and sum functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatted Strings, f-strings</p><p style='margin: 0'>This video explains formatted strings and f-strings in Python.</p></td></tr></tbody></table><br><h4>13. Breaking Up Larger Programs, Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 2</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Splitting Code into Modules</p><p style='margin: 0'>This video explains splitting code into modules.</p></td></tr><tr><td style='padding: 15px;'><p>3. Namespaces</p><p style='margin: 0'>This video explains namespaces in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Our Modules</p><p style='margin: 0'>This video explains how to use modules in Python.</p></td></tr></tbody></table><br><h4>14. Getting Set Up on a PC or MAC</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up on a PC or MAC</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Set Up</p><p style='margin: 0'>This video explains how to set up Python on our systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Starting Python on Windows 10</p><p style='margin: 0'>This video explains how to start Python on Windows 10.</p></td></tr><tr><td style='padding: 15px;'><p>4. Starting a Terminal or Command Prompt on Windows</p><p style='margin: 0'>This video explains how to start a terminal or command prompt on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Python on Windows</p><p style='margin: 0'>This video explains the installation of Python on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing Python on MacOS</p><p style='margin: 0'>This video explains the installation on Python on MacOS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Quick Python Test - Running Python</p><p style='margin: 0'>This video explains how to run a Python script.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Scripts and IDLE</p><p style='margin: 0'>This video explains Python scripts and IDE.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Editors and IDEs</p><p style='margin: 0'>This video explains code editors and IDEs.</p></td></tr><tr><td style='padding: 15px;'><p>10. Running Python Scripts</p><p style='margin: 0'>This video explains how to run Python scripts.</p></td></tr></tbody></table>

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

Python Bootcamp in a Day - Python Programming for Beginners.

Network

Networking

Cisco

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

Python Network Programming for Network Engineers (Python 3)

<p><strong>Introducing Coding using Python</strong></p>
<p>This course introduces your child to a very advanced, yet easy to learn programming languages &ndash; Python. It&rsquo;s safe to say that many apps we use today have been built using Python &ndash; Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.</p>

Riva Learning

Programming Languages

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Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

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