32 PCA courses

LEARNING OUTCOMES After completing this course, learners will be able to: * Learn Python for data analysis using NumPy and Pandas * Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas * Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks * Understand Python for data science and machine learning  * Get acquainted with Recommender Systems with Python * Enhance your understanding of Python for Natural Language Processing (NLP) DESCRIPTION Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. CERTIFICATE OF ACHIEVEMENT 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.  METHOD OF ASSESSMENT 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. CAREER PATH After completing this course, you can explore various career options such as * Web Developer * Software Engineer * Data Scientist * Machine Learning Engineer * Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. COURSE CONTENT Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 FREQUENTLY ASKED QUESTIONS Are there any prerequisites for taking the course? 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. Can I access the course at any time, or is there a set schedule? 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. How long will I have access to the course? 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. Is there a certificate of completion provided after completing the course? 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. Can I switch courses or get a refund if I'm not satisfied with the course? 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. How do I track my progress in the course? 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. What if I have technical issues or difficulties with the course? 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.

Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights

This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. LEARNING OUTCOMES * Understanding the foundations and functionalities of Python, focusing on its application in data science. * Applying various Python libraries like NumPy and Pandas for effective data analysis. * Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. * Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. * Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. * Exploring advanced topics, encompassing recommender systems and natural language processing with Python. * Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Player https://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp4 00:00 00:00 00:00 Use Up/Down Arrow keys to increase or decrease volume. WHY BUY THIS CERTIFICATE IN DATA SCIENCE AND VISUALISATION WITH MACHINE LEARNING AT QLS LEVEL 3? 1. Unlimited access to the course for a lifetime. 2. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. 3. Structured lesson planning in line with industry standards. 4. Immerse yourself in innovative and captivating course materials and activities. 5. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. 6. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. 7. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. WHO IS THIS CERTIFICATE IN DATA SCIENCE AND VISUALISATION WITH MACHINE LEARNING AT QLS LEVEL 3 COURSE FOR? * Aspiring data scientists aiming to harness the power of Python. * Researchers keen to enrich their analytical and visualisation skills. * Analysts aiming to add machine learning to their toolkit. * Developers striving to integrate data analytics into applications. * Business professionals desiring data-driven decision-making capabilities. CAREER PATH * Data Scientist: £55,000 - £85,000 Per Annum * Machine Learning Engineer: £60,000 - £90,000 Per Annum * Data Analyst: £30,000 - £50,000 Per Annum * Data Visualisation Specialist: £45,000 - £70,000 Per Annum * Natural Language Processing Specialist: £65,000 - £95,000 Per Annum * Business Intelligence Developer: £40,000 - £65,000 Per Annum PREREQUISITES This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. CERTIFICATION After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. COURSE CURRICULUM Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

Best Price Of The Market Give a compliment to your career and take it to the next level. This Database Administrator bundle 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 Database Administrator bundle will help you stay ahead of the pack. Throughout the Database Administrator programme, 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. Along with this Database Administrator course, you will get 10 premium courses, an originalhardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Database Administrator Bundle Consists of the following Premium courses: * Course 01: Introduction to Data Analysis * Course 02: Data Center Training Essentials: General Introduction * Course 03: Data Analytics with Tableau * Course 04: Basic Google Data Studio * Course 05: Complete Google Analytics Course * Course 06: Python for Data Analysis * Course 07: Data Analysis in Excel Level 3 Course * Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query * Course 09: GDPR Data Protection Level 5 * Course 10: Level 3 Cyber Security * Course 11: Encryption Enrol now in Database Administrator to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the Database Administrator course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. * PDF Certificate: Free (Previously it was £10 * 11 = £110) * Hard Copy Certificate: Free (For The Title Course) PS The delivery charge inside the UK is £3.99, and the international students have to pay £9.99. The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Database Administrator expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Curriculum of Bundle Course 01: Introduction to Data Analysis * Module 01: Introduction * Module 02: Agenda and Principles of Process Management * Module 03: The Voice of the Process * Module 04: Working as One Team for Improvement * Module 05: Exercise: The Voice of the Customer * Module 06: Tools for Data Analysis * Module 07: The Pareto Chart * Module 08: The Histogram * Module 09: The Run Chart * Module 10: Exercise: Presenting Performance Data * Module 11: Understanding Variation * Module 12: The Control Chart * Module 13: Control Chart Example * Module 14: Control Chart Special Cases * Module 15: Interpreting the Control Chart * Module 16: Control Chart Exercise * Module 17: Strategies to Deal with Variation * Module 18: Using Data to Drive Improvement * Module 19: A Structure for Performance Measurement * Module 20: Data Analysis Exercise * Module 21: Course Project * Module 22: Test your Understanding Course 02: Data Center Training Essentials: General Introduction * Module 01: Data Center Introduction * Module 02: Data Center Reliability * Module 03: Data Center Equipment * Module 04: Data Center White Space * Module 05: Data Center Support Spaces * Module 06: Data Center Security, Safety, Networks and IT Course 03: Data Analytics with Tableau * Module 01: Introduction to the Course * Module 02: Project 1: Discount Mart (Sales and Profit Analytics) * Module 03: Project 2: Green Destinations (HR Analytics) * Module 04: Project 3: Superstore (Sales Agent Tracker) * Module 05: Northwind Trade (Shipping Analytics) * Module 06: Project 5: Tesla (Stock Price Analytics) * Module 07: Bonus: Introduction to Database Concepts * Module 08: Tableau Stories Course 04: Basic Google Data Studio * Module 01: Introduction to GDS * Module 02: Data Visualization * Module 03: Geo-visualization * Module 04: A Socio-Economic Case Study Course 05: Complete Google Analytics Course * Module 01: Overview * Module 02: Navigation and Admin * Module 03: Creating a New Google Analytics Account * Module 04: Website Account Creation * Module 05: Connecting To WordPress Website * Module 06: Connecting To HTML Site * Module 07: Connect Custom Page and Site Builders * Module 08: Setting Up Annotations * Module 09: Setting Up Intelligence Events * Module 10: Set Up Custom Segments * Module 11: Export Data for Analysis * Module 12: Set Up Custom Reports * Module 13: Set Up Google Integrations * Module 14: Google Analytics Templates * Module 15: Real Time Reporting * Module 16: Setting Up Goals * Module 17: Third Party Integrations * Module 18: Audience Menu Overview * Module 19: Interests and Geography * Module 20: Conclusion Course 06: Python for Data Analysis * Welcome, Course Introduction & overview, and Environment set-up * Python Essentials * Python for Data Analysis using NumPy * Python for Data Analysis using Pandas * Python for Data Visualization using matplotlib * Python for Data Visualization using Seaborn * Python for Data Visualization using pandas * Python for interactive & geographical plotting using Plotly and Cufflinks * Capstone Project - Python for Data Analysis & Visualization * Python for Machine Learning (ML) - scikit-learn - Linear Regression Model * Python for Machine Learning - scikit-learn - Logistic Regression Model * Python for Machine Learning - scikit-learn - K Nearest Neighbors * Python for Machine Learning - scikit-learn - Decision Tree and Random Forests * Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) * Python for Machine Learning - scikit-learn - K Means Clustering * Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) * Recommender Systems with Python - (Additional Topic) * Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 07: Data Analysis in Excel Level 3 Course * Modifying a Worksheet * Working with Lists * Analyzing Data * Visualizing Data with Charts * Using PivotTables and PivotCharts * Working with Multiple Worksheets and Workbooks * Using Lookup Functions and Formula Auditing * Automating Workbook Functionality * Creating Sparklines and Mapping Data * Forecasting Data Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query * Introduction * Prepaid Expenses Models: Resources Download * Accounting for Prepaid Expenses * Excel Formulas Detailed: Introduction to three Excel Models * Formula Based Prepaid Expenses Model * Calculate Prepaid Expenses Amortisation from Exact Start Date * Prepaid Expenses Summary with Power Query and Pivot Table * Advanced VBA Prepaid Expenses Amortisation Model * BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way * Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic * Thankyou Course 09: GDPR Data Protection Level 5 * Module 01: GDPR Basics * Module 02: GDPR Explained * Module 03: Lawful Basis for Preparation * Module 04: Rights and Breaches * Module 05: Responsibilities and Obligations Course 10: Level 3 Cyber Security * FUNDAMENTALS OF NETWORKING * GETTING STARTED WITH CYBER SECURITY * LET'S BEGIN - THE FUNDAMENTALS OF CYBER SECURITY * DIVING DEEP INTO CYBER SECURITY * TYPES OF ACTORS, ATTACKS, MALWARE AND RESOURCES * FIREWALLS AND ANTIVIRUS * KEY SECURITY CONCEPTS Course 11: Encryption * Section 01: Introduction * Section 02: Basics of Common Encryption * Section 03: Technical Aspects of Encryption * Section 04: AES Basic Tech Demo * Section 05: File and System Encryption * Section 06: Conclusion CPD 120 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? Anyone from any background can enrol in this Database Administrator bundle. REQUIREMENTS This Database Administrator course has been designed to be fully compatible with tablets and smartphones. CAREER PATH Having this expertise will increase the value of your CV and open you up to multiple job sectors. CERTIFICATES CERTIFICATE OF COMPLETION Digital certificate - Included CERTIFICATE OF COMPLETION Hard copy certificate - Included P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.

This course aims to teach you how to use Python for machine learning and data science.

Give a compliment to your career and take it to the next level. This SQL (Structured Query Language) will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this coursewill help you keep ahead of the pack. The course incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this SQL (Structured Query Language) will add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the SQL (Structured Query Language), you can equip yourself with the essentials to keep you afloat into the competition. Along with this SQL (Structured Query Language) course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. This Bundle Consists of the following Premium courses: * Course 01: SQL Server for Beginners * Course 02: Microsoft SQL Server Development for Everyone * Course 03: Python for Data Analysis * Course 04: Coding with HTML, CSS, & JavaScript * Course 05: Modern Web Designing - Level 2 * Course 06: Diploma in PHP Web Development * Course 07: Front End Web Development Diploma * Course 08: Secure Programming of Web Applications * Course 09: Linux for Absolute Beginners! * Course 10: Ethical Hacking * Course 11: Creativity and Problem Solving Skills So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this SQL (Structured Query Language): * One payment, but lifetime access to 11 CPD courses * Certificate, student ID for the title course included in a one-time fee * Full tutor support available from Monday to Friday * Free up your time - don't waste time and money travelling for classes * Accessible, informative modules taught by expert instructors * Learn at your ease - anytime, from anywhere * Study the course from your computer, tablet or mobile device * CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. * PDF Certificate: Free (Previously it was £6*11 = £66) * Hard Copy Certificate: Free (For The Title Course: Previously it was £10) Curriculum of the Bundle Course 01: SQL Server for Beginners * Introduction * Setup * Basic queries * Security * MSSQL and different drivers * Files * General Course 02: Microsoft SQL Server Development for Everyone * Introduction * Manipulating Tables and Data * Relationships Foreign Keys * Group By and Aggregate Functions * Advanced Server Objects and Concepts Course 03: Python for Data Analysis * Welcome, Course Introduction & overview, and Environment set-up * Python Essentials * Python for Data Analysis using NumPy * Python for Data Analysis using Pandas * Python for Data Visualization using matplotlib * Python for Data Visualization using Seaborn * Python for Data Visualization using pandas * Python for interactive & geographical plotting using Plotly and Cufflinks * Capstone Project - Python for Data Analysis & Visualization * Python for Machine Learning (ML) - scikit-learn - Linear Regression Model * Python for Machine Learning - scikit-learn - Logistic Regression Model * Python for Machine Learning - scikit-learn - K Nearest Neighbors * Python for Machine Learning - scikit-learn - Decision Tree and Random Forests * Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) * Python for Machine Learning - scikit-learn - K Means Clustering * Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) * Recommender Systems with Python - (Additional Topic) * Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 04: Coding with HTML, CSS, & Javascript * Welcome * HTML 5 * CSS 3 * Bootstrap * Project 1 - Design a Landing Page * Project 2 - Business Website * SProject 3 - Portfolio Course 05: Modern Web Designing - Level 2 Module: 01 * 1.1 Intro * 1.2 Install the Tools and Get Started Module: 02 * 2.1 Intro to HTML * 2.2 What is HTML * 2.3 Start a New HTML File & Use Tags * 2.4 Header Tags * 2.5 Edit Text * 2.6 Links * 2.7 Images * 2.8 Lists * 2.9 Challenge * 2.10 HTML Outro Module: 03 * 3.1 CSS Intro * 3.2 Add CSS Styles * 3.3 Classes and IDs * 3.4 Borders * 3.5 Sizing * 3.6 Padding and Margin * 3.7 Text Styles * 3.8 DIVs * 3.9 Postioning * 3.10 Hover * 3.11 Easily Center Elements * 3.12 Fonts * 3.13 Challenge * 3.14 CSS Outro Module: 04 * 4.1 Intro to Bootstrap * 4.2 Install Bootstrap * 4.3 Indenting and Containers * 4.4 The Grid System * 4.5 Images * 4.6 Buttons * 4.7 Challenge * 4.8 Bootstrap Outro Module: 05 * 5.1 Landing Page Intro * 5.2 Sketch Your Landing Page * 5.3 The Top Section * 5.4 Polish the Top Section * 5.5 Adding Images * 5.6 The Main Points Section * 5.7 Collecting Emails With an Opt-In Form * 5.8 Challenge * 5.9 Landing Page Outro Module: 06 * 6.1 Business Site Intro * 6.2 Sketch Up * 6.3 Using Fancy Font Logo * 6.4 Carousel Basics * 6.5 Carousel Extras * 6.6 Text on Images * 6.7 Phone Number Icon * 6.8 Google Maps * 6.9 Font Awesome * 6.10 Challenge * 6.11 Business Site Outro Module: 07 * 7.1 Intro * 7.2 Portfolio Sketch * 7.3 Jumbotron * 7.4 Nav Bar * 7.5 Panels * 7.6 Challenge * 7.7 Portfolio Outre Module: 08 * 8.1 Hosting * 8.2 Bluehost * 8.3 Uploading * 8.4 Tips * 8.5 Hosting Outro Course 06: Diploma in PHP Web Development * Unit 01: Introduction * Unit 02: Environment Configuration * Unit 03: PHP Basics and Syntax * Unit 04: PHP Forms and MySQL and User Authentication Course 07: Front End Web Development Diploma * Welcome to the course! * Web Development Basics - HTML * Advanced HTML Concepts * Introduction to Cascading Style Sheets (CSS) * Advanced CSS * JavaScript for Begeinners * More JavaScript Concepts * Getting Started with jQuery * More jQuery * Bootstrap Basics * Project #2 - Pipboy from Fallout 4 * Project #3 - Google Chrome Extension * BONUS - Coding Another Google Chrome Extension Course 08: Secure Programming of Web Applications * Section 01: Introduction * Section 02: Well-known Vulnerabilities and Secure Programming * Section 03: Conclusion and Summary Course 09: Linux for Absolute Beginners! * Introduction to Linux * Linux Installation * Linux Command Line Interface (CLI) Essentials * Advanced CLI Usage * Linux Development Tools * Web Development Project * Web Server Setup, Host Cofiguration and App Deployment * Linux User Management * Linux Network Administration Course 10: Ethical Hacking * Introduction to Ethical Hacking * Reconnaissance - Surveying the Attack Surface * Scanning and Enumeration - Getting Down to Business * Network Presence * Attacking * Web Hacking * Social Engineering - Hacking Humans Course 11: Creativity and Problem Solving Skills * Getting Started * The Problem Solving Method * Information Gathering * Problem Definition * Preparing for Brainstorming * Generating Solutions (I) * Generating Solutions (II) * Analyzing Solutions * Selecting a Solution * Planning Your Next Steps * Recording Lessons Learned CPD 135 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? Anyone from any background can enrol in this SQL (Structured Query Language) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. REQUIREMENTS Our SQL (Structured Query Language) is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. CAREER PATH Having these various expertise will increase the value in your CV and open you up to multiple job sectors. CERTIFICATES CERTIFICATE OF COMPLETION Digital certificate - Included CERTIFICATE OF COMPLETION Hard copy certificate - Included You will get the Hard Copy certificate for the title course (SQL Server for Beginners) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

***Limited Time Exclusive Bundle*** Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now Tired of browsing and searching for a Database Administrator course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Database Administrator bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Database Administrator course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Database Administrator and help you along your learning journey. Advanced audio-visual learning modules of these Database Administrator courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Database Administrator, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Database Administrator Bundle Consists of the following Premium courses: * Course 01: Introduction to Data Analysis * Course 02: Data Center Training Essentials: General Introduction * Course 03: Data Analytics with Tableau * Course 04: Basic Google Data Studio * Course 05: Complete Google Analytics Course * Course 06: Python for Data Analysis * Course 07: Data Analysis in Excel Level 3 Course * Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query * Course 09: GDPR Data Protection Level 5 * Course 10: Level 3 Cyber Security * Course 11: Encryption * Course 12: Windows 10 Pro Complete Training * Course 13: Functional Skills IT * Course 14: Learning Computers and Internet Level 2 Benefits you'll get choosing Apex Learning: * Pay once and get lifetime access to 14 CPD courses * Free e-Learning App for engaging reading materials & helpful assistance * Certificates, student ID for the title course included in a one-time fee * Free up your time - don't waste time and money travelling for classes * Accessible, informative modules designed by expert instructors * Learn at your ease - anytime, from anywhere * Study the course from your computer, tablet or mobile device * CPD accredited course - improve the chance of gaining professional skills * Gain valuable knowledge without leaving your home How will I get my Certificate? After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. * PDF Certificate: Free (For The Title Course) * Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Database Administrator expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis * Module 01: Introduction * Module 02: Agenda and Principles of Process Management * Module 03: The Voice of the Process * Module 04: Working as One Team for Improvement * Module 05: Exercise: The Voice of the Customer * Module 06: Tools for Data Analysis * Module 07: The Pareto Chart * Module 08: The Histogram * Module 09: The Run Chart * Module 10: Exercise: Presenting Performance Data * Module 11: Understanding Variation * Module 12: The Control Chart * Module 13: Control Chart Example * Module 14: Control Chart Special Cases * Module 15: Interpreting the Control Chart * Module 16: Control Chart Exercise * Module 17: Strategies to Deal with Variation * Module 18: Using Data to Drive Improvement * Module 19: A Structure for Performance Measurement * Module 20: Data Analysis Exercise * Module 21: Course Project * Module 22: Test your Understanding Course 02: Data Center Training Essentials: General Introduction * Module 01: Data Center Introduction * Module 02: Data Center Reliability * Module 03: Data Center Equipment * Module 04: Data Center White Space * Module 05: Data Center Support Spaces * Module 06: Data Center Security, Safety, Networks and IT Course 03: Data Analytics with Tableau * Module 01: Introduction to the Course * Module 02: Project 1: Discount Mart (Sales and Profit Analytics) * Module 03: Project 2: Green Destinations (HR Analytics) * Module 04: Project 3: Superstore (Sales Agent Tracker) * Module 05: Northwind Trade (Shipping Analytics) * Module 06: Project 5: Tesla (Stock Price Analytics) * Module 07: Bonus: Introduction to Database Concepts * Module 08: Tableau Stories Course 04: Basic Google Data Studio * Module 01: Introduction to GDS * Module 02: Data Visualization * Module 03: Geo-visualization * Module 04: A Socio-Economic Case Study Course 05: Complete Google Analytics Course * Module 01: Overview * Module 02: Navigation and Admin * Module 03: Creating a New Google Analytics Account * Module 04: Website Account Creation * Module 05: Connecting To WordPress Website * Module 06: Connecting To HTML Site * Module 07: Connect Custom Page and Site Builders * Module 08: Setting Up Annotations * Module 09: Setting Up Intelligence Events * Module 10: Set Up Custom Segments * Module 11: Export Data for Analysis * Module 12: Set Up Custom Reports * Module 13: Set Up Google Integrations * Module 14: Google Analytics Templates * Module 15: Real Time Reporting * Module 16: Setting Up Goals * Module 17: Third Party Integrations * Module 18: Audience Menu Overview * Module 19: Interests and Geography * Module 20: Conclusion Course 06: Python for Data Analysis * Welcome, Course Introduction & overview, and Environment set-up * Python Essentials * Python for Data Analysis using NumPy * Python for Data Analysis using Pandas * Python for Data Visualization using matplotlib * Python for Data Visualization using Seaborn * Python for Data Visualization using pandas * Python for interactive & geographical plotting using Plotly and Cufflinks * Capstone Project - Python for Data Analysis & Visualization * Python for Machine Learning (ML) - scikit-learn - Linear Regression Model * Python for Machine Learning - scikit-learn - Logistic Regression Model * Python for Machine Learning - scikit-learn - K Nearest Neighbors * Python for Machine Learning - scikit-learn - Decision Tree and Random Forests * Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) * Python for Machine Learning - scikit-learn - K Means Clustering * Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) * Recommender Systems with Python - (Additional Topic) * Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 07: Data Analysis in Excel Level 3 Course * Modifying a Worksheet * Working with Lists * Analyzing Data * Visualizing Data with Charts * Using PivotTables and PivotCharts * Working with Multiple Worksheets and Workbooks * Using Lookup Functions and Formula Auditing * Automating Workbook Functionality * Creating Sparklines and Mapping Data * Forecasting Data Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query * Introduction * Prepaid Expenses Models: Resources Download * Accounting for Prepaid Expenses * Excel Formulas Detailed: Introduction to three Excel Models * Formula Based Prepaid Expenses Model * Calculate Prepaid Expenses Amortisation from Exact Start Date * Prepaid Expenses Summary with Power Query and Pivot Table * Advanced VBA Prepaid Expenses Amortisation Model * BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way * Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic * Thankyou Course 09: GDPR Data Protection Level 5 * Module 01: GDPR Basics * Module 02: GDPR Explained * Module 03: Lawful Basis for Preparation * Module 04: Rights and Breaches * Module 05: Responsibilities and Obligations Course 10: Level 3 Cyber Security * FUNDAMENTALS OF NETWORKING * GETTING STARTED WITH CYBER SECURITY * LET'S BEGIN - THE FUNDAMENTALS OF CYBER SECURITY * DIVING DEEP INTO CYBER SECURITY * TYPES OF ACTORS, ATTACKS, MALWARE AND RESOURCES * FIREWALLS AND ANTIVIRUS * KEY SECURITY CONCEPTS Course 11: Encryption * Section 01: Introduction * Section 02: Basics of Common Encryption * Section 03: Technical Aspects of Encryption * Section 04: AES Basic Tech Demo * Section 05: File and System Encryption * Section 06: Conclusion Course 12: Windows 10 Pro Complete Training * Module 01: Course Overview * Module 02: Building Your Virtual Lab Environment * Module 03: Upgrading Windows 7, 8, or 8.1 to Windows 10 * Module 04: Building a Microsoft Server 2016 Domain * Module 05: Windows Deployment Services (WDS) * Module 06: Windows 10 Firewall, Windows Defender and UAC * Module 07: Networking * Module 08: Troubleshooting * Module 09: User Preferences * Module 10: Maintenance Course 13: Functional Skills IT * Section 1: Introduction * Section 2: Information Technology * Section 3: Components of IT * Section 4: Hardware * Section 5: Operating System * Section 6: Application/Software * Section 7: Networking * Section 8: Security * Section 9: Traffic Flow & Enterprise Level IT Components * Section 10: Storage * Section 11: Database * Section 12: Virtualisation & Cloud * Section 13: Management & Other IT Jobs Course 14: Learning Computers and Internet Level 2 * Module 01 : Computer Operating and Troubleshooting * Module 02 : Internet and Computing - Key Applications * Module 03 : Internet and Computing - Tools & Networking * Module 04 : Windows 8 for PC * Module 05 : Windows 10 - New Developments * Module 06 : Cyber Security Awareness CPD 160 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? Anyone from any background can enrol in this Database Administrator bundle. REQUIREMENTS Our Database Administrator course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. CAREER PATH Having this Database Administrator expertise will increase the value of your CV and open you up to multiple job sectors. CERTIFICATES CERTIFICATE OF COMPLETION Digital certificate - Included CERTIFICATE OF COMPLETION Hard copy certificate - Included P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.

Give a compliment to your career and take it to the next level. This Web Application Penetration Testing & Security will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Web Application Penetration Testing & Security will help you keep ahead of the pack. The Web Application Penetration Testing & Security incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this Web Application Penetration Testing & Security will add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the Web Application Penetration Testing & Security, you can equip yourself with the essentials to keep you afloat into the competition. Along with this Web Application Penetration Testing & Security course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. This Bundle Consists of the following Premium courses: * Course 01: Complete Web Application Penetration Testing & Security * Course 02: Secure Programming of Web Applications * Course 03: GDPR Data Protection Level 5 * Course 04: Front End Web Development Diploma * Course 05: Modern Web Designing - Level 2 * Course 06: WebGL 2D/3D Programming and Graphics Rendering * Course 07: Python for Data Analysis * Course 08: Network Security Level 2 * Course 09: SQL Server for Beginners * Course 10: Functional Skills IT * Course 11: Level 2 Microsoft Office Essentials As one of the top course providers in the UK, we're committed to providing you with the best educational experience possible. Our industry experts have designed the Web Application Penetration Testing & Security to empower you to learn all at once with accuracy. You can take the course at your own pace - anytime, from anywhere. So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this Web Application Penetration Testing & Security: * One payment, but lifetime access to 11 CPD courses * Certificate, student ID for the title course included in a one-time fee * Full tutor support available from Monday to Friday * Free up your time - don't waste time and money travelling for classes * Accessible, informative modules taught by expert instructors * Get 24/7 help or advice from our email and live chat teams * Learn at your ease - anytime, from anywhere * Study the course from your computer, tablet or mobile device * CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. * PDF Certificates: Free (Previously it was £10*11= £110) * Hard Copy Certificates: Free (Previously it was £20*11= £220) Curriculum of the Bundle Course 01: Complete Web Application Penetration Testing & Security * Unit 01: Introduction * Unit 02: BE PREPARED * Unit 03: WEB APPLICATION TECHNOLOGIES * Unit 04: INFORMATION GATHERING - MAPPING THE APPLICATIONS * Unit 05: CROSS-SITE SCRIPTING ATTACKS - XSS * Unit 06: SQL INJECTION ATTACKS - EXPLOITATIONS * Unit 07: CROSS SITE REQUEST FORGERY - XSRF * Unit 08: AUTHENTICATION & AUTHORIZATION ATTACKS * Unit 09: CLIENT SIDE SECURITY TESTING * Unit 10: FILE RELATED VULNERABILITIES * Unit 11: XML EXTERNAL ENTITY ATTACKS - XXE Course 02: Secure Programming of Web Applications * Section 01: Introduction * Section 02: Well-known Vulnerabilities and Secure Programming * Section 03: Conclusion and Summary Course 03: GDPR Data Protection Level 5 * Module 01: GDPR Basics * Module 02: GDPR Explained * Module 03: Lawful Basis for Preparation * Module 04: Rights and Breaches * Module 05: Responsibilities and Obligations Course 04: Front End Web Development Diploma * Welcome to the course! * Web Development Basics - HTML * Advanced HTML Concepts * Introduction to Cascading Style Sheets (CSS) * Advanced CSS * JavaScript for Begeinners * More JavaScript Concepts * Getting Started with jQuery * More jQuery * Bootstrap Basics * Project #2 - Pipboy from Fallout 4 * Project #3 - Google Chrome Extension * BONUS - Coding Another Google Chrome Extension Course 05: Modern Web Designing - Level 2 Module: 01 * 1.1 Intro * 1.2 Install the Tools and Get Started Module: 02 * 2.1 Intro to HTML * 2.2 What is HTML * 2.3 Start a New HTML File & Use Tags * 2.4 Header Tags * 2.5 Edit Text * 2.6 Links * 2.7 Images * 2.8 Lists * 2.9 Challenge 1 * 2.10 HTML Outro Module: 03 * 3.1 CSS Intro * 3.2 Add CSS Styles * 3.3 Classes and IDs * 3.4 Borders * 3.5 Sizing * 3.6 Padding and Margin * 3.7 Text Styles * 3.8 DIVs * 3.9 Postioning * 3.10 Hover * 3.11 Easily Center Elements * 3.12 Fonts * 3.13 Challenge * 3.14 CSS Outro Module: 04 * 4.1 Intro to Bootstrap * 4.2 Install Bootstrap * 4.3 Indenting and Containers * 4.4 The Grid System * 4.5 Images * 4.6 Buttons * 4.7 Challenge 3 * 4.8 Bootstrap Outro Module: 05 * 5.1 Landing Page Intro * 5.2 Sketch Your Landing Page * 5.3 The Top Section * 5.4 Polish the Top Section * 5.5 Adding Images * 5.6 The Main Points Section * 5.7 Collecting Emails With an Opt-In Form * 5.8 Challenge 4 * 5.9 Landing Page Outro Module: 06 * 6.1 Business Site Intro * 6.2 Sketch Up * 6.3 Using Fancy Font Logo * 6.4 Carousel Basics * 6.5 Carousel Extras * 6.6 Text on Images * 6.7 Phone Number Icon * 6.8 Google Maps * 6.9 Font Awesome * 6.10 Challenge 4 * 6.11 Business Site Outro Module: 07 * 7.1 Intro * 7.2 Portfolio Sketch * 7.3 Jumbotron * 7.4 Nav Bar * 7.5 Panels * 7.6 Challenge 5 * 7.7 Portfolio Outre Module: 08 * 8.1 Hosting * 8.2 Bluehost * 8.3 Uploading * 8.4 Tips * 8.5 Hosting Outro Course 06: WebGL 2D/3D Programming and Graphics Rendering * Section 01: Introduction * Section 02: Drawing Objects * Section 03: Colours and Textures * Section 04: Moving & Transforming Objects * Section 05: Movement & Camera * Section 06: Lighting & Shading Course 07: Python for Data Analysis * Welcome, Course Introduction & overview, and Environment set-up * Python Essentials * Python for Data Analysis using NumPy * Python for Data Analysis using Pandas * Python for Data Visualization using matplotlib * Python for Data Visualization using Seaborn * Python for Data Visualization using pandas * Python for interactive & geographical plotting using Plotly and Cufflinks * Capstone Project - Python for Data Analysis & Visualization * Python for Machine Learning (ML) - scikit-learn - Linear Regression Model * Python for Machine Learning - scikit-learn - Logistic Regression Model * Python for Machine Learning - scikit-learn - K Nearest Neighbors * Python for Machine Learning - scikit-learn - Decision Tree and Random Forests * Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) * Python for Machine Learning - scikit-learn - K Means Clustering * Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) * Recommender Systems with Python - (Additional Topic) * Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 08: Network Security Level 2 * Security and Risk Management * Asset Security * Security Engineering * Communication and Network Security * Identity and Access Management * Security Assessment and Testing * Security Operations * Software Development Security Course 09: SQL Server for Beginners * Introduction * Setup * Basic queries * Security * MSSQL an ddifferent drivers * Files * General Course 10: Functional Skills IT * Section 1: Introduction * Section 2: Information Technology * Section 3: Components of IT * Section 4: Hardware * Section 5: Operating System * Section 6: Application/Software * Section 7: Networking * Section 8: Security * Section 9: Traffic Flow & Enterprise Level IT Components * Section 10: Storage * Section 11: Database * Section 12: Virtualisation & Cloud * Section 13: Management & Other IT Jobs Course 11: Level 2 Microsoft Office Essentials Excel 2016 * Getting Started with Microsoft Office Excel 2016 * Performing Calculations * Modifying a Worksheet * Formatting a Worksheet * Printing Workbooks * Managing Workbooks Word 2016 * Getting Started with Word * Formatting Text and Paragraphs * Working More Efficiently * Managing Lists * Adding Tables * Inserting Graphic Objects * Controlling Page Appearance * Preparing to Publish a Document * Workbooks - Microsoft Word 2016 (Beginner) PowerPoint 2016 * PowerPoint Interface * Presentation Basics * Formatting * Inserting Options * Working with Objects * Table * Charts * Review and Presentatin Access 2016 * Introduction to Access * Modify Data * Working with Queries * Access Forms * Working with Reports CPD 135 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? Anyone from any background can enrol in this Web Application Penetration Testing & Security bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. REQUIREMENTS Our Web Application Penetration Testing & Security is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. CAREER PATH Having these various expertise will increase the value in your CV and open you up to multiple job sectors. CERTIFICATES CERTIFICATE OF COMPLETION Digital certificate - Included