65 Courses

In this course, you will learn Python fundamentals, and the concepts of the amazing pandas data science library needed to pre-process and prepare the data for machine learning algorithms.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create a data-driven application. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.   Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. SELECTING AN OBJECT-ORIENTED PROGRAMMING APPROACH FOR PYTHON APPLICATIONS * Topic A: Implement Object-Oriented Design * Topic B: Leverage the Benefits of Object-Oriented Programming * CREATING OBJECT-ORIENTED PYTHON APPLICATIONS * Topic A: Create a Class * Topic B: Use Built-in Methods * Topic C: Implement the Factory Design Pattern * CREATING A DESKTOP APPLICATION * Topic A: Design a Graphical User Interface (GUI) * Topic B: Create Interactive Applications * CREATING DATA-DRIVEN APPLICATIONS * Topic A: Connect to Data * Topic B: Store, Update, and Delete Data in a Database * CREATING AND SECURING A WEB SERVICE-CONNECTED APP * Topic A: Select a Network Application Protocol * Topic B: Create a RESTful Web Service * Topic C: Create a Web Service Client * Topic D: Secure Connected Applications * PROGRAMMING PYTHON FOR DATA SCIENCE * Topic A: Clean Data with Python * Topic B: Visualize Data with Python * Topic C: Perform Linear Regression with Machine Learning * IMPLEMENTING UNIT TESTING AND EXCEPTION HANDLING * Topic A: Handle Exceptions * Topic B: Write a Unit Test * Topic C: Execute a Unit Test * PACKAGING AN APPLICATION FOR DISTRIBUTION * Topic A: Create and Install a Package * Topic B: Generate Alternative Distribution Files * ADDITIONAL COURSE DETAILS: Nexus Humans Advanced Programming Techniques with Python training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Advanced Programming Techniques with Python course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

In this course, you will be learning one of the widely used deep learning frameworks, that is, PyTorch, and learn the basics of convolutional neural networks in PyTorch. We will also cover the basics of Python and understand how to implement different Python libraries.

Dive into Python, Pandas, and NumPy, mastering data manipulation and visualisation for a thriving data science career.

Python is a powerful and versatile programming language that's widely used in the world of data science and machine learning. In this Python for Beginners course, you will learn the fundamentals of Python programming, including data types, data structures, control flow, and more. By the end of the course, you will have a solid foundation in Python that will enable you to tackle more complex projects in the future. Learning outcomes: * Understand the basic concepts of programming using Python * Know how to install and set up a Python development environment * Learn about data types and operators in Python * Understand the various data structures available in Python * Learn how to use control flow constructs in Python to make decisions and repeat actions * Gain the ability to write simple Python programs from scratch Python for Beginners Part 1 is a comprehensive course designed for anyone who wants to learn the basics of Python programming. The course is structured into five modules, each focusing on a specific area of Python programming. You will start by learning about the basics of programming and setting up a Python development environment. From there, you will move on to topics such as data types, data structures, and control flow. Throughout the course, you will have access to interactive exercises and quizzes that will help you reinforce your learning. By the end of the course, you will have a solid understanding of Python programming and the ability to write your own simple programs. If you're new to programming or just starting out with Python, this course is the perfect place to begin. With clear, concise explanations and plenty of examples, you'll be up and running with Python in no time. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? * Individuals who are new to programming * Professionals who want to learn Python for data science or machine learning * Students who want to gain a fundamental understanding of Python programming * Anyone who wants to add a valuable skill to their resume CAREER PATH * Python Developer: £30,000 - £75,000 per year * Data Analyst: £24,000 - £46,000 per year * Machine Learning Engineer: £35,000 - £85,000 per year * Software Engineer: £24,000 - £70,000 per year * Full Stack Developer: £28,000 - £70,000 per year * Artificial Intelligence Developer: £35,000 - £85,000 per year

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! Embark on a journey to unravel the mysteries of Hydrology with the "ArcGIS for Hydrology" bundle! Whether you're an environmentalist, geologist, or simply curious about the world around you, this bundle has something for everyone. With 11 comprehensive courses, you can explore the depths of hydrology, spatial analysis, data visualisation, and more. The first course in the bundle is QLS-endorsed, ensuring that you receive a hardcopy certificate upon completion - a testament to your commitment to learning and expanding your knowledge base. But that's just the beginning. The remaining 10 courses are CPD-QS accredited, which means you can be sure that you're gaining valuable insights and knowledge from the best in the industry. Through the bundle, you'll learn about a range of tools, techniques, and methodologies that will enhance your understanding of hydrology and enable you to create impactful solutions. From spatial data visualisation and machine learning to web scraping and mapping dam levels, the bundle covers everything you need to know to be successful. So, whether you're a seasoned professional or a curious beginner, join the ArcGIS for Hydrology bundle and immerse yourself in a world of knowledge and discovery. Let the courses take you on an enriching journey, expanding your mind and providing you with the skills and insights necessary to make a positive impact in the world of Hydrology. Enrol right now! This ArcGIS for Hydrology Bundle Package includes: * Course 01: Diploma in ArcGIS for Hydrology at QLS Level 4 10 Premium Additional CPD QS Accredited Courses - * Course 01: QGIS Cartography * Course 02: Spatial Analysis in ArcGIS * Course 03: Remote Sensing in ArcGIS * Course 04: Python Data Science * Course 05: Business Intelligence and Data Mining Diploma * Course 06: Spatial Data Visualization and Machine Learning in Python Level 4 * Course 07: Create Smart Maps in Python and Leaflet Level 3 * Course 08: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 * Course 09: Maps in R Shiny and Leaflet * Course 10: The Basics of ArcGIS for Hydrology Why Prefer This ArcGIS for Hydrology Bundle? * You will receive a completely free certificate from the Quality Licence Scheme * Option to purchase 10 additional certificates accredited by CPD * Get a free Student ID Card - (£10 postal charges will be applicable for international delivery) * Free assessments and immediate success results * 24/7 Tutor Support After taking this ArcGIS for Hydrology bundle courses, you will be able to learn: * Develop a deep understanding of hydrology and its applications * Master the use of ArcGIS and QGIS for cartography and spatial analysis * Learn how to use Python for data science, machine learning, and web scraping * Enhance your data visualisation skills in ArcGIS and Python * Gain expertise in creating smart maps and web applications using Leaflet and R Shiny * Understand the basics of hydrology in ArcGIS for beginners * Earn QLS-endorsed and CPD-QS accredited certificates to showcase your skills and knowledge. ***Curriculum breakdown of ArcGIS for Hydrology*** Section 01: Introduction to ArcGIS software * Introduction to GIS * Introduction to ArcGIS software * Selection by Location, attributes, clip features and tables to Excel * Performing actions on the data: change the projections, dissolve, clip * From .TXT and .DXF to shapefile * Calculations with attribute table and KML files in ArcMap * Export from ArcMap to PDF * ArcScene 3D * GIS Example Test * AutoCAD fixing polygon coordinates Section 02: ArcGIS for Hydrology * Download hydrological data * Calculate flow direction and flow accumulation * Watershed delineation * Clip layers to watershed boundary * Stream segments and catchments areas * Stream order convert to vector * Spatial join to catchments * Join stream id to stream order * Map data and initial layout * Add and format map elements How is the ArcGIS for HydrologyBundle Assessment Process? You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams. CPD 220 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? This bundle is perfect for: * Environmentalists, geologists, hydrologists, and scientists * GIS professionals, software engineers, and developers * Students and researchers in the fields of hydrology and environmental sciences * Anyone interested in learning about hydrology and its practical applications. CAREER PATH Here are a few options that people explore in this industry: * GIS Analyst: £22,000 - £36,000 per year * Hydrologist: £25,000 - £45,000 per year * Environmental Scientist: £24,000 - £40,000 per year * Data Scientist: £35,000 - £75,000 per year * Web Developer: £24,000 - £50,000 per year * Machine Learning Engineer: £45,000 - £85,000 per year CERTIFICATES CPD QS ACCREDITED CERTIFICATE Digital certificate - Included Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally. CPD QS ACCREDITED CERTIFICATE Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. DIPLOMA IN ARCGIS FOR HYDROLOGY AT QLS LEVEL 4 Hard copy certificate - Included

Whether you're a beginner looking to start your coding journey or an experienced developer aiming to dive into data science and machine learning, this comprehensive course has you covered. In this Python bundle, you'll embark on a transformative learning journey through 11 carefully curated courses. First, you'll lay the foundation with "Python Programming: Python Coding Essential Training," where you'll grasp the fundamentals of Python coding. Then, you'll advance into the world of data with the "Data Structures Complete Course," equipping you with the skills to manipulate and manage data efficiently. But that's just the beginning. With courses spanning data science, machine learning, cloud computing, SQL programming, business intelligence, and critical thinking, this bundle is your passport to a versatile skill set that's in high demand. By enrolling in this course, you're investing in a brighter future, gaining the knowledge and expertise that will open doors to exciting career opportunities and enable you to tackle real-world challenges. Don't miss out on this chance to become a Python powerhouse and shape your professional destiny. This Python Powerhouse: Python Bundle Course for All Levels Bundle Consists of the following Premium courses: * Course 01: Python Programming: Python Coding Essential Training * Course 02: Data Structures Complete Course * Course 03: Data Science with Python * Course 04: Data Science & Machine Learning with Python * Course 05: Python for Data Analysis * Course 06: Cloud Computing / CompTIA Cloud+ (CV0-002) * Course 07: SQL Programming Complete Bundle * Course 08: Higher Order Functions in Python - Level 03 * Course 09: Basic Google Data Studio * Course 10: Business Intelligence and Data Mining Masterclass * Course 11: Decision Making and Critical Thinking Learning Outcomes Upon completion of this bundle, you should be able to: * Develop a solid foundation in Python programming, enabling them to apply coding skills efficiently. * Acquire a deep understanding of data structures and their applications in healthcare data management. * Master the use of Python for data science, allowing them to analyse healthcare data and extract valuable insights. * Explain SQL programming, which is crucial for handling healthcare databases and managing patient information securely. * Explore higher-order functions in Python, enhancing their problem-solving skills and programming capabilities. * Develop basic proficiency in Google Data Studio, a valuable tool for visualising healthcare data. * Master business intelligence and data mining techniques are specific to the healthcare industry. "Python Powerhouse: Python Bundle Course for All Levels" is your gateway to mastering Python and unleashing its potential across various domains. This comprehensive course comprises 11 meticulously designed modules, each geared towards equipping learners with essential skills and knowledge. Starting with "Python Programming: Python Coding Essential Training," you'll build a strong foundation in Python, a programming language known for its versatility and widespread use. As you progress through the "Data Structures Complete Course," you'll delve into the world of efficient data manipulation, a fundamental skill applicable in numerous professional settings. One of the highlights of this bundle is "Data Science with Python," which empowers learners to harness Python's capabilities for data analysis. In "Data Science & Machine Learning with Python," you'll take the next step, exploring advanced techniques that are vital in today's data-driven world. Furthermore, "Python for Data Analysis" enhances your proficiency in making data-driven decisions. Beyond data, you'll gain expertise in cloud computing, SQL programming, higher-order functions in Python, Google Data Studio, business intelligence, and critical thinking - all essential skills that can open doors to a multitude of career opportunities. This course is your passport to a fulfilling career by providing a comprehensive toolkit to excel in various domains and industries. Don't miss the chance to become a Python powerhouse and shape your professional destiny. CPD 110 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? This course is tailored for: * Data Enthusiasts * Intermediate Python Developers * Data Visualisation Enthusiasts * Aspiring Business Analysts * Anyone interested in Python REQUIREMENTS No requirements to enrol this Python Powerhouse: Python Bundle Course for All Levels course. CAREER PATH Upon completion, various career opportunities include: * Software Developer (Average salary range of £35,000 to £70,000) * Data Analyst (Average salary range of £25,000 and £60,000.) * Machine Learning Engineer (Average salary range of £45,000 to £80,000) * Web Developer (Average salary range of £30,000 to £65,000) * Research Scientist (Average salary range of £40,000 to £75,000) CERTIFICATES CPDQS ACCREDITED E-CERTIFICATE Digital certificate - Included CPDQS ACCREDITED HARD-COPY CERTIFICATE Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Python Programming: Python Coding Essential Training) 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.

Uncover the secrets hidden within your data. In today's data-driven world, the ability to extract insights and build intelligent systems is a valuable asset. This comprehensive Diploma in Data Science Bundle equips you with the programming languages, statistical knowledge, and machine learning techniques needed to thrive in this exciting field. What can you expect from this Bundle? * Master the fundamentals: Build a strong foundation in programming languages like Python and R, essential tools for data manipulation and analysis. * Dive into Machine Learning: Explore various machine learning algorithms and techniques for predictive modelling, pattern recognition, and data-driven decision making. * Embrace Big Data: Learn how to handle and analyse massive datasets using tools like PySpark and Hadoop. * Become a data-driven professional: Develop the skills and knowledge to solve real-world problems and unlock the power of your data. Enrol now and become a data-driven problem solver and propel your career to new heights! Course List * R Programming for Data Science: * Master the fundamentals of R programming, a powerful language for data analysis and visualisation. * Learn how to import, clean, and manipulate data using R. * Data Science & Machine Learning with Python: * Gain proficiency in Python, a versatile language widely used in data science applications. * Explore core machine learning concepts and build basic prediction models using Python libraries. * Python Data Science: * Deepen your understanding of Python for data science, including data structures, libraries like NumPy and Pandas, and data wrangling techniques. * Learn how to implement data visualisation tools like Matplotlib and Seaborn to create compelling data stories. * SQL for Data Science, Data Analytics and Data Visualisation: * Master SQL, a crucial language for querying and retrieving data from relational databases. * Learn how to integrate SQL with other data science tools for efficient analysis. * Quick Data Science Approach from Scratch: * Gain a foundational understanding of the data science workflow, from data acquisition to model deployment. * Learn how to approach data science problems in a structured and efficient manner. * Computer Science With Python: * Build a solid foundation in computer science principles, including algorithms, data structures, and problem-solving techniques. * Learn how to apply these concepts to solve data science challenges using Python. * Big Data Analytics with PySpark Power BI and MongoDB: * Explore big data technologies like PySpark for distributed data processing and MongoDB for handling NoSQL databases. * Learn how to integrate these tools with Power BI for effective data visualisation and business intelligence. * SQL NoSQL Big Data and Hadoop: * Gain a comprehensive understanding of different database types, including SQL, NoSQL, and Big Data frameworks like Hadoop. * Learn how to choose the appropriate database technology for different data science projects. * Machine Learning Basics: * Demystify core machine learning concepts like supervised and unsupervised learning algorithms. * Learn how to evaluate and interpret the performance of machine learning models. * Machine Learning for Aspiring Data Scientists: Zero to Hero: * Progress from beginner to intermediate in machine learning, building more complex models and exploring advanced techniques. * Learn how to apply machine learning to solve real-world data science problems. * Business Intelligence and Data Mining: * Discover best practices for extracting valuable insights from data for business decision making. * Learn data mining techniques to uncover hidden patterns and trends in large datasets. * Deep Learning & Neural Networks Python - Keras: * Delve into the world of deep learning and artificial neural networks, a powerful technique for complex data analysis. * Learn how to implement deep learning models using popular libraries like Keras in Python. * Project on Deep Learning - Artificial Neural Network: * Apply your deep learning knowledge to solve a practical data science problem through a hands-on project. * Gain experience in building and deploying deep learning models. * Essential Training on Deep Learning Heuristic using R: * Explore deep learning concepts and implement algorithms using the R programming language. * Learn how to leverage R's capabilities for specific deep learning tasks. * Statistics & Probability for Data Science & Machine Learning: * Develop a strong foundation in statistical concepts essential for data analysis and machine learning models. * Learn how to interpret data, conduct hypothesis testing, and assess the reliability of your results. CPD 40 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? * Individuals with a passion for data and an interest in extracting insights. * Professionals seeking to upskill or transition into a data science career. * Anyone who wants to unlock the power of data for better decision-making. REQUIREMENTS This bundle has minimal entry requirements, requiring only access to a computer or mobile device with internet connectivity, basic computer literacy, proficiency in the English language, and a genuine eagerness to learn. We welcome learners from all backgrounds to join us in exploring new subjects and expanding their knowledge. CAREER PATH * Data Scientist * Machine Learning Engineer * Data Analyst * Business Intelligence Specialist * Data Visualisation Specialist CERTIFICATES DIGITAL CERTIFICATE Digital certificate - £9 HARD COPY CERTIFICATE Hard copy certificate - £15 A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.

Start your data science journey with this carefully constructed comprehensive course and get hands-on experience with Python for data science. Gain in-depth knowledge about core Python and essential mathematical concepts in linear algebra, probability, and statistics. Complete data science training with 13+ hours of content.