Machine Learning A-Z™: Hands-On Python & R In Data Science
- Learn to create Machine Learning Algorithms in Python and R. This course is packed with practical exercises which are based on live examples. You’ll learn the theory and you’ll get some hands-on practice building your own models. Includes Python and R code templates to use on your own projects.
Data Science A-Z™: Real-Life Data Science Exercises Included
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more. This course will give you a full overview of the Data Science journey. You’ll develop a good understanding of SQL, SSIS, Tableau, and Gretl.Python for Data Science and Machine Learning Bootcamp
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more. This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms.Neural Networks and Deep Learning
When you finish this class, you’ll understand the major technology trends driving Deep Learning. Be able to build, train and apply fully connected deep neural networks. Know how to implement efficient neural networks. And understand the key parameters in a neural network’s architecture.Machine Learning
In this class, you’ll learn about the most effective machine learning techniques, and gain practice implementing them. You’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to apply these techniques to new problems.Deep Learning A-Z™: Hands-On Artificial Neural Networks
Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts. This training program is filled with intuition tutorials, practical exercises and real-world case studies.The Data Scientist’s Toolbox
There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.The Web Developer Bootcamp
When learning to program you often have to sacrifice learning exciting and current technologies in favor of the “beginner friendly” classes. In this course, you get the best of both worlds. It’s designed for the beginner, yet covers some of the most exciting topics in the industry. Learn HTML, CSS, JS, Node, and more.The Complete Web Developer Course 2.0
You’ll get access to 12 chapters that dig deep into the nitty gritty of building successful websites. Each chapter is supported with over 40 hours of video tutorials and practical website challenges. Learn to build 25 websites and real mobile apps using HTML, CSS, Javascript, PHP, Python, MySQL and more.SQL for Newbs: Data Analysis for Beginners
If you have no technical background, don’t be afraid. This courses teaches you real-world SQL — not just the theory in abstract, but real skills you can use to get more data-driven in your current job. You’ll have the raw skills to do some real data analysis for your company using SQL.The Complete SQL Bootcamp
In this course, you’ll learn how to read and write complex queries to a database using one of the most in demand skills — PostgreSQL. These skills are also applicable to any other major SQL database , such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and much more.R Programming A-Z™: R For Data Science With Real Exercises
Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2. This training is packed with real-life analytical challenges which you will learn to solve. This course has been designed for all skill levels, no programming or statistical background needed.Tableau 10 A-Z: Hands-On Tableau Training For Data Science
This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease. You’ll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.
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