Best Free & Paid Online Course Of Data Science, Machine Learning & AI Course [ Updated March 2021]

In this course, you'll work on an industry-level machine learning project based on predicting weekly retail sales given different factors. You will learn the most efficient techniques used to train and evaluate scalable machine learning models. After completing this course, you will be able to take on industry-level machine learning projects, from data analysis to creating efficient models and providing results and insights.

How to get into data science and apply your skills in real-life business cases How the mathematics and statistics behind machine learning work How to pre-process data and carry out cluster and factor analysis How to improve machine learning algorithms and unfold the power of deep neural networks

In this course, we will learn a working process of Machine Learning by watching helpful tutorials. With every tutorial, you will develop new skills and improve your understanding of this exciting sub field of Artificial Intelligence.

This Data Science & Engineering E-Degree will give you insights into all the essential concepts along with trending tools & technologies revolving around data science

Data Science Masters Program makes you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.

you will know how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python!

Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts—for even more hands-on experience with Python. In this course, instructor Lillian Pierson takes you step by step through a practical data science project: a web scraper that downloads and analyzes data from the web. Along the way, she introduces techniques to clean, reformat, transform, and describe raw data; generate visualizations; remove outliers; perform simple data analysis; and generate interactive graphs using the Plotly library.

This course takes you one step closer to becoming a data scientist by offering a subset of the topics covered in our Data Science and Analytics Bootcamps. You'll get a well-rounded intro to the core concepts and technologies taught within the bootcamp, including basic machine learning principles and hands-on coding experience. Plus, you'll put it all to practice through a mini data science project of your own.