Here’s my overview of some of the best Data Science and Machine Learning courses. Some of these might require payment at the end of the course if you want official certification or accreditation of completing the course, but the learning material is freely available to anyone who wants to level up their knowledge and skills.
The Big Data Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this Big Data MicroMasters program to a medium-scale data science project.
Course Level: Advanced
Course Fee: Free
Machine Learning is the basis for the most exciting careers in data analysis today. You’ll learn the models and methods and apply them to real-world situations ranging from identifying trending news topics to building recommendation engines, ranking sports teams and plotting the path of movie zombies.
Course Level: Advanced
Course Fee: Free
Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python.
Course Level: Introductory
Course Fee: Free
Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behaviour, compliance, or risk.
Course Level: Advanced
Course Fee: Free
As part of our Professional Certificate Program in Data Science, this course covers the basics of data visualization and exploratory data analysis. We will use three motivating examples and ggplot2, a data visualization package for the statistical programming language R. We will start with simple datasets and then graduate to case studies about world health, economics, and infectious disease trends in the United States.
Course Level: Introductory
Course Fee: Free
Do you want to build systems that learn from the experience? Or exploit data to create simple predictive models of the world?
In this Data Science MicroMasters program, you will learn a variety of supervised and unsupervised learning algorithms and the theory behind those algorithms.
Course Level: Advanced
Course Fee: Free
In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?
Course Level: Advanced
Course Fee: Free
Want to learn how to analyze the huge amounts of data? In this course, you will learn modern methods of machine learning to help you choose the right methods to analyze your data and interpret the results correctly.
Course Level: Introductory
Course Fee: Free
We live in an era of unprecedented access to data. Understanding how to organize and leverage the vast amounts of information at our disposal are critical skills that allow us to infer upon the world and make informed decisions. This course will introduce you to such skills.
Course Level: Introductory
Course Fee: Free
Karthik KS works as a Senior Digital Marketing Executive and Technical Content Writer for Skill At Will. He enjoys writing about different technologies and career trends. He is an expert in Search Engine Optimization, Social Media Marketing, Google Ads, Google Analytics and Google Tag Manager. He has done Masters in Marketing and PG diploma in Digital Marketing.
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