Top 6 Online Data Science Courses to Watch Out in 2021

Data Science has become a requirement for businesses as a result of the vast amount of data being produced

Data Science, an evolving technology, has been the most talked-about term in the technology and information industry in recent years. One of the most common career options for IT professionals is data science.

Currently, an increasing number of businesses, ranging from small businesses to large corporations, recognize the value of data science and are incorporating its abilities to effectively expand their operations to unprecedented level.

What are the Benefits of Learning Data Science?

Data Science has become a requirement for businesses as a result of the vast amount of data being produced and the advancements in the field of analytics. Companies from all industries, including finance, marketing, retail, information technology, and banking are working to make the most of their data. Each of them is on the lookout for Data Scientists. As a result, Data Scientists are in high demand all over the world. It is a lucrative career for many because of the kind of compensation that a corporation can provide and IBM has announced that it is the hottest job of the twenty-first century. Anyone from any field can pursue a career as a Data Scientist in this area.

Thus, here are top 6 online data science courses to watch out in2021:

Harvard University's Data Science Course

All of Harvard's data science course materials and lessons are made freely accessible online, allowing you to study at your own speed. The course is part of a data science degree programme and is designed for learners who have previous knowledge of or are learning key fields like programming, mathematics, and statistics. Even so, if you are ambitious enough, there are enough free tools on those subjects to make this a valid option for those outside of academia.

Data Science – MicroMasters Program

The MicroMasters Program in Data Science at UC San Diego combines the mathematical and practical aspects of data science education. It's intended to provide a thorough understanding of the mathematical and analytical methods that underpin data science, and also how to apply them to make data-driven business recommendations. It consists of four graduate-level courses and should take around ten months to finish, according to the school.

Rakesh Gopalakrishnan's Introduction to Data Science Using Python (Udemy)

This is one of Udemy's most popular introductory courses on the subjects of data science and Python coding. It does not need any prior experience or knowledge since it begins at the very basic level. Unlike some other very basic courses, however, it progresses to some real realistic instruction in Python and, in general, its Sci-Kit Learn platform, a widely used method for academic and enterprise-level data exploration and mining.

Microsoft's Data Science Professional Program (edX)

Microsoft created the Microsoft Professional Program in Data Science in cooperation with top universities and employers, and it is available on the edX online learning platform. This curriculum will teach you the basics of data science, as well as main methods and programming languages, from industry professionals.

Statistics and Data Science – MicroMasters Program

In four graduate-level courses and a practically proctored exam, MIT's MicroMasters reflects on the basics of data science, statistics, and machine learning. Students will be prepared for positions such as Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, and Data Engineer after finishing the course. The school estimates that it will take one year and three months to conclude.

Professional Certificate in IBM Data Science (Coursera)

This IBM Data Science Certification Program, which is provided via Coursera, is intended to help students and practitioners prepare for careers in data science. With extensive hands-on and practical learning, you can master data science and machine learning principles.