In addition to having an intuitive knowledge of what you’re doing, an essential component of an online data science education is gaining substantial experience applying data science to real-world problems. Here is a list of the best data science courses.
Professional Certificate in Data Science from Harvard University (edX)
This Online Data Science Certificate Program from Harvard University is brought to you through the innovative edX learning platform. Learning the fundamentals of data science, such as R programming, machine learning, and more, and applying what you learn to real-world case studies will put you ahead of the competition.
Between two and four months, you can complete this self-paced curriculum at your leisure. Nine graduate-level courses taught by Rafael Irizarry, a Harvard professor of biostatistics, are offered online at a quarter of the cost of traditional college, making this program unusually accessible, reasonable, and flexible. The nine courses that make up this data science curriculum are as follows: an introduction to R course, a data visualization course, a probability course, an inference and modeling course, a productivity tools course, a wrangling course, a linear regression course, a machine learning course, and a capstone project course.
Data Science Specialization from Johns Hopkins University (Coursera)
Coursera’s Data Science Specialization, taught by experts at Johns Hopkins University, covers the entire data science process in ten lessons. The ultimate goal of the course is to provide students with the skills they’ll need to formulate insightful research questions, effectively manage data, draw insightful conclusions, and effectively communicate those results through visual representations.
Eleven courses are necessary for this certification, followed by a capstone project. This course covers R programming, data gathering and cleaning, exploratory data analysis methods for summarizing data, reproducible research, statistical inference, regression models, machine learning, and data product development. Markdown, Git, GitHub, and RStudio are some of the additional tools discussed.
IBM Data Science Professional Certificate (Coursera)
Coursera hosts IBM’s Data Science Certification Program, an online education program designed to prepare students for data science careers. You’ll get a hands-on education in data science and machine learning principles.
This top-tier data science program consists of 9 courses that cover a wide variety of data science topics, from the fundamentals to open source tools and libraries, data science methodology, Python programming, a firm grasp of databases and SQL, data analysis, and visualization with Python, the basics of machine learning, and finally a capstone project in which you put everything you’ve learned to use in a real-world setting.
MicroMasters Program in Statistics and Data Science from MIT (edX)
Independent data science and statistics certification from edX and MIT’s Institute for Data, Systems, and Society (IDSS). This Micromasters-level program aims to give students a firm grasp of the building blocks of data science, statistics, and machine learning.
It’s one of the top data science programs available. It only requires you to sit in front of your computer and attend four intensive courses and an exam in a virtual proctoring environment from anywhere in the world. Classes at the graduate level include Probability, Data Analysis in Social Science, Fundamentals of Statistics, Machine Learning with Python, and a Capstone Exam in Data Science and Statistics.
Conclusion
If you want to advance your career in data science, being certified is a significant first step. Courses in data science can give you a leg up in your career or help you move up in your current role by teaching you in-demand skills.
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