With the proliferation of online courses and tutorials, students can enhance their knowledge for a lucrative career in data science. The course is specially designed for data scientists, business analysts, engineers, and technical managers looking to learn the latest theories and strategies to harness data. Our courses allow you the flexibility to choose a course depending on your current skill level, your career aspirations and the time that you are willing to devote. A course is a course, of course, except when it is a subject. This is a path for those of you who want to complete the Data Science undergraduate curriculum on your own time, for free, with courses from the best universities in the World. The Data Science courses provided by upGrad will make you industry-ready. The UvA's Data Science track in the Information Studies Master's Programme makes it possible to become a … What is more, a lot of these courses are available for free. Computer science is one of the most common subjects that online learners study, and data science is no exception. Platform: DataCamp Description: In this non-technical course, you’ll be introduced to everything you were ever too afraid to ask about this fast-growing and exciting field, without needing to write a single line of code. Courses include: Advance your career. This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. With so many courses available , you can compare and choose the best for your requirement and also use these platforms to connect with people who may have taken the course before. Data Science is a broad field and you need to learn about so many concepts if you are a beginner. A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. Duration: 9 courses, 2 to 8 weeks per course, 2-4 hours per week . Designed for students who’ve completed the MITx MicroMasters in Statistics and Data Science, this degree pathway offers a core curriculum of data science. In addition to the top general data science course picks, I have included a separate section for more specific data science interests, like Deep Learning, SQL, and other relevant topics. In this new two-day course led by experts from the MIT Center for Real Estate, you’ll develop a foundational understanding of data science, explore the machine learning tools currently being applied to real estate development problems, and create a toolkit for explaining your data-driven forecasts to relevant stakeholders. Start learning for free and grow your skills! This course provides an introductory survey of data science tools in healthcare through several hands-on workshops and exercises. Computer Science, Economics, and Data Science. The MIT (Stream C: Big Data Science) degree is multi-disciplinary and spreads across a number of academic faculties and departments. Key Learning Outcomes Through the graduate program in data science you: This certification contains a series of 5 courses that will help students strengthen their foundation of data science, statistics and machine learning. Enroll in this seven-week online course, lead by industry experts and renowned MIT faculty. In the first part we will make sure you can. Deepen your team’s career knowledge and expand their abilities with MIT xPRO’s online courses for professionals. Data Science and Big Data Analytics: Making Data Driven Decisions. Harvard University is offering FREE 14 Online Data Science Courses. Free Data Science Courses for 2020 20. Case studies include: Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems. Professional Certificate In Data Science. The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. In this course, we highlight the importance of a multidisciplinary approach to health data science. You can audit these 17 computer science courses for free. Watch our latest informational webinar . Data scientists are needed to give meaning to the sea of data that surrounds us. HST.953: Collaborative Data Science in Medicine is a guide for students who are interested in performing retrospective research using data from electronic health records (Medical Information Mart for Intensive Care [MIMIC] database and eICU Collaborative Research Database [eICU-CRD]). 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