By now you have definitely heard about data science and big data. In this one-week A Crash Course in Data Science course offered by Coursera in partnership with Johns Hopkins University, we will provide a crash course in what these terms mean and how they play a role in successful organizations. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.
This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.
After completing this course you will know:
- How to describe the role data science plays in various contexts
- How statistics, machine learning, and software engineering play a role in data science
- How to describe the structure of a data science project
- Know the key terms and tools used by data scientists
- How to identify a successful and an unsuccessful data science project
- The role of a data science manager
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- A Crash Course in Data Science
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- 7 days
Start dates & application deadlines
DisciplinesInformatics & Information Technology Software Engineering Machine Learning View 295 other Short Courses in Machine Learning in United States
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We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
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InternationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 7 days.
NationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 7 days.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.