This Introduction to Data Science Specialization offered by Coursera in partnership with IBM will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data driven decisions. You’ll find that you can kickstart your career path in the field without prior knowledge of computer science or programming languages: this Specialization will give you the foundation you need for more advanced learning to support your career goals.
You’ll grasp concepts like big data, statistical analysis, and relational databases, and gain familiarity with various open source tools and data science programs used by data scientists, like Jupyter Notebooks, RStudio, GitHub, and SQL. You'll complete hands-on labs and projects to learn the methodology involved in tackling data science problems and apply your newly acquired skills and knowledge to real world data sets.
In addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing you as a specialist in data science foundations.
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- What is Data Science?
- Tools for Data Science
- Data Science Methodology
- Databases and SQL for Data Science with Python
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- 4 months
Start dates & application deadlines
DisciplinesInformatics & Information Technology Computer Sciences Data Science & Big Data View 618 other Short Courses in Computer Sciences 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.
- No prior experience required.
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InternationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 4 months.
NationalFreeTuition FeeBased on the tuition of 0 USD for the full programme during 4 months.
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.