1. | Introduction to Python [Free Course]More Details
Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with NumPy. | Python | 4 Hours 11 Videos 57 Exercises 4,206,184 Learners |
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2. | Data Science for EveryoneMore Details
An introduction to data science with no coding involved. | Non-Technical Course | 2 Hours 15 Videos 48 Exercises 306,312 Learners |
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3. | Introduction to RMore Details
Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames. | R | 4 Hours 62 Exercises 2,250,870 Learners |
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4. | Introduction to TidyverseMore Details
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R. | R | 4 Hours 16 Videos 50 Exercises 236,931 Learners |
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5. | Supervised Learning with scikit-learnMore Details
Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data. | Python | 4 Hours 17 Videos 54 Exercises 306,120 Learners |
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6. | Python ProgrammingMore Details
In this track, you’ll learn how to code like a real programmer. | Python | Career Track – 24 hours 6 Courses |
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7. | Data Scientist with PythonMore Details
Gain the career-building Python skills you need to succeed as a data scientist. No prior coding experience required. | Python | Career Track – 88 hours 23 Courses 6 Projects |
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8. | Introduction to SQL [Free Course] More Details
Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL. | SQL | 4 Hours 1 Video 41 Exercises 1,367,897 Learners |
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9. | Data Engineering for Everyone [FREE Course] More Details
Discover how data engineers lay the groundwork that makes data science possible. No coding involved! | SQL | 2 Hours 11 Videos 32 Exercises 119,009 Learners |
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10. | Data Analyst with Python More Details
In this track, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. | Python | Career Track – 66 hours 17 Courses |
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11. | Data Analysis in Excel [Free Course] More Details
Learn how to analyze data in Excel. | Excel | 4 Hours 12 Videos 48 Exercises 97,416 Learners |
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12. | Introduction to SQL More Details
Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL. | SQL | 4 Hours 1 Video 41 Exercises 1,367,907 Learners |
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13. | Introduction to Deep Learning in Python More Details
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0. | Python | 4 Hours 17 Videos 50 Exercises 213,821 Learners |
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14. | Unsupervised Learning in Python More Details
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy. | Python | 4 Hours 13 Videos 52 Exercises 101,003 Learners |
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15. | Data Scientist with R More Details
Gain the career-building R skills you need to succeed as a data scientist. No prior coding experience required. In this track, you’ll learn how this versatile language allows you to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. | R | Career Track – 88 hours 22 Courses |
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16. | Statistics Fundamentals with R More Details
Statistics is the study of how best to collect, analyze, and draw conclusions from data. A strong foundation will serve you well, no matter what industry you work in. | R | Career Track – 20 hours 5 Courses |
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17. | Introduction to Data Visualization with Matplotlib More Details
Learn how to create, customize, and share data visualizations using Matplotlib. | Python | 4 Hours 14 Videos 44 Exercises 105,206 Learners |
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18. | Data Visualization with R More Details
Bring your data into focus. Develop the invaluable skills you need to analyze and display data using R—essential when communicating insights and discoveries to non-technical stakeholders. Start this track and learn how to tell better data stories using data visualization. | R | Career Track – 12 hours 3 Courses |
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19. | Data Visualization with Python More Details
Supercharge your data science skills using Python's most popular and robust data visualization libraries. Learn how to use Matplotlib, Seaborn, Bokeh, and others to create beautiful static and interactive visualizations of categorical, aggregated, and geospatial data. | Python | Career Track – 16 hours 4 Courses |
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20. | Introduction to Data Visualization with Seaborn More Details
Learn how to create informative and attractive visualizations in Python using the Seaborn library. | Python | 4 Hours 14 Videos 44 Exercises 65,413 Learners |
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21. | Finance Fundamentals in R More Details
By the end of the track, you'll be ready to navigate the world of finance using R—having learned how to work with investment portfolios, calculate measures of risk, and calculate an optimal portfolio based on risk and return. | R | Career Track – 28 hours 6 Courses |
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22. | Big Data with R More Details
R has great ways to handle working with big data including programming in parallel and interfacing with Spark. In this track, you'll learn how to write scalable and efficient R code and ways to visualize it too. | R | Career Track – 16 hours 4 Courses |
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23. | Text Mining with R More Details
Different approaches to organizing and analyzing data of the text variety (books, articles, documents). A primer into regular expressions and ways to effectively search for common patterns in text is also provided. | R | Career Track – 16 hours 4 Courses |
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24 | Data Science for Business More Details
This course will teach you about the skills you need on your data team, and how you can structure that team to meet your organization's needs. Data is everywhere! This course will provide you with an understanding of data sources your company can use and how to store that data. You'll also discover ways to analyze and visualize your data through dashboards and A/B tests. | | 2 Hours 14 Videos 51 Exercises 66,645 Learners |
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25 | Introduction to Tableau More Details
Get started with Tableau, a widely used business intelligence (BI) and analytics software to explore, visualize, and securely share data. | Tableau | 6 Hours 24 Videos 60 Exercises 124,960 Learners |
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26 | Introduction to Power BI More Details
Gain a 360° overview of how to explore and use Power BI to build impactful reports. | Power Bi | 3 Hours 13 Videos 39 Exercises 141,531 Learners |
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