This app is an excellent choice for beginners to learn Data Analytics through interactive video tutorials and lessons for free.

Also, this app doesn't require any signup process which makes it extremely user-friendly and convenient to use.

★ What you'll learn in this course? ★
1. The course provides the complete preparation you need to become a data analyst
2. Acquire a big picture understanding of the data analyst role
3. Master the fundamentals of statistics for data science & data analytics
4. Master descriptive statistics & probability theory
5. Machine learning methods like Decision Trees and Decision Forests
6. Probability distributions such as Normal distribution, Poisson Distribution and more
7. Learn how to obtain interesting, real-time information from an API with a simple script
8. Understand different data types and their memory usage
9. Logistic Regressions, Multiple Linear Regression, Regression Trees
10. Correlation, R-Square, RMSE, MAE, coefficient of determination and more
11. Free access to our Data Fundamentals Handbook, which compliments the video content in this course in written form
12. The world of data is massive, but that doesn't mean it has to be complicated.
13. Cut through the noise and get a clear vision of the "Big Picture"
14. Learn the distinguishing factors between Data Analytics, Data Science, and Data Engineering
15. Discover data tools – which are the most popular, how they work together, and why some are preferred over others
16. Demystify how data moves from collection to analysis, and what people, processes and technologies are involved
17. Get a step-by-step learning roadmap to becoming a practitioner of Data Analytics, and insight in to career paths that are most relevant
18. Context gives each of us the grounding we need to think about data more meaningfully and know it better.
19. Learn to break down some of data's most prized concepts and terms
20. Understand the fundamentals of statistics w/o memorizing complicated formulas
21. Make better, more accurate data-driven decisions
22. Understand and carry out a regression analysis
23. Make estimates using confidence intervals
24. Plot different types of data using scatter plots and histograms
25. Calculate correlation, standard deviation, and other measures
26. Learn most commonly used SQL statements and SQL concepts for data analytics
27. Learn Teradata Studio and overview of Teradata's main applications
28. Build a Real Life Database with Chess Data and Become proficient with SQL Data Types
29. Build different Database Objects like Volatile and Permanent Tables
30. By the end of this course you'll understand the inner workings of the data analytics pipeline from joining, filtering, extracting data to developing dashboards
31. Develop 5 interactive dashboards and showcase them online to create a great profile of work for your Resume.
32. Connect to different data sources such as Excel, Google Sheets and even servers!
33. Be able to create in depth analyses with bar charts, line charts, donut charts and even geographical maps.
34. Develop a solid understanding of how calculations on Tableau work
35. Be able to understand joining data sources on Tableau and understanding types of joins
36. Understand how Groups and Hierarchies on Tableau Works
37. Learn about Data Analytics, Data Visualization, Hypothesis Testing, Statistics, Forecasting, Excel
38. Learn about Regression, Monte Carlo Simulation, Linear Programming, Pivot Tables, Business Intelligence, Excel Analytics

★ Disclaimer ★
Developer claims no credit for any video embedded in this app unless otherwise noted. Videos embedded in this app are copyright to its respectful owners. If there is an video appearing in this app that belongs to you and you do not want it to appear in this app, please contact us via email and it will be promptly removed.

★ Icon Credit ★
https://www.flaticon.com/free-icons/data-analytics