CBTNuggets - Python Foundations for Data Analysis

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[ TutGator.com ] CBTNuggets - Python Foundations for Data Analysis
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    • 1. Python Development Environments.mp4 (47.3 MB)
    • 10. Strings and Keywords.mp4 (48.0 MB)
    • 11. Collections.mp4 (71.3 MB)
    • 12. Code Challenge.mp4 (87.4 MB)
    • 13. Introduction to Python Numbers.mp4 (59.7 MB)
    • 14. Variables.mp4 (92.8 MB)
    • 15. Math Operators.mp4 (104.2 MB)
    • 16. Math with Python.mp4 (107.2 MB)
    • 17. Boolean Values.mp4 (65.3 MB)
    • 18. Code Challenge.mp4 (59.9 MB)
    • 19. Introduction to Strings.mp4 (41.9 MB)
    • 2. Code Editors and IDEs vs. Interactive Notebooks.mp4 (82.5 MB)
    • 20. Working with Strings.mp4 (41.9 MB)
    • 21. Indexing and Slicing Strings.mp4 (103.5 MB)
    • 22. String Methods.mp4 (112.6 MB)
    • 23. Strings Code Challenge.mp4 (69.6 MB)
    • 24. Introduction to Python Functions.mp4 (34.8 MB)
    • 25. Python Operators.mp4 (121.5 MB)
    • 26. Functions and If Statements.mp4 (126.9 MB)
    • 27. Python Scope.mp4 (104.4 MB)
    • 28. Functions Code Challenge.mp4 (83.2 MB)
    • 28. Pseudocode.mp4 (89.5 MB)
    • 3. Installing Google Colab.mp4 (132.3 MB)
    • 30. Introduction to Python Loops.mp4 (64.0 MB)
    • 31. If, elif, and else.mp4 (99.3 MB)
    • 32. For Loops.mp4 (102.5 MB)
    • 33. While Loops.mp4 (112.8 MB)
    • 34. Code Challenge.mp4 (171.5 MB)
    • 35. Introduction to Python Collections.mp4 (43.1 MB)
    • 36. Lists.mp4 (148.5 MB)
    • 37. List Methods.mp4 (163.1 MB)
    • 38. Dictionaries.mp4 (76.9 MB)
    • 39. Dictionary Methods.mp4 (94.2 MB)
    • 4. Installing Jupyter notebook with Anaconda.mp4 (75.4 MB)
    • 40. Code Challenge.mp4 (101.3 MB)
    • 41. Data Analysis Preview with pandas.mp4 (158.5 MB)
    • 5. Managing Projects Environments with Conda.mp4 (49.6 MB)
    • 6. Running Anaconda with Docker.mp4 (64.2 MB)
    • 7. Introduction to Python Data Types.mp4 (65.2 MB)
    • 8. Data Types.mp4 (80.5 MB)
    • 9. Numbers and Bools.mp4 (40.7 MB)
    • Bonus Resources.txt (0.4 KB)

Description

CBTNuggets - Python Foundations for Data Analysis



https://TutGator.com

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 41 Lessons (5h 58m) | Size: 3.6 GB

This entry-level Python for Data Analysts training prepares learners to master what is easily the best programming language in the world for data analysis: Python and its data analysis libraries.

Good data analysis makes sense of the past, guides present action and can even predict the future – Python puts all that possibility within reach. And doing data analysis with Python almost always requires a good foundation in Python and comfort in its libraries like Pandas, NumPy and even IPython.

Python is the world's leading programming language for data analysis for a reason: it's versatile, powerful, intuitive, relatively easy, and the open source language has libraries and add-ons that are kept up-to-date by programmers and analysts all over the world. You can learn it and master it for data analysis with this course.



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3.5 GB
seeders:9
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CBTNuggets - Python Foundations for Data Analysis


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