Udemy - Python A-Z™: Python For Data Science With Real Exercises!

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.1 GB
  • Uploaded ByFclab
  • Downloads482
  • Last checkedMay. 08th '19
  • Date uploadedMay. 07th '19
  • Seeders 23
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Udemy - Python A-Z™: Python For Data Science With Real Exercises!

Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization

For more Udemy Courses: https://freecourselab.com

Files:

[FreeCourseLab.com] Udemy - Python A-Z™ Python For Data Science With Real Exercises! 1. Welcome To The Course
  • 1. Installing Python (Windows & MAC).mp4 (24.8 MB)
  • 1. Installing Python (Windows & MAC).vtt (12.8 KB)
  • 2. Some Additional Resources!!.html (0.6 KB)
2. Core Programming Principles
  • 1. Updates on Udemy Reviews.mp4 (43.4 MB)
  • 1. Updates on Udemy Reviews.vtt (3.1 KB)
  • 10. HOMEWORK Law of Large Numbers.mp4 (24.1 MB)
  • 10. HOMEWORK Law of Large Numbers.vtt (19.2 KB)
  • 11. Core Programming Principles.html (0.1 KB)
  • 2. Types of variables.mp4 (21.1 MB)
  • 2. Types of variables.vtt (13.5 KB)
  • 3. Using Variables.mp4 (23.0 MB)
  • 3. Using Variables.vtt (12.8 KB)
  • 4. Boolean Variables and Operators.mp4 (13.4 MB)
  • 4. Boolean Variables and Operators.vtt (8.4 KB)
  • 5. The While Loop.mp4 (19.3 MB)
  • 5. The While Loop.vtt (15.4 KB)
  • 6. The For Loop.mp4 (20.6 MB)
  • 6. The For Loop.vtt (11.0 KB)
  • 7. The If statement.mp4 (28.5 MB)
  • 7. The If statement.vtt (18.6 KB)
  • 8. Code indentation in Python.mp4 (7.0 MB)
  • 8. Code indentation in Python.vtt (3.6 KB)
  • 9. Section recap.mp4 (5.5 MB)
  • 9. Section recap.vtt (4.1 KB)
3. Fundamentals Of Python
  • 1. What is a List.mp4 (5.3 MB)
  • 1. What is a List.vtt (4.5 KB)
  • 10. Section Recap.mp4 (5.9 MB)
  • 10. Section Recap.vtt (4.2 KB)
  • 11. HOMEWORK Financial Statement Analysis.mp4 (22.4 MB)
  • 11. HOMEWORK Financial Statement Analysis.vtt (8.6 KB)
  • 12. Fundamentals of Python.html (0.1 KB)
  • 2. Let's create some lists.mp4 (21.6 MB)
  • 2. Let's create some lists.vtt (12.0 KB)
  • 3. Using the [] brackets.mp4 (14.0 MB)
  • 3. Using the [] brackets.vtt (9.5 KB)
  • 4. Slicing.mp4 (19.3 MB)
  • 4. Slicing.vtt (13.6 KB)
  • 5. Tuples in Python.mp4 (16.8 MB)
  • 5. Tuples in Python.vtt (9.5 KB)
  • 6. Functions in Python.mp4 (12.9 MB)
  • 6. Functions in Python.vtt (8.1 KB)
  • 7. Packages in Python.mp4 (39.7 MB)
  • 7. Packages in Python.vtt (20.2 KB)
  • 8. Numpy and Arrays in Python.mp4 (16.5 MB)
  • 8. Numpy and Arrays in Python.vtt (10.8 KB)
  • 9. Slicing Arrays.mp4 (12.6 MB)
  • 9. Slicing Arrays.vtt (6.4 KB)
4. Matrices
  • 1. Project Brief Basketball Trends.mp4 (39.6 MB)
  • 1. Project Brief Basketball Trends.vtt (11.7 KB)
  • 10. Basketball Insights.mp4 (41.5 MB)
  • 10. Basketball Insights.vtt (16.5 KB)
  • 11. Section Recap.mp4 (7.7 MB)
  • 11. Section Recap.vtt (5.5 KB)
  • 12. HOMEWORK Basketball free throws.mp4 (26.2 MB)
  • 12. HOMEWORK Basketball free throws.vtt (7.5 KB)
  • 13. Matrices.html (0.1 KB)
  • 2. Matrices.mp4 (6.9 MB)
  • 2. Matrices.vtt (4.9 KB)
  • 3. Building Your First Matrix.mp4 (71.2 MB)
  • 3. Building Your First Matrix.vtt (24.7 KB)
  • 4. Dictionaries in Python.mp4 (70.1 MB)
  • 4. Dictionaries in Python.vtt (21.5 KB)
  • 5. Matrix Operations.mp4 (37.2 MB)
  • 5. Matrix Operations.vtt (12.6 KB)
  • 6. Your first visualization.mp4 (37.3 MB)
  • 6. Your first visualization.vtt (16.0 KB)
  • 7. Expanded Visualization.mp4 (40.7 MB)
  • 7. Expanded Visualization.vtt (14.7 KB)
  • 8. Creating Your First Function.mp4 (48.5 MB)
  • 8. Creating Your First Function.vtt (16.0 KB)
  • 9. Advanced Function Design.mp4 (56.7 MB)
  • 9. Advanced Function Design.vtt (15.5 KB)
5. Data Frames
  • 1. Importing data into Python.mp4 (30.0 MB)
  • 1. Importing data into Python.vtt (11.5 KB)
  • 10. Keyword Arguments in Python (advanced tutorial).mp4 (44.1 MB)
  • 10. Keyword Arguments in Python (advanced tutorial).vtt (14.3 KB)
  • 11. Section Recap.mp4 (8.5 MB)
  • 11. Section Recap.vtt (6.0 KB)
  • 12. HOMEWORK World Trends.mp4 (20.9 MB)
  • 12. HOMEWORK World Trends.vtt (5.9 KB)
  • 13. Data Frames.html (0.1 KB)
  • 2. Exploring your dataset.mp4 (40.0 MB)
  • 2. Exploring your dataset.vtt (15.5 KB)
  • 3. Renaming Columns of a Dataframe.mp4 (8.0 MB)
  • 3. Renaming Columns of a Dataframe.vtt (4.1 KB)
  • 4. Subsetting dataframes in Pandas.mp4 (61.8 MB)
  • 4. Subsetting dataframes in Pandas.vtt (25.0 KB)
  • 5. Basic operations with a Data Frame.mp4 (42.4 MB)
  • 5. Basic operations with a Data Frame.vtt (13.6 KB)
  • 6. Filtering a Data Frame.mp4 (75.1 MB)
  • 6. Filtering a Data Frame.vtt (27.8 KB)
  • 7. Using .at() and .iat() (advanced tutorial).mp4 (38.1 MB)
  • 7. Using .at() and .iat() (advanced tutorial).vtt (12.7 KB)
  • 8. Introduction to Seaborn.mp4 (38.6 MB)
  • 8. Introduction to Seaborn.vtt (14.9 KB)
  • 9. Visualizing With Seaborn Part 1.mp4 (34.7 MB)
  • 9. Visualizing With Seaborn Part 1.vtt (14.3 KB)
6. Advanced Visualization
  • 1. What is a Category data type.mp4 (35.6 MB)
  • 1. What is a Category data type.vtt (14.1 KB)
  • 10. BONUS Building Dashboards in Python.mp4 (83.6 MB)
  • 10. BONUS Building Dashboards in Python.vtt (22.8 KB)
  • 11. BONUS Styling Tips.mp4 (71.1 MB)
  • 11. BONUS Styling Tips.vtt (22.5 KB)
  • 12. BONUS Finishing Touches.mp4 (52.5 MB)
  • 12. BONUS Finishing Touches.vtt (20.4 KB)
  • 13. Section Recap.mp4 (10.3 MB)
  • 13. Section Recap.vtt (7.4 KB)
  • 14. HOMEWORK Movie Domestic % Gross.mp4 (27.5 MB)
  • 14. HOMEWORK Movie Domestic % Gross.vtt (6.5 KB)
  • 15. Advanced Visualization.html (0.1 KB)
  • 2. Working with JointPlots.mp4 (22.3 MB)

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