Data science key programming, stats, And computing skills
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4:33:47
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1. What skills you are expected to learn in this series.html
1. Key computing concepts relevant to Data science.html
1. Part 1 - the measures of central tendency, dispersion, and position.html
2. Part 2 - Data distribution (center, spread, shape, and unusual features).html
3. Part 3 - Charts.html
4. Part 4 - populations vs samples.html
1. Part 1 - Introduction to python.html
2. Environment setup to start writing python programs..mp4
12:13
3. Part 2 - Data Structures.html
4. Part3 - Conditionals.html
5. Part 4 - Loops.html
6. Practicing conditionals and loops.html
7. Part 5 - Functions.html
8. Part 6 - Code Tracing - Important.html
9. Part 7 - How to write a program the right way!.html
10. Part 7 - Practicing program writing - important.mp4
38:33
11. Part 8 - Object-Oriented Programming.html
12.1 project - solved.zip
12.2 project - unsolved.zip
12. Midpoint project - putting together what we learned.mp4
46:34
1. Introduction to the Pandas library.html
2.1 cheat sheet pip.pdf
2. Pandas and Jupyter-notebooks setup - How to install Python libraries using pip.mp4
13:30
3. The Series - manipulating tabular data.mp4
36:06
4. DataFrames - manipulating tabular data - Part 1.mp4
33:57
5. DataFrames - manipulating tabular data - Part 2.mp4
30:06
1. Matplotlib Library - Intro.html
2. Matplotlib - Creating graphs.html
1.1 car basic data.csv
1.2 car engine data.csv
1.3 project - solved.zip
1.4 project - unsolved.zip
1. Part 1 - collecting, exploring, cleaning, analyzing, and visualizing car data.mp4
35:20
2. Part 2 - collecting, exploring, cleaning, analyzing, and visualizing car data.mp4
27:28
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Udemy
View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 9
- duration 4:33:47
- Release Date 2023/06/16