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Practical Python for Data Professionals

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Practical Python for Data Professionals

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Total Size

386.4 MB

Total Files

112

Last Seen

2025-07-22 00:15

Hash

77C74B378761CA800EBDDF05E2EF57A79C5EA15A

/01 - Introduction/

02 - Prerequisites.mp4

34.3 MB

01 - Introduction.srt

1.9 KB

02 - Prerequisites.srt

2.7 KB

01 - Introduction.mp4

16.7 MB

/

TutsNode.net.txt

0.1 KB

[TGx]Downloaded from torrentgalaxy.to .txt

0.6 KB

/05 - 4. EDA/

03 - Distributions Histograms.srt

12.3 KB

06 - Data visualizations Comparing categories.srt

8.4 KB

07 - Data visualization Data tables.srt

8.2 KB

08 - Data visualization Relationships.srt

7.4 KB

02 - Summary statistics.srt

6.3 KB

09 - Create a ridge plot.srt

5.9 KB

03 - Distributions Histograms.mp4

17.1 MB

05 - Other distribution types.srt

5.2 KB

01 - Introduction to EDA.srt

5.0 KB

04 - Data transformations Normalization and log.srt

4.9 KB

06 - Data visualizations Comparing categories.mp4

16.9 MB

08 - Data visualization Relationships.mp4

15.8 MB

07 - Data visualization Data tables.mp4

13.7 MB

09 - Create a ridge plot.mp4

13.6 MB

02 - Summary statistics.mp4

12.3 MB

05 - Other distribution types.mp4

8.7 MB

04 - Data transformations Normalization and log.mp4

8.7 MB

01 - Introduction to EDA.mp4

8.6 MB

/.../02 - 1. Case Study Introduction/

01 - The who, what, where, and why.srt

0.4 KB

04 - Where.srt

2.2 KB

05 - Why.srt

1.8 KB

02 - Who.srt

6.1 KB

03 - What.srt

4.9 KB

06 - Case study introduction.srt

4.3 KB

02 - Who.mp4

11.6 MB

03 - What.mp4

8.5 MB

06 - Case study introduction.mp4

8.1 MB

01 - The who, what, where, and why.mp4

5.8 MB

04 - Where.mp4

4.3 MB

05 - Why.mp4

1.6 MB

/.pad/

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/07 - Conclusion/

01 - Wrap-up and next steps.mp4

25.3 MB

01 - Wrap-up and next steps.srt

1.8 KB

/.../06 - 5. Data Visualization and Storytelling/

07 - Putting it all together.srt

10.4 KB

01 - Visual best practices Part 1.srt

6.6 KB

02 - Visual best practices Part 2.srt

6.4 KB

05 - Storyboarding.srt

6.0 KB

06 - What's in a story.srt

5.1 KB

03 - Leverage exploratory and explanatory visualizations.srt

4.8 KB

04 - Choose a medium.srt

3.1 KB

07 - Putting it all together.mp4

14.7 MB

02 - Visual best practices Part 2.mp4

9.6 MB

01 - Visual best practices Part 1.mp4

8.5 MB

06 - What's in a story.mp4

7.1 MB

05 - Storyboarding.mp4

6.4 MB

03 - Leverage exploratory and explanatory visualizations.mp4

5.0 MB

04 - Choose a medium.mp4

4.7 MB

/.../03 - 2. Breaking Down the Problem Statement/

02 - Get familiar Domain.srt

7.9 KB

01 - Define the problem The three Ds.srt

1.2 KB

05 - Get familiar Deliverable.srt

5.7 KB

04 - Get familiar Data.srt

4.9 KB

06 - Set the right expectations.srt

4.4 KB

03 - Domain Applied.srt

4.3 KB

01 - Define the problem The three Ds.mp4

14.9 MB

02 - Get familiar Domain.mp4

9.0 MB

06 - Set the right expectations.mp4

6.5 MB

05 - Get familiar Deliverable.mp4

5.2 MB

04 - Get familiar Data.mp4

4.9 MB

03 - Domain Applied.mp4

4.6 MB

/.../04 - 3. Data Collection, Cleaning, and Transformation/

02 - Read in data from a CSV file.srt

7.1 KB

04 - General cleaning techniques High-level checks.srt

6.2 KB

03 - General cleaning techniques.srt

1.9 KB

06 - Data transformations Binning.srt

4.6 KB

01 - Getting set up in Codespaces.srt

3.6 KB

05 - General cleaning techniques Missing values.srt

3.5 KB

02 - Read in data from a CSV file.mp4

12.2 MB

04 - General cleaning techniques High-level checks.mp4

11.0 MB

06 - Data transformations Binning.mp4

9.5 MB

05 - General cleaning techniques Missing values.mp4

8.2 MB

01 - Getting set up in Codespaces.mp4

5.2 MB

03 - General cleaning techniques.mp4

2.9 MB

 

Total files 112


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