Mastering Data Analytics and Visualisation with Python

سرفصل های دوره

From Novice to Ninja - Master Data Analytics with Python and Visualisation extract Actionable Insights from Data

1. Introduction

1.1 Python for Data Analytics.pdf

1. The Course

2. Resources.html

2. Python Setup

1.1 Download Anaconda.html

1. Installing Anaconda

2.1 python setup-copy1.zip

2.2 python setup.zip

2. Notebooks

3.1 Markdown Guide.html

3.2 styling notebooks.zip

3. Styling Notebooks

3. Python Basics

1.1 how python works.zip

1. How Python Works

2.1 different data types.zip

2. Different Data Types

3.1 functions for data types.zip

3. Functions for Data Types

4.1 assignments.zip

4. Assignments

5.1 comparisons.zip

5. Comparisons

6.1 print.zip

6. Print

7.1 if loops.zip

7. If Loops

8.1 while loops.zip

8. While Loops

9.1 for loops.zip

9. For Loops

10.1 lists.zip

10. Lists

11.1 dictionaries.zip

11. Dictionaries

12.1 maths functions.zip

12. Maths Functions

13.1 string functions.zip

13. String Functions

14.1 number functions.zip

14. Number Functions

15.1 importing libraries.zip

15. Importing Libraries

16.1 commenting.zip

16. Commenting

17. Python Basics Test.html

4. Numpy

1.1 numpy basics.zip

1. Numpy Basics

2.1 slices.zip

2. Slices

3.1 copies and views.zip

3. Copies and Views

4.1 iterating.zip

4. Iterating

5.1 join and split.zip

5. Join and Split

6.1 search and sort.zip

6. Search and Sort

7.1 random numbers.zip

7. Random Numbers

8. Numpy Test.html

5. Pandas

1.1 pandas dataframes.zip

1. Pandas Dataframes

2.1 reading csv files.zip

2.2 sales.csv

2. Reading CSV Files

3.1 sales.csv

3.2 view data.zip

3. View Data

4.1 incomplete data.zip

4.2 incomplete.csv

4. Incomplete Data

5.1 duplicates.csv

5.2 duplicates.zip

5. Duplicates

6.1 dropping rows.zip

6.2 sales.csv

6. Dropping Rows

7.1 column calculations.zip

7.2 incomplete.csv

7. Column Calculations

8.1 changing values.zip

8.2 sales.csv

8. Changing Values

9.1 iterating through rows.zip

9.2 sales.csv

9. Iterating Through Rows

10.1 adding new columns.zip

10.2 sales.csv

10. Adding New Columns

11.1 customers1.csv

11.2 customers2.csv

11.3 joining datframes.zip

11.4 orders.csv

11. Joining dataframes

12.1 customers1.csv

12.2 customers2.csv

12.3 merge no index.csv

12.4 merge.csv

12.5 merge.zip

12.6 orders.csv

12.7 writing to files.zip

12. Writing to Files

13. Pandas Test.html

6. Matplotlib

1.1 line graphs.zip

1. Line Graphs

2.1 grids and subplots.zip

2. Grids and Subplots

3.1 scatter plots.zip

3. Scatter Plots

4.1 bar graphs.zip

4. Bar Graphs

5.1 pie charts.zip

5. Pie Charts

6.1 cities.zip

6.2 data.csv

6.3 using pandas and saving.zip

6. Using Pandas and Saving

7. Matplotlib Test.html

7. Conclusion

1.1 Matplotlib.html

1.2 Pandas.html

1.3 Stack Overflow.html

1. Helpful Resources

2. Bonus.html

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تولید کننده: Udemy