Data Analysis and Visualization with Pandas and Matplotlib

سرفصل های دوره

Transforming Raw Data into Actionable Insights using :Python, Pandas, Matplotlib, Pyplot, Juypyter Notebook

1 - Introduction to Pandas

1 - Introduction.html

2 - Overview of Pandas.html

3 - What is Python.html

4 - Python Installation on Windows

5 - What are virtual environments

6 - Creating and activating a virtual environment on Windows

7 - Python Installation on macOS.html

8 - Creating and activating a virtual environment on macOS.html

9 - What is Jupyter Notebook.html

10 - Installing Pandas and Jupyter Notebook in the Virtual Environment

11 - Starting Jupyter Notebook

12 - Exploring Jupyter Notebook Server Dashboard Interface

13 - Creating a new Notebook

14 - Exploring Jupyter Notebook Source and Folder Files

15 - Exploring the Notebook Interface

2 - Pandas Data Structures

16 - Introduction.html

17 - What is a Series.html

18 - Creating a Pandas Series from a List

19 - Creating a Pandas Series from a List with Custom Index

20 - Creating a pandas series from a Python Dictionary

21 - Accessing Data in a Series using the index by label

22 - Accessing Data in a Series By position

23 - Slicing a Series by Label

24 - What is a DataFrame.html

25 - Creating a DataFrame from a dictionary of lists

26 - Creating a DataFrame From a list of dictionaries

27 - Accessing data in a DataFrame

28 - Manipulating Data in a DataFrame

3 - Financial Data Analysis and Visualization

29 - AAPL.csv

29 - Download Dataset

30 - Loading Dataset into a DataFrame

31 - Inspecting the data

32 - Data Cleaning

33 - Data transformation and analysis

34 - Visualizing data

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تولید کننده: Udemy