Learn Data Analysis with Python Pandas
Real world examples of Python Pandas to analyse large data files. Create visual representations of your data.
4.03 (62 reviews)
5,299
students
2.5 hours
content
Jan 2019
last update
$19.99
regular price
What you will learn
How-to install Python and Anaconda - the worlds largest Data Science platform.
How-to create a virtual environment using Conda.
How-to setup the Atom Text Editor.
How to clone a GitHub Repository in Atom Text Editor.
How-to create a new branch in Atom Text Editor.
Use Python Pandas to read in large data-sets such as stock price information, customer information, purchase information and more.
Use Pandas DataFrames to work with tabular data.
Inspect datasets to gain quick valuable insights.
Use conditional filtering to select relevant information from datasets.
Using NumPy and Pandas together.
Create Pandas DataFrames from scratch.
Create DataFrames from Python dictionaries.
Using Broadcasting with DataFrames.
Correctly labeling data and columns.
Data cleansing techniques.
Using Python Pandas to create graphical plots such as bar, line, area, scatter etc.
How-to analysis datasets using statistical methods such as min, mas, mean, std.
Create filters in your code to extract targeted data from large datasets.
How-to manage time data in Python with Pandas.
Correctly index time data and create DateTime indexes.
Partial String Indexing and slicing.
Resampling Pandas Time Data.
Method Chaining.
Separating and Resampling.
Screenshots
Related Topics
1980038
udemy ID
10/21/2018
course created date
7/24/2020
course indexed date
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