Learn Python for Data Analysis & Visualization Course

2 Hours

$12.99$52.00

You save 75%

33 Lessons (2h)

Course Introduction
Course overview3:36
How to access the source code of this course
Setting up Python, Anaconda, Atom and GitHub
Setting up Anaconda7:02
Setting up the Atom text editor4:28
How to create a virtual environment3:28
How to clone a GitHub Repository5:44
New Lecture
How to use the Atom Text Editor to push code to GitHub
Introduction to Python Pandas
Introduction to Pandas1:05
Introduction to Dataframes2:13
Inspecting data17:46
Conditional filtering3:51
Using NumPy and Pandas together2:21
Creating Dataframes from NumPy3:03
Creating Dataframes from dictionaries6:16
Using Broadcasting in Pandas1:40
Labelling data in a Dataframe1:29
Building Dataframes with broadcasting1:55
Cleansing, Importing and Exporting Data12:19
Creating plots with pandas10:29
Visual Data Analysis
Creating graphs with pandas line plot4:15
Creating graphs with pandas scatter plot4:22
Creating graphs with pandas bar plot2:01
Statistical Exploratory Data Analysis6:07
Filtering data5:38
Managing Dates and Times with Python Pandas
Introduction to pandas DateTime0:47
Indexing panda time series5:38
Creating and using a DateTimeIndex2:08
Resampling Pandas Time Data5:36
Method Chaining2:36
Separating and Resampling2:29
Additional Filtering Methods3:05
Visualizing Pandas Time Data5:02

Analyze & Use Effective Data Visualization Techniques with 2 Hours of Content on Python Pandas

Tony Staunton

4.2/5 Instructor Rating: ★ ★ ★ ★ ★ ★

Tony Staunton is a Python development and productivity consultant, helping over 20,000 students. He loves all things to do with programming, productivity, books, and the internet. Tony created and ran his own software business and won several awards from, a most innovative startup to the best product.

Description

Python Pandas are one of the most used libraries in Python when it comes to data analysis and manipulation. Whether in finance, scientific fields, or data science, familiarity with Pandas is a must-have. This course teaches you how to work with real-world data sets for analyzing data in Python using Pandas. Not only will you learn how to manipulate and analyze data you will also learn powerful and easy to use visualization techniques for representing your data.

4.0/5 average rating: ★ ★ ★ ★ ★ ★

Access 33 lectures & 2 hours of content 24/7
Use Pandas DataFrames to work w/ tabular data
Use conditional filtering to select relevant information from datasets
Create graphical plots such as bar, line, area, scatter, & more

Specs

Important Details

Length of time users can access this course: lifetime
Access options: desktop & mobile
Certificate of completion included
Redemption deadline: redeem your code within 30 days of purchase
Updates included
Experience level required: intermediate
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Requirements

Any device with basic specifications

Terms

Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.

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