Python for Data Analysis & Visualization 2022

Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more

Rating: 4.5 out of 5

4.5  (257 ratings)

24,931 students

Created by Malvik Vaghadia

Last updated 08/2022

English

What you'll learn

1. Python, we will be using Python3 in this course
2. Data Analysis Libraries in Python such as NumPy and Pandas
3. Data Visualization Libraries in Python such as Matplotlib and Seaborn
4. How to analyse data
5. Data Visualization
6. Jupyter Notebooks IDE / Anaconda Distribution

Course content

16 sections • 110 lectures • 10h 3m total length

Enroll now

Description

Learn one of the most in demand programming languages in the world and master the most important libraries when it comes to analysing and visualizing data.

This course can be split into 3 key areas:

The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this course

The second area focuses on analysing and manipulating data. You will learn how to master both NumPy and Pandas

For the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib,  Seaborn and Plotly Express

You will be using Jupyter Notebooks as part of the Anaconda Distribution. Jupyter is the most popular Python IDE available.

The course is packed with lectures, code-along videos, coding exercises and quizzes.

On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.

There should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.

The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.

This course is suitable for students of all levels and it doesn’t matter what operating system you use.

Curriculum summary:

Set Up & Installation

Core Python

Python Objects, Variables and Data Types

Control Flow and Loops

Functions

External Libraries

Data Analysis Libraries

NumPy

Pandas

Connecting to different Data Sources

Visualization Libraries

Matplotlib

Seaborn

Plotly Express

4 dedicated Challenge Sections!!!!

Who this course is for:

• Python developers curious about the data analysis libraries
• Python developers curious about the data visualization libraries
• Anyone interested in learning Python
• Data Analysts
• Anyone working with data

Instructor : Malvik Vaghadia

Data and BI specialist

Malvik Vaghadia

4.6 Instructor Rating

1,617 Reviews

86,394 Students

6 Courses