Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more
Free
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What you'll learn
- Python, we will be using Python3 in this course
- Data Analysis Libraries in Python such as NumPy and Pandas
- Data Visualization Libraries in Python such as Matplotlib and Seaborn
- How to analyse data
- Data Visualization
- Jupyter Notebooks IDE / Anaconda Distribution
Requirements
No prior knowledge required
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