Python for Data Analysis & Visualization
Python for Data Analysis & Visualization
Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more
Product Brand: Udemy
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Udemy COupon Code for Python for Data Analysis & Visualization Course. Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more
Created by Malvik Vaghadia | 10 hours on-demand video course | 1 downloadable resources
Python Course Overview
Python for Data Analysis & Visualization
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.
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
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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
I value simplicity and clarity in teaching. My courses are designed to be straightforward and to-the-point, with a focus on delivering knowledge in a way that’s easy to understand and immediately applicable. Whether you’re just starting out or looking to advance your skills, my goal is to provide you with the solid foundation you need to excel in your data engineering career.
