What you would learn in Python for Data Analysis & Visualization 2022 course?
Study one of the world's sought-after programming languages and learn the essential libraries in visualizing and analyzing data.
The course can be broken down into three areas of focus:
The first part of the course is focused on the fundamentals of Python3and will teach you the fundamentals you require to master the Python libraries taught in this class.
The other area is focused on the analysis and manipulation of data. Learn how you can master the NumPy as well as Pandas
In the last part of the course, you will learn to present our data in fascinating charts using the Matplotlib software, Seabornand Plotly Express.
You will use Jupyter Notebooks as part of the Anaconda Distribution. Jupyter is among the top and most well-known Python IDE available.
The course includes lectures, code-along videos, coding exercises, and quizzes.
In addition, there are many dedicated sections for challenges that make use of fascinating datasets that will allow you to get the most value from these libraries.
There's plenty of material to keep you occupied and learning! Plus, you'll also be able to have forever access to lectures and many online course materials comprising detailed Notebooks.
The purpose of this class is to help you become proficient with Python as well as the visualization and data analysis libraries.
This course is appropriate for learners of different levels. It doesn't make a difference which operating system you're using.
Curriculum Summary:
Course Content:
- Python is the language we are going to use Python3 in this class.
- Data Analysis Libraries in Python like NumPy and Pandas
- Data Visualization Libraries in Python like Matplotlib and Seaborn
- How do I examine the data
- Data Visualization
- Jupyter Notebooks IDE / Anaconda Distribution
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