Data Processing and Visualisation

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Course Highlights

This course is a part of the AI Ascend program.
This course covers the fundamental concepts of data processing and visualization.
The course includes data preprocessing steps such as data cleaning and normalization.
Also, the importance of data visualisation has been covered.
Two important Python libraries for visualization, matplotlib and seaborn, have been included.
Job Roles-
- Data Scientist

At the end of this course, you should be able to:

Understand data cleaning techniques.
Perform sorting and aggregation on DataFrames
Create visualizations to report results of data analysis.
Use different data normalization techniques based on the underlying data distribution.

At the end of this course, you should be able to:

Understand data cleaning techniques.
Perform sorting and aggregation on DataFrames
Create visualizations to report results of data analysis.
Use different data normalization techniques based on the underlying data distribution.

This course is suitable for beginners in data science as it covers the most fundamental concepts related to data processing and visualisation using Python programming language.
The course covers some of the most fundamental aspects of working with data, including data cleaning, preprocessing and visualising the data.
The course has been structured to include the concepts and their application at each stage.
Suitable examples and illustrations have been provided to present the content in an engaging way.