Course Provider
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
What will you learn in Data Processing and Visualisation course?
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.
Data Processing and Visualisation
- Skill Type Emerging Tech
- Domain Artificial Intelligence
- Course Category Deepskilling Course
- Certificate Earned Joint Co-Branded Participation Certificate
- Nasscom assessment Available
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- Course Price Free
- Course Duration 15 Hours
Why you should take Data Processing and Visualisation course?
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.
Who should take Data Processing and Visualisation course?
- BE/ BTech students-any stream
- Non-engineering students-STEM background
- Working Professionals
Curriculum
- 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.
Tools you will learn in Data Processing and Visualisation course
- Data preprocessing
- data cleaning
- data types
- pandas
- DataFrames
- Data normalization
- plot, data visualization
- python
- matplotlib