Data Processing and Visualisation Data Processing and Visualisation

Data Processing and Visualisation

Data Processing and Visualisation

Course Provider

Data Processing and Visualisation

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-icon Skill Type
    Emerging Tech
  • domain-icon Domain
    Artificial Intelligence
  • course-category-icon Course Category
    Deepskilling Course
  • certified-earned-icon Certificate Earned Joint Co-Branded Participation Certificate
  • ssc-assesment-icon Nasscom assessment Available
    • cost-white-icon Course Price
      Free
    • duration-white-icon Course Duration
      15 Hours
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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
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