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Data visualization using Python Libraries

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About Course

Drawing insights from the data and then communicating the same to management in simple terms and visualizations is the core responsibility of a Data Analyst. Know how to choose the right chart to communicate the findings from the data and plot data using libraries like matplotlib, seaborn, and plotly

What Will You Learn?

  • In this course, you will learn about
  • Introduction to matplotlib
  • Creating Time series, Bar charts, histograms and boxplots
  • Sharing visualizations using matplotlib
  • Introduction to seaborn
  • Using Pandas with seaborn Scatter plots, line plots and bar plots
  • Customizing seaborn plots
  • All concepts will be taught using small exercises.
  • You will do a project on a dataset to understand how all pieces tie together. You will learn about Matplotlib, Seaborn, Data visualization
  • In the end, you will be able to Visualize the data through the right graphs and plots using python libraries

Course Content

Data visualizaton using python libraries

  • Introduction to matplotlib
    00:00
  • Creating Time series, Bar chart, histograms and boxplots
    00:00
  • Sharing visualizations
    00:00
  • Introduction to seaborn
    00:00
  • Using Pandas with seaborn
    00:00
  • Scatter plots, line plots and bar plots
    00:00
  • Customizing seaborn plots
    00:00