Online Workshop on ‘Data Handling, Cleaning, Visualization and Statistical Analysis in Python for Public Health Professionals’

    Background

    Data visualization is the representation of information embedded in the data, in the graphical forms. It is one of the most impactful way to communicate the story hidden behind the complex data. In the world of Big Data, data visualization as a tool provides an accessible way to understand the patterns, highlighting the trends and outliers in the data. In this workshop, writing Python codes to visualize data using charts, graphs and maps will be taught. Using programming language, one has the power to automate the process of creating charts, graphs and maps. This helps in creating similar graphs etc. with different datasets using same Python codes. In this workshop, through lectures and hands-on exercises with health-related datasets, you will explore and learn how to choose the best visualization for your dataset and how to interpret it.

    This workshop is suitable for anyone who wants to upgrade their skill of data visualization and learn basic to intermediate coding in Python. This online workshop will be facilitated through CISCO WebEx on IIPH-Delhi platform, therefore, it requires stable internet connection and strong bandwidth to attend the sessions.

    2023-24

    Workshop Series

    Content

    • Introduction to Python
    • Installing Python and familiarizing Python Environment, Libraries for Data
      Visualization
    • Strength and limitation of Data Visualization libraries viz., Matplotlib, Pandas,
      Seaborn
    • Writing Python Code for Data Visualization – Scatter, Line and Bar plot, Histogram,
      Box plot, Heat Map, Tree Map, Faceting etc.
    • Assignment and Hand-on training of writing Python code to create graphs
    • Statistical Analysis of Big Data

    Course Fee

    Indian Participant:
    9000 INR per participant
    International Participant:
    18000 INR per participant

    Course Coordinator

    Dr. Surabhi Pandey
    Associate Professor
    E‐mail: surabhi.pandey@phfi.org