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This repository contains what I learnt when undergoing training for Data Science professional course: Data Visualization with Python

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Data Visualization with Python

Course Overview

This course provides an introduction to data visualization techniques using Python. Starting with basic visualization tools, participants will learn how to create various types of charts and graphs to represent data effectively. The course also covers specialized visualization tools, including Plotly and Dash, for creating interactive visualizations and dashboards.

Course Modules

  1. Introduction to Data Visualization
  2. Basic Visualization Tools
  3. Specialized Visualization Tools
  4. Creating Dashboards with Plotly
  5. Working with Dash

Prerequisites

  • Basic understanding of Python programming
  • Familiarity with data structures like lists, dictionaries, and DataFrames

Course Structure

  • Each module consists of video lectures, quizzes, and hands-on exercises.
  • Participants are encouraged to complete the exercises to reinforce their learning.

Certification

  • Upon successful completion of the course, participants will receive a certificate of completion from Coursera.

Course Materials

  • All course materials, including lecture videos, assignments, and quizzes, are available on the Coursera platform.

Support

  • Participants can use the Coursera forums to ask questions and interact with instructors and fellow learners.

Further Learning

  • Participants interested in furthering their knowledge in data visualization can explore other courses and resources recommended by the instructors.

Happy learning!

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This repository contains what I learnt when undergoing training for Data Science professional course: Data Visualization with Python

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