Data Visualization - Python

Languages
English + Hindi + Gujarati + Telugu
Batch Size
20-25
Duration
10 hours
Investment
$$$$$
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Course Contents

  • Data visualization provides a powerful way to communicate data-driven findings, motivate analyses, and detect flaws.
  • How to communicate data-driven findings
  • Learn Matplotlib, Seaborn, Ggplot

  1. What is Data Visualization? And why Exploratory Data Analysis is important
  2. Create simple visualizations: histogram, line graphs, bar graph, pie chart
  3. Understand correlation through scatter plots and heat maps, box plots, distribution using Data visualization widgets with the underlying Matplotlib and seaborn library working in background
  4. Topics Hands-On
    • Perform Exploratory Analysis by Visualizing the Dataset in Various Plots to visualizing the use case Data and drawing and concluding insight(s) based on data
    • Detecting and Removing Outliers
    • Perform Cross-Tabulation on Data
    • Summarizing Graphical EDA Techniques using a Case Study

Who Can Take This Course? Anyone and everyone who loves numbers and computer codes! From students to working professionals and data analysts and machine learning specialists, this course is open to all.

  • Basic computer skills 
  • An understanding of high school mathematics or statistics (don’t worry, it’s not as scary as it sounds!)
  • A strong zeal to learn and upskill yourself. Inquisitiveness and passion are the key!

Instructor Profile

instructor_image

Expert in Python, Anaconda, Orange, Data Science, Machine Learning, Deep Learning.

This course includes:

  • 100% Online Sessions
  • Instructor led
  • Customizable Syllabus
  • Customizable Schedule
  • Certificate of Completion
  • Training Recordings
  • Training Resources
  • Learner Assessment
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