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DSTC-A33 Online (e-LMS) Advanced Postgrad

Data Visualization with Python

by - DSTC

Master Data Visualization with Python in 4 weeks through hands-on, project-based online training with DSTC.

β˜…β˜…β˜…β˜…β˜… Be the first to review β€’ 4 Weeks Β· 40 hrs β€’ e-Certificate Included
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From β‚Ή200 + GST

Programme Parameters

Educational Level:
Advanced Postgrad
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
β€’ Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
β€’ A laptop or desktop with a stable internet connection.
β€’ Willingness to complete assignments and the capstone project.

About This Course

The Data Visualization with Python course is a free, beginner-friendly self-paced program designed to help learners understand how to represent data visually using Python. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

The Data Visualization with Python course is a free, beginner-friendly self-paced program designed to help learners understand how to represent data visually using Python.

πŸ“‹ Course Objectives

1. Translate Artificial Intelligence theory into practical, reproducible analysis.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.

πŸ‘₯ Who Should Enroll?

β€’ Master's and senior undergraduate students specializing in Artificial Intelligence
β€’ R&D engineers and working professionals applying Artificial Intelligence in industry
β€’ Academics and educators building research or teaching capacity in Artificial Intelligence

πŸš€ Key Learning Outcomes

β€’ Tangible, reproducible Artificial Intelligence work to show supervisors or employers.
β€’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

πŸ’Ž What You'll Gain

πŸŽ₯

Live & Recorded Sessions

Lifetime access to class recordings
πŸŽ“

e-Certificate on Completion

Cryptographically verified credential
πŸ’¬

Post-Programme Support

Direct access to mentors & council
πŸ’»

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Introduction to Data Visualization

What is Data Visualization? β€’ Importance of Visualizing Data β€’ Types of Charts and Graphs β€’ Applications of Data Visualization

Module 2 Outline

Python Basics for Visualization

Introduction to Python for Data β€’ Understanding Data Structures β€’ Working with Simple Datasets β€’ Preparing Data for Visualization

Module 3 Outline

Creating Visualizations

Basic Charts: Bar, Line, and Pie β€’ Understanding Graph Elements: Axes, Labels, and Legends β€’ Visualizing Trends and Patterns β€’ Simple Plot Creation Concepts

Module 4 Outline

Interpreting and Communicating Data

Reading and Understanding Visualizations β€’ Identifying Patterns and Insights β€’ Presenting Data Clearly β€’ Storytelling with Visual Data

Module 5 Outline

Applications and Next Steps

Visualization in Business, Research, and Reporting β€’ Dashboards and Data Presentation Basics β€’ Career Opportunities in Data Analysis and Visualization β€’ Mini Learning Activity / Concept-Based Practice

Technical Specifications

ParameterRequirement
Covered Tool / PlatformPython
Covered Tool / PlatformData Visualization
Covered Tool / PlatformCharts and Graphs
Covered Tool / PlatformData Analysis
Covered Tool / PlatformBasic Plotting

Frequently Asked Questions

Yes. This is a free online self-paced course designed for beginners.

No. The course introduces Python basics along with visualization concepts, making it suitable for learners without prior coding experience.

You will learn how to create charts and graphs using Python and how to interpret and present data visually.

Students, beginners, and professionals from any background can join.

Yes. Learners receive an e-Certification after completing the course.

Data visualization is the process of presenting data through charts, graphs, and visual formats so that patterns, trends, and insights can be understood clearly.

The course introduces basic chart types such as bar charts, line charts, pie charts, and simple plots used for beginner-level data presentation.

The Data Visualization with Python course is designed as a 2–3 week online self-paced course.

Yes. The course is useful for learners who want to create reports, understand data trends, present findings, and communicate insights in business, academic, and research settings.

The course explains Python basics, simple datasets, charts, graph elements, visual interpretation, and storytelling with data in clear language without requiring prior programming knowledge. The Data Visualization with Python course provides a simple and structured introduction to presenting data using charts and graphs. It helps learners build foundational skills in visual communication, making it an ideal starting point for data science, analytics, and reporting.

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