Virtual Workshop

Data Visualization using Pandas, Matplotlib and Seaborn

Data Visualisation, Seaborne, Matplotlib, Pandas, Bioinformatics

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MODE
Virtual (Google Meet)
TYPE
Mentor Based
LEVEL
Moderate
DURATION
1 Month
VIDEO LENGTH
1

About

In this program, you will embark on a journey through the fascinating world of data visualization and ability to convey insights effectively through visuals is paramount. In this immersive program, we will empower you with the knowledge and skills to unleash the full potential of three powerhouse Python libraries: Pandas, Matplotlib, and Seaborn. Whether you’re a seasoned data scientist, a meticulous analyst, an inquisitive researcher, or anyone who grapples with data in their daily work, this program is meticulously crafted to provide you with the indispensable tools and techniques to elevate your data storytelling game.

Aim

To familiarize students with the stages of the visualization, mapping data attributes to graphical attributes, existing visualization paradigms, techniques, and tools, and evaluating the effectiveness of visualizations for specific data.

Program Objectives

  • Master Data Visualization Tools: The primary objective of this program is to empower participants with in-depth knowledge and practical expertise in using three of the most powerful Python libraries for data visualization: Pandas, Matplotlib, and Seaborn.
  • Effective Data Storytelling: Equip participants with the skills to transform raw data into compelling and informative visual narratives that can be easily understood by diverse audiences.
  • Hands-On Experience: Provide hands-on experience through practical exercises and real-world examples, ensuring that participants gain confidence in applying data visualization techniques in their own work.
  • Data Exploration: Foster an understanding of data exploration techniques, including data cleaning, manipulation, and preprocessing using Pandas, as a crucial foundation for effective data visualization.
  • Visualization Mastery: Enable participants to create a wide range of visualizations, from basic charts to complex interactive dashboards, using Matplotlib and Seaborn.
  • Aesthetic and Insightful Visuals: Teach participants how to use Seaborn to enhance the visual appeal of their graphics while extracting meaningful insights from data.
  • Cross-Domain Applications: Showcase the versatility of data visualization by exploring its applications in various domains, including business, research, healthcare, environmental science, social sciences, marketing, and more.
  • Networking and Collaboration: Foster an environment for networking and collaboration among participants, encouraging the exchange of ideas and best practices in data visualization.
  • Empower Diverse Professions: Tailor the program to cater to the specific needs and interests of participants from diverse professions, including students, educators, healthcare practitioners, entrepreneurs, government professionals, and more.

Program Structure

Day 1:

  • Knowing your Data
  • Types of Data, Effectiveness of visualization across data types (categorical, ordinal and nominal),
  • What is Data Visualization?
  • Benefits of Data Visualization, univariate analysis, bivariate analysis, multivariate analysis.
  • Introduction to numpy
  • Visualization using pandas
  • Concept of Dataframe, Setting up the environment.
  • Line plot, bar plot, stacked plot, histogram, box plot, area plot, scatter plot, hex plot, pie plot

Day 2:

  • Visualization using Matplotlib
  • What is matplotlib? Setting up the environment.
  • Line, scatter, hist, bar, pie subplot, box, doughnut, word clouds
  • Visualization using Seaborn
  • What is Seaborn? Setting up the environment.
  • Customizing plots – background colour, grids, despine, scaling plots, scaling fonts and line widths Scatter plot – style and size, hue, jitter, swarm
  • Plotting univariate distributions – histogram Plotting bivariate distributions – hexplot, kde plot

Day 3:

  • Real life project
  • Perform hands on Project using Kaggle Dataset

Participant’s Eligibility

Students Data Enthusiasts, Aspiring Data Analysts, Data Scientists, Researchers, Business Professionals, Educators, Healthcare Practitioners, Social Scientists, Environmentalists, Startups and Entrepreneurs, Government Professionals, Students and Academics, Marketing Professionals, Financial Analysts

Important Dates

Registration Ends

2023-11-20
Indian Standard Timing 05:00 PM

Program Dates

2023-11-20 to 2023-11-22
Indian Standard Timing 06:00 PM

Program Outcomes

  • Proficiency in Data Visualization: Participants will gain a high level of proficiency in data visualization using Pandas, Matplotlib, and Seaborn, enabling them to create a wide range of informative and visually appealing graphics.
  • Data Exploration Skills: Attendees will acquire the ability to explore and manipulate datasets effectively using Pandas, a crucial skill for data preprocessing and analysis.
  • Visual Storytelling Mastery: participants will master the art of using data visualizations to tell compelling and insightful stories, making complex data more accessible to diverse audiences.
  • Practical Application: Participants will be equipped with practical, real-world experience through hands-on exercises and case studies, allowing them to apply data visualization techniques immediately.
  • Customization and Creativity: Attendees will develop the capability to customize and innovate with their visualizations, tailoring them to specific needs and audience preferences.
  • Insights Extraction: Attendees will learn how to extract meaningful insights from data through visualization, helping them make informed decisions and discoveries in their respective fields.
  • Cross-Disciplinary Knowledge: The program will foster cross-disciplinary knowledge sharing and collaboration among participants, enriching their perspectives and expanding their horizons.
  • Networking Opportunities: Participants will have the chance to network with peers, educators, professionals, and experts in the field, potentially leading to collaboration and future opportunities.
  • Enhanced Communication Skills: The program will enhance participants’ ability to communicate complex data concepts effectively, benefiting their careers and educational pursuits.
  • Versatility in Applications: Attendees will understand the versatility of data visualization, allowing them to apply these skills in a wide range of domains, including business, research, healthcare, environmental science, and more.
  • Increased Confidence: Participants will gain confidence in their data visualization capabilities, feeling well-prepared to tackle data-related challenges in their roles or academic endeavors.
  • Valuable Resources: Participants will leave the program with valuable resources, reference materials, and a network of peers to support their continued growth in data visualization.

Mentor Profile

debika bhattachrya
Name: DR. DEBIKA BHATTACHARYYA
Designation: Professor
Affiliation: CSE Department of IEM, University of Engineering & Management

Dr. Debika Bhattacharyya is a Professor in the CSE Department of IEM at the University of Engineering & Management. She received her Ph.D. in Engineering from Jadavpur University in 2007 and then worked as a Professor in CSE Institute for 22 Years. She is having 6 Years of Experience in the field of Data Science. Her Area of Expertise includes: Data Science, Machine Learning, Python, Statistics for Data Science
She is the recipient of “Rashtriya Gaurav Award & Certificate of Excellence by India International Friendship Society”, New Delhi ,2019, Recipient of “Distinguished leader” in the engineering discipline by Venus International Foundations in 2018, and awarded as the “Best Teacher” in 2014 and in 2018 by Institute of Engineering & Management.

Fee Structure

Student

INR. 999
USD. 40

Ph.D. Scholar / Researcher

INR. 1199
USD. 45

Academician / Faculty

INR. 1499
USD. 50

Industry Professional

INR. 1999
USD. 75

Batches

Spring
Summer

Autumn
Winter

FOR QUERIES, FEEDBACK OR ASSISTANCE

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Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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