Why Opt for a Certificate in Data Analytics at E&ICT Academy, IIT Guwahati?

Are you ready to dive into the world of data analytics and unlock the power of insights? Wondering why the Certificate in Data Analytics at E&ICT Academy, IIT Guwahati stands out from the rest?

If you’re eager to propel your career to new heights and harness the potential of data-driven decision-making, this is the blog for you! 

Join us on an exhilarating journey as we explore the compelling reasons to opt for this prestigious certificate program. 

From cutting-edge curriculum to renowned faculty, let’s unravel the exciting opportunities that await you. 

Get ready to transform your future with the Certificate in Data Analytics at E&ICT Academy, IIT Guwahati!

  • Certification: Get Certified by E&ICT Academy, IIT Guwahati
  • 45+ Hours of Live Classes
  • 3 Months Weekend Classes
  • 8 Career Assistance Sessions
  • 20+ Real business use cases
  • LIVE Instructor-led Training
  • Placements: 100% Career Assistance

This program is suitable for Engineers, Project Managers, Consultants, Software Engineers, Teachers, Associates, Operations Professionals, Sales & Marketing Professionals, Non IT/Non Tech professionals, and Professionals on a career break.

Program Highlights

Term 1: Data Analysis with Python

Module 1 – Data Science Fundamentals
  • Thought Experiment: Data Science from a layman’s perspective
  • Brief Intro to Data Science
  • How companies use Data Science
  • Overview of Data Science project lifecycle
  • Walkthrough of data types and data challenges
Module 2 – Recap: Python for Data Science
  • In-class quiz for Python Basics
  • Common Python concepts and sample questions
  • Variable, Inbuilt datatypes, functions, modules and Packages
  • File operations and error handling
Module 3 – Recap: Statistics for Data Science
  • In-class quiz for Descriptive Statistics
  • Common charts used
  • In-class quiz for Inferential Statistics
  • Probability, Central Limit Theorem, Normal Distribution & Hypothesis Testing
Module 4 – Data Operations with NumPy
  • Introduction to NumPy Arrays
  • How to apply mathematical operations in NumPy
  • Array manipulation using NumPy
  • Broadcast values across Arrays using NumPy
Module 5 – Data Manipulation with Pandas
  • Types of Data Structures in Pandas
  • Clean data using Pandas
  • Manipulating data in Pandas
  • How to deal with missing values
  • Hands-on: Implement Numpy arrays and Pandas Dataframes

Term 2: Data Visualization Techniques

Module 6 – Introduction to Data Visualization
  • Brief Introduction to Data Visualization
  • Advantages and Applications of Data Visualization.
  • Univariate statistical charts
  • Bivariate statistical charts
  • Multivariate statistical charts
Module 7 – Data Visualization using Matplotlib
  • Introduction to Python’s Data Visualization library – Matplotlib
  • Basic usage of Matplotlib
  • Using Matplotlib to plot statistical charts
  • Labeling the plots using Matplotlib
Module 8 – Hands-on Pandas for Rapid Visualization
  • Understanding the role of product management
  • Defining product vision & strategy
  • Identifying key stakeholders & managing expectations
Module 9 – Seaborn for Data Visualization
  • Seaborn Data Visualization Library – Introduction
  • Importing and setting up seaborn
  • Using Seaborn to plot different statistical charts
  • Adding details to seaborn charts using matplotlib

Term 3: EDA & Data Storytelling

Module 10 – Introduction to Exploratory Data Analysis
  • Introduction to Exploratory Data Analysis (EDA) steps
  • Purpose of EDA
  • Advantages of EDA
  • Applications of EDA
Module 11 – EDA Framework Deep Dive
  • Framework for Scientific Exploration
  • Case study: Perform EDA to explore survival using the Titanic dataset
  • Apply the EDA framework to a real-world dataset.
  • Generate insights and create a story around them.
Module 12 -Scientific Exploration of Industry Data – I & II 
  • Case study: Perform EDA to explore the Online Retail dataset 
  • Implement the EDA steps and framework in the retail domain. 
  • Case study: Analyze the mental health of IT professionals 
  • Implement the EDA steps and framework on healthcare in industries.
Module 13 – Student Presentations & Insight Delivery 
  • Student-hosted project delivery sessions. 
  • Sessions are coordinated by the instructor. 
  • Storytelling using generated insights. 
  • Best practices for Data Visualization and Insight Delivery.

Got questions? 

Reach out to our dedicated Learning Advisor at +91 96258 11095 and embark on an exciting journey. 

Download the brochure to dive into Data Science and Artificial Intelligence on ACCREDIAN. Step into the future, develop essential skills, and #LeadingTomorrow. 

Our video sessions and study materials guarantee the best learning experience for your success. 

Team ACCREDIAN is rooting for you all the way!

Let’s make your ambitions soar!

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