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.
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