Are you ready to embark on an extraordinary journey that will unlock the potential of data-driven decision-making and propel your career to new heights?
Welcome to the cutting-edge Executive Program in Data Science & Business Analytics, brought to you by the prestigious E&ICT Academy, IIT Guwahati in an exciting partnership with Accredian!
In this revolutionary program, you’ll delve into the fascinating world of data science, exploring the art of extracting valuable insights from vast datasets. Armed with the latest tools and techniques, you’ll master the art of business analytics, transforming complex data into strategic opportunities.
Under the expert guidance of industry-leading expertise of Accredian, you’ll be equipped with the skills to navigate the rapidly evolving landscape of data-driven industries.
Get ready to take on real-world challenges, collaborate with like-minded professionals, and unlock the true potential of data science for business growth.
Whether you’re a seasoned professional seeking to upskill or a visionary entrepreneur ready to revolutionize your business, this program is your gateway to success.
Don’t miss this exceptional opportunity to join the ranks of data pioneers and lead your organization into a future of limitless possibilities.
So, are you ready to become a data-driven trailblazer?
The journey begins here at E&ICT Academy, IIT Guwahati’s Executive Program in Data Science & Business Analytics in partnership with Accredian. Buckle up and get ready to redefine the future with the power of data!
Program Highlights
The Program is exclusively curated for software professionals, consultants, tech leads, data analysts, marketing & sales professionals, project managers, business analysts, engineers, and mid-career professionals.
- Certification: Give your resume the IIT edge
- 11 Months: Weekend Classes
- 160+ Hours: Intensive training
- 10+ Tools & Frameworks
- 8 Career Assistance Sessions
Program Syllabus
Term 1: Data Analysis with Python
- Module 1 – Data Science Fundamentals
- Module 2 – Recap: Python for Data Science
- Module 3 – Recap: Statistics for Data Science
- Module 4 – Data Operations with Numpy
- Module 5 – Data Manipulation with Pandas
Term 2: Data Visualization Techniques
- Module 6 – Introduction to Data Visualization
- Module 7 – Data Visualization using Matplotlib
- Module 8 – Hands-on Pandas for Rapid Visualization
- Module 9 – Seaborn for Data Visualization
Term 3: EDA & Data Storytelling
- Module 10 – Introduction to Exploratory Data Analysis
- Module 11 – EDA Framework Deep Dive
- Module 12 -Scientific Exploration of Industry Data – I & II
- Module 13 – Student Presentations & Insight Delivery
Term 4: Machine Learning Foundation
- Module 14 -Introduction to Machine Learning (ML)
- Module 15 – Linear Regression
- Module 16 – Logistic Regression
- Module 17 – Model Evaluation Techniques
Term 5: Machine Learning Intermediate
- Module 18 – Decision Trees
- Module 19 – Random Forests
- Module 20 – Dimensionality Reduction using PCA
- Module 21 – Naïve Bayes Classifier
Term 6: Machine Learning Advanced
- Module 22 – KNN (K- Nearest neighbors)
- Module 23 – K-means Clustering
- Module 24 – Ensemble Learning
- Module 25 – Optimization
Term 7: Foundation of Business Analytics
- Module 26 – Introduction to Business Analytics
- Module 27 – Data Analytics Fundamentals for Business Analysts
- Module 28 – Advanced Business Statistics
- Module 29 – Advanced Business Statistics
Term 8: Excel Mastery for Business Insights
- Module 30 – Excel Fundamentals for Business Analysis
- Module 31 – Excel Functions & Conditions
- Module 32 – Excel Pivot Tables & Reporting
- Module 33 – Excel Modelling
Term 9: SQL Essentials for Business Intelligence
- Module 34 – Database Basics for Analysts
- Module 35 – SQL Fundamentals for Business Analysis
- Module 36 – SQL Operations
- Module 37 – Advanced SQL
Term 10: Business Analytics with Power BI
- Module 38 – Power BI for Business Reporting
- Module 39 – Connecting Data Sources
- Module 40 – Data Modelling in Power BI
- Module 41 – Functions in Power BI
- Module 42 – Basics of Report Building
Term 11: Applied Industry Analytics: Case Studies
- Module 43 – Business Analytics in BFSI
- Module 44 – Marketing & Telecom Analytics
- Module 45 – Healthcare & Manufacturing Analytics
- Module 46 – E-Commerce & Supply Chain Analytics
Application Process
- Apply at imi.accredian.com
- IMI will Review Your Application.
- Selected Candidates will receive Admission Letter.
- Complete your Enrolment by Paying Program Fee.
Related Resources
Click for Program Brochure here.
Do you have any questions?
Reach out to us at [email protected]
Talk to our Program Mentor at +91 70631 19228
