Business Analytics

Hybrid Mode | 2 Months | Basic Certification
₹47,200.00 (Inc. GST)

Category: Data Sciences

This Business Analytics course is designed to equip engineering, management, and data-curious students with practical analytical skills to derive insights from data and apply machine learning in real business scenarios. This program combines core statistics, predictive modeling, and hands-on projects using tools like Excel and Python. The course does not require any prior coding knowledge and is beginner-friendly.

Course Details:

Course Type : Hybrid
Duration : 2 Months
Course Start Date: 9th August
Skill Level : Beginner
Prerequisites: None
Certificate : Yes

Outcome Expected:

Understand and apply core statistical and analytical concepts in real-world business contexts.
Perform data cleaning, visualization, and exploratory data analysis using Excel or Python.
Build predictive models using regression, classification, and clustering techniques.
Apply basic Natural Language Processing (NLP) for analyzing customer feedback and text data.
Complete a capstone project demonstrating end-to-end analytics with business interpretation.

Target Audience:

Undergraduate/Postgraduate Engineering students
MBA and Management students
Aspiring Data Analysts or Business Intelligence professionals
Open to all backgrounds – no coding knowledge required

Key Features:

Campus Immersion Program (CIP)*
Hands-on Mini Projects & Final Capstone
Certificate from E&ICT Academy – IIT Kanpur
Mentorship & Peer Learning

Note: An additional fee will apply for student accommodation during the 3-day Campus Immersion.

Additional information

Centre for Summer Training	Hybrid Mode (Online Live + CIP), Online Live

Curriculum

Module 1: Python Refresher

Python Basics
Variables and Data Types
Data Structures (Lists, Tuples, Dictionaries, Sets, String Manipulation)
Control Flow
Functions and Modules
File Handling
Introduction to key libraries (NumPy, Pandas, Matplotlib)

Module 2: Introduction to Analytics & Business Relevance

Importance of predictive analytics in today’s data-driven world
Real business cases and applications
Role of EDA (Exploratory Data Analysis) and data preparation

Module 3: Exploratory Data Analysis & Statistical Foundations

Descriptive statistics (mean, median, mode, variance)
Data cleaning techniques
Data visualization using Python or Excel
Statistical inference and hypothesis testing

Module 4: Regression Models for Prediction

Linear regression: assumptions and diagnostics
Multiple linear regression and use cases
Hands-on mini project

Module 5: Classification Models & Business Use Cases

Logistic regression (binary & multinomial)
Classification trees and Naïve Bayes
Business case examples: Customer churn or loan approval

Module 6: Machine Learning Techniques in Business

Introduction to Support Vector Machines
Clustering: K-Means and business applications
Classification vs regression problems
Evaluation metrics: accuracy, precision, recall, etc.

Module 7: Applied Text Analytics & Capstone

Introduction to text analytics
Simple NLP for customer feedback and reviews
Peer + mentor feedback session

Module 8: Applications of AI in Industry

Real-world AI use cases
Image manipulation
Final group project: Predictive modeling with business insights

Module 9: Capstone Project

End-to-end analytics workflow application on real-world dataset
Final project presentation and evaluation

Enquiry

Instructor Profile

Name: Prof. Saurabh Agarwal

About:

He holds both undergraduate and postgraduate degrees from IIT Kanpur and IIT Delhi. Currently affiliated with HBTU Kanpur, Great Lakes, AIMA New Delhi, and NMIMS Mumbai, he serves as a consultant for IBM and UNESCO in Business Analytics. He has published a paper on integrating alternate payment channels, presented at The Fourth International Conference on Payment Channels organized by Banknet India, Mumbai. His interests include Data Mining, Data Analysis, Business Analytics, Structural Equation Modeling, and Multivariate Analysis, utilizing platforms like R, Python, SPSS, Amos, Modeler, and IBM Watson Analytics. He has conducted international workshops for organizations such as Saudi Aramco, Kiatanin Bank, and the Ministry of Road Transport in Abu Dhabi, along with prominent domestic trainings at AIMA, Symbiosis University, and IIT Kharagpur, among others.

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