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Road to Business Analytics

Instructor led best course for MBA students to learn statistical modeling and Business analytics. Get hands on experience in customer segmentation, marketing mix models, demand forecasting and so.

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4.7

Rating

60 Hrs

Duration

Beginner

Level

55

Assignments

What you'll learn

Learn how to apply analytics and statistical modeling in business operation.
Will get real case studies on customer analytics and marketing analytics.
Hands on experience on Generative AI and its application in marketing strategies.
Also basic overview on python programming and its use in data analysis, visualization.

Who should take this course

This course is targeted at BBA and MBA graduates.
Also anyone working in Marketing, sales or any business operation.
Anyone who wants to make career in business analytics.

Skills you'll gain

Data analysis
Data visualization
Descriptive statistics
Inferential statistics
Statistical modeling
Customer analytics
Marketing analytics
Generative AI
Basic Machine learning
Basic python programming
Basic R programming

Course contents

Overview
Benefits
Application areas

Overview
Descriptive statistics concepts
Simple to advance data visualization techniques
Case study on KPI reports

Overview
Inferential statistics concepts
Case study on KPI reports
Case study on anomaly detection

Overview
Regression and Classification concepts
Case study: Customer Life time value analysis
Time series forecasting concepts
Case Study: Stock price forecasting

Limitation of statistical modeling
Supervised Learning concepts
Unsupervised learning concepts

Overview
Case study on Market basket analysis and Product recommendation

Overview
Case study: Using RFM technique
Case study: Using clustering technique

Overview
Case study: Using classification technique

Overview
Case study: Using classification technique

Overview
Case study: Using Regression technique

Overview
Case study: Using ARIMA model

Prompt engineering
Case study: Use of Gen AI in Marketing and Sales

Data types and variable
Operators
Conditional Statements and Loops
User defined function
Data exploration and visualization libraries
Statistical analysis and modeling libraries

Python for Beginners

This course will make any individual proficient in python coding. It includes data structure, conditional looping, functions, class, file handling, Regex, visualization and Vibe coding.

Machine Learning for beginners

This course includes Descriptive statistics, Inferential statistics, Supervised learning, Unsupervised learning, Model evaluation and Time series forecasting.

Road to Data Scientist

This is a combo course to become an expert data scientist. It includes Python programming, Machine learning, Natural language processing and Deep learning courses.