Business Analytics (MBA)

Data-driven decision making using descriptive, predictive and prescriptive analytics tools.

6 MonthsDuration 5Chapters27Topics

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Syllabus · पाठ्यक्रम

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01Unit 1: Introduction to Business Analytics 6 topics

Meaning, evolution and scope of business analytics
Data, information and decision making
Descriptive, predictive and prescriptive analytics
Business intelligence vs business analytics
Big data: volume, velocity, variety, veracity
Applications in marketing, finance, HR and operations

02Unit 2: Data Management & Descriptive Analytics 5 topics

Types of data: structured and unstructured
Data collection, cleaning and preparation
Measures of central tendency and dispersion
Data visualisation: charts, dashboards, pivot tables
Introduction to Excel, Power BI / Tableau

03Unit 3: Predictive Analytics 5 topics

Correlation analysis
Simple and multiple linear regression
R-squared and interpretation of coefficients
Time-series forecasting: moving average, exponential smoothing
Logistic regression basics

04Unit 4: Data Mining & Machine Learning Basics 6 topics

Data mining process (CRISP-DM)
Classification: decision tree, k-nearest neighbours
Clustering: k-means
Association rules: support, confidence, lift
Model evaluation: confusion matrix, accuracy, precision, recall
Overfitting and train-test split

05Unit 5: Prescriptive Analytics 5 topics

Optimisation and linear programming formulation
Graphical solution and Excel Solver
What-if analysis and scenario analysis
Simulation basics (Monte Carlo)
Ethics and privacy in analytics

About

You will be able to

Explain descriptive, predictive and prescriptive analytics and their business uses
Clean, summarise and visualise business data in Excel / a BI tool
Build and interpret simple and multiple linear regression models
Use basic classification and clustering ideas and read a confusion matrix
Formulate and solve simple optimisation (linear programming) problems
Present data-driven recommendations to managers

Who it is for

MBA students of Semester 2 (AKTU) - Finance, Human Resource, Marketing specialisations
Students who want analyst roles in marketing, finance or HR analytics

What you need

Graduation in any discipline (MBA admission)
Business statistics basics and working knowledge of MS Excel

Questions

Which syllabus is followed?

The AKTU (Dr. A.P.J. Abdul Kalam Technical University, Lucknow) MBA syllabus of Business Analytics (Semester 2). If your own university's syllabus differs, the centre follows your university syllabus and units.

Is coding compulsory?

No. The course is taught mainly in Excel with an introduction to Power BI; simple Python / R examples are shown where your university syllabus asks for them.

How will I be tested?

Unit-wise MCQ tests and a final paper at semester level, plus practice on short and long answer questions from previous university papers.