- Popular
MBA in
BUSINESS ANALYTICS
- 4.5/5 (1500+ Student's Ratings)
In Collaboration with
In collaboration with Birchwood University and Euro-American Education, our Post Graduate Program in Business analytics offers cutting-edge knowledge and hands-on experience, preparing students for successful careers in these dynamic fields.
Next Cohort
This Week
Duration
18 Months . Online
50+
Freelance Projects
Eligibility
Graduates, Experienced
What Our Program Offers?
Our Data Science program equips you with industry-ready skills through advanced tools and expert support.
- 1:1 Doubt Clearing Session
- Live Hackathons
- Lifetime Career Support
- Webinars And Workshops
- No Cost EMI Option
- 218 Hours of Self Paced Learning
- 400+ Hours of Live classes
- Industry Expert Mentors
- 360° Placement Assistance
- 24/7 Student Support
- Personalized Learning Paths
- Regular Assessments
- Progress Tracking
- Networking Opportunities
- Flexible Learning Schedules
- Strong Alumni Network
- Interview Preparation
- Certification Programs
- Interactive Learning Platform
- Real World Projects
Course Curriculum
This program is designed to equip you with the essential knowledge and skills in Business Analytics by covering core areas like data analysis, visualization, and statistical techniques along with SQL. This will cover the basic concepts of business intelligence, as well as more advanced analytics methods. Subsequently, you will learn how decisions can be made using data, predictive analytics, and dashboards. The program makes sure you get hands-on skill-building in tools like Excel, Power BI, Tableau, and Python to ensure data analytics is used in real business environments.
- Modules
Excel for Data Analytics
Excel Essentials & Core Functions
- Understand cell referencing and core formulas
- Format data, handle dates/text, and use shortcuts
- Learn basic data validation and error handling
Logic, Lookup & Data Cleaning
- Master IF, AND, OR, VLOOKUP, INDEX-MATCH, XLOOKUP
- Clean data using Power Query tools and conditional formatting
- Handle duplicates, missing data, and errors effectively
Pivot Tables & Advanced Power Query Scenario Management
- Build pivot tables, slicers, and perform drill-downs
- Use Power Query for joins, grouping, unpivoting
- Automate parameter-based transformations
Dashboards, Reporting & What-If Analysis and Forecasting
- Create interactive dashboards with charts and slicers
- Use Goal Seek, Solver, and Scenario Manager
- Build basic forecasts and protected dynamic reports
Power BI for Business Intelligence
Data Loading, Transformation & Modeling (Power Query + DAX Basics)
- Connect and transform data in Power Query
- Understand relationships, star schema, and calendar tables
- Write DAX formulas, use Time Intelligence functions
Data Visualization, Interactivity & Cloud Publishing
- Build interactive reports with filters, tooltips, bookmarks
- Design best-practice layouts and dashboards
- Publish to Power BI Service and schedule data refresh
Tableau Data Visualization
Tableau Foundations & Interface Mastery
- Learn Tableau’s UI, dimensions vs measures, and basic charts
- Work with filters, aliases, hierarchies
- Connect data and understand metadata
Interactivity, Dashboards & Maps
- Create dynamic dashboards and maps with actions
- Use parameters, sets, calculated fields
- Export visuals and design with best practices
Advanced SQL Techniques
SQL Foundations & Basic Data Manipulation
- Learn core SQL syntax (SELECT, INSERT, UPDATE, DELETE)
- Understand data types, NULL, and RDBMS concepts
- Perform basic queries and aggregations
Filtering, Aggregations & Joins
- Use GROUP BY, HAVING, and multi-table joins
- Apply filtering, subqueries, and aliases
- Write nested queries for advanced reports
Window Functions & Advanced Queries
- Master CTEs, CASE, ROW_NUMBER, LAG, etc.
- Perform analytics like cohort analysis, running totals
- Use UNION, INTERSECT, and EXCEPT
Data Modeling, SQL in Python & Optimization Essentials
- Normalize schemas, use views/indexes
- Integrate SQL in Python using sqlite3/pandas
- Understand JSON, triggers, and stored procedures
Statistics & Hypothesis Testing
Statistical Thinking & Descriptive Analytics
- Analyze central tendency, dispersion, and distributions
- Use histograms, boxplots, and scatterplots
- Detect outliers and standardize data
Sampling, Probability & Inferential Statistics
- Apply sampling techniques and CLT
- Understand distributions and conditional probability
- Build confidence intervals and calculate margins of error
Hypothesis Testing & Business Decision-Making
- Perform T-Tests, Z-Tests, Chi-Square, and ANOVA
- Design A/B tests and interpret p-values
- Avoid common errors (Type I/II)
Python Programming
Python Essentials & Core Logic
- Learn syntax, variables, data types
- Use conditionals and boolean logic
- Work with lists, sets, dictionaries
Functions, Comprehensions & Object-Oriented Design
- Write functions, lambdas, and list comprehensions
- Handle files and exceptions
- Understand OOP: classes, inheritance
File Handling, OOPs & External Integration
- Automate file exports (CSV, Excel)
- Parse JSON/APIs and use functional tools
- Apply object-oriented design in scripts
Data Understanding
Data Wrangling with Pandas & NumPy
- Use NumPy arrays and Pandas DataFrames
- Filter, group, merge, and join datasets
- Create pivot tables and aggregations
Data Cleaning, Feature Formatting & Date Handling
- Handle missing data and format strings
- Parse and filter datetime values
- Optimize memory and export clean data
Data Profiling, EDA & Visualization Basics
- Conduct EDA and use profiling tools
- Plot data using Matplotlib and Seaborn
- Customize and export visual reports
Machine Learning
Regression Algorithms & Evaluation
- Build linear/polynomial models
- Train-test split and preprocessing
- Evaluate with MAE, RMSE, R²
Classification Techniques
- Train Logistic Regression, KNN, SVM, Naive Bayes
- Use Decision Trees and Random Forests
- Evaluate using confusion matrix and F1
Model Validation & Optimization
- Prevent overfitting with cross-validation
- Tune models with GridSearch
- Use ROC-AUC for classification performance
Clustering & Association
- Apply K-Means, DBSCAN, Hierarchical clustering
- Discover patterns using Apriori rules
- Analyze results using Support, Confidence, Lift
Text & Image Data Basics (NLP + CV)
- Process text using tokenization, TF-IDF
- Perform sentiment analysis
- Preprocess and classify images
- Soft Skills Program
Technical skillset and your soft skills combine to make you employable. In order to make our learners employable, dedicatedly placement-oriented sessions are conducted while highlighting the use of Github, Linkedin, and other tools during the job search.
- Resume Building
- Communication Skills
- Interview Preparation
- Time Management
- HR Round Guidance
- E-mail Writing
- Personality Development
- Emotional Intelligence
- Conflict Management
- Salary Negotiation
- Creativity
- Get Degree
Post Graduate Program in Business analytics
6 Months . Online-
100% Secure Transactions
-
Multiple Payment Options
-
24/7 Payment Support
-
EMI Option Available
Languages and Tools Covered
Hiring Partners
Meet our inGraders
-
400+
Global Companies Hiring -
6 LPA
Average CTC -
34 LPA
Highest CTC -
80%
Average Salary Hike
Learning is better with Ingrade
- Launch your career in Data Science today
- Earn up to ₹ 40 LPA at leading companies
- For college students, graduates & working professionals
👋 Connect with our Experts for Counselling Session
Frequently Asked Questions
What are Business Analytics, and why do businesses need it?
Business analytics is the term used to describe the process of taking data in for making business decisions. Organizations leverage business analytics to optimize operations, predict the future, or make strategic decisions on data.
Who should enroll in this course?
This is ideal for any interested party who wishes to appreciate data-driven decision making, including, but not limited to, students, working professionals, and business owners. There is no need for any kind of technical background, and basic analytical skills could come in handy
What skills will I be able to take out of this course?
Master data analysis, SQL, Excel, visualization using Power BI and Tableau, predictive analytics, and statistical modeling. Additionally, you will learn the best practices on how to apply these skills towards solving real business problems.
Which tools and software will I learn about in this program?
The tools that will be covered are in this list: Excel, SQL, Power BI, Tableau, Python, and R. Also, you will learn about business intelligence and advanced analytics tools: SPSS and Alteryx.
Do I have to know something beforehand in order to join the program?
No strict prerequisites. In any case, it would be great if one has a minimal understanding of what Excel looks like and what statistics are. All the essential ideas will be discussed from A to Z, though.
How is the program structured?
The program includes interactive lectures, hands-on projects, and case studies. You’ll also work on real-world data sets to develop practical business analytics skills. Each module covers a different tool or method essential for business analytics.
What sort of projects do I work on?
Work on projects regarding data cleaning, analysis, visualization, business dashboards, predictive analytics, and reporting. All of these projects will demonstrate real business problems.
What Jobs can I get after completing the program?
Graduates can apply for various job roles: Business Analyst, Data Analyst, Risk Analyst, Operations Analyst, and more. The skills will prepare you for data-centric positions in multiple sectors.
Is there any certification issued at the end of the course?
Yes. At the end of this program, if you have completed it successfully, you’ll receive a certificate in Business Analytics from InGrade. Industry leaders perceive this as a proof of professional capability.
Will I be offered placements after completion?
Yes. Placement support at InGrade includes mock interviews, resume-building workshops, and job placement with leading organizations.
