- 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: Basic to Advanced
- Introduction to Excel
- Arithmetic Operators
- Basic Formulas and Functions
- Sorting & Filtering
- Statistical and Mathematical Functions
- Conditional Formatting
- Lookup, Index & Match Functions
- Logical & Text Functions
- Pivot Tables and Charts
- Data Cleaning Techniques
- What-if Analysis & Scenario Management
- Dashboards & Charts
- Regression & Forecasting
SQL
- Introduction to SQL and Databases
- Basic Queries (SELECT, WHERE)
- Data Filtering & Sorting
- Aggregations (COUNT, SUM, AVG, etc.)
- Joins (Inner, Outer, Left, Right)
- Subqueries & Views
- Data Manipulation & Functions
- Database Optimization
Power BI
- Introduction to Power BI Interface
- Data Import and Transformation
- Creating Visualizations
- DAX Basics (Data Analysis Expressions)
- Building & Publishing Dashboards
- Power BI Service & Reports
Tableau
- Introduction to Tableau
- Basic Charts & Graphs
- Filters, Parameters & Calculated Fields
- Dashboards & Storytelling
- Publishing and Sharing Dashboards
Python
- Introduction to Python Programming
- Data Manipulation with Pandas
- Data Visualization (Matplotlib & Seaborn)
- Exploratory Data Analysis (EDA)
- Basic Machine Learning (Linear Regression, Classification)
R Programming
- Introduction to R Programming
- Data Wrangling (dplyr, tidyr)
- Data Visualization (ggplot2)
- Basic Statistical Analysis in R
- Classification Models
Data Analysis Techniques
- Exploratory Data Analysis (EDA)
- Descriptive Statistics
- Regression & Correlation Analysis
- Time Series Analysis
- SWOT & PEST Analysis
Statistics & Hypothesis Testing
- Descriptive vs. Inferential Statistics
- Probability Distributions
- Confidence Intervals & Error Margins
- Hypothesis Testing (t-tests, Chi-Square, ANOVA)
- P-values and Significance Testing
Machine Learning
- Supervised Learning (Regression, Classification)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Decision Trees, Random Forests, Gradient Boosting
- Model Evaluation & Cross-Validation
- Hyperparameter Tuning & Optimization
Advanced Data Tools
- SAS, SPSS, Alteryx
- Google Analytics & BigQuery
- KNIME
Advanced Machine Learning Techniques
- Ensemble Learning (Bagging, Boosting)
- Support Vector Machines (SVMs
- Anomaly Detection Techniques
- AutoML
Big Data Analytics
- Introduction to Big Data (Hadoop, Spark)
- Scalable Machine Learning
- Data Streaming & Real-Time Analytics
AI and Automation in Business Analytics
- Automated Machine Learning (AutoML)
- Robotic Process Automation (RPA)
- AI for Decision Making
- Ethical Considerations in AI
Ethics in Business Analytics
- Data Privacy & Security
- Bias in Machine Learning & A
- Regulatory Frameworks (GDPR, CCPA)
- 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 Certification
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.
