What You'll Learn
Six core competency areas — from business analysis fundamentals to Power BI dashboards
Business Analysis Fundamentals
Master stakeholder management, the BA lifecycle, and the difference between business and functional requirements.
FoundationPython for Business Data
Apply Python, NumPy and Pandas to collect, clean, and manipulate real business datasets.
Core SkillData Visualization & BI
Turn numbers into insight with Matplotlib, Seaborn, and core business intelligence techniques.
EssentialStatistics & Decision Making
Use central tendency, dispersion, and IQR analysis to make data-backed business calls.
In-DemandPredictive Analytics
Build regression and decision tree models to forecast trends and segment customers.
High ImpactPower BI Dashboards
Design ETL pipelines, DAX calculations, and AI-powered dashboards decision-makers actually use.
Career ReadyBuilt to Get You Hired in Business Analytics
A program that combines rigorous theory with hands-on practice — so you graduate with both a portfolio and a certificate.
This Business Analytics course covers the full journey from business analysis fundamentals to advanced analytics. You'll learn the role of a business analyst, stakeholder management, the BA lifecycle, and how to distinguish business vs functional requirements — along with hands-on Python skills for data collection and documentation, including BRD and FRD basics.
From there you'll progress through NumPy and Pandas for data manipulation, business statistics and decision making, predictive analytics with linear and logistic regression, decision trees, and neural network fundamentals. The course concludes with Power BI — ETL pipelines, DAX calculations, reports, dashboards, and AI-powered business intelligence.
Course Benefits
Course Curriculum
Four stages, thirteen modules, one pipeline to becoming a business analyst — click any module to expand
- Role of a Business Analyst & the BA lifecycle
- Stakeholder management
- Business vs functional requirements
- Lists, tuples, sets & dictionaries
- Files, directories & reading text files
- BRD & FRD basics
- If, elif & else conditions
- For & while loops
- Mapping business rules to logic
- Machine learning libraries overview
- NumPy hands-on
- Pandas hands-on
- Data manipulation
- Business reporting
- Extracting business insights
- Matplotlib hands-on
- Seaborn hands-on
- Measures of central tendency
- Measures of dispersion
- IQR statistics hands-on
- Classification vs regression
- Supervised vs unsupervised learning
- Linear regression & model fine-tuning
- Introduction to logistic regression
- Business applications
- Performance metrics
- EDA, missing values & outliers
- Scaling techniques
- Feature selection
- Decision trees & random forest
- Boosting & bagging
- Neural network fundamentals
- Power BI Desktop & ETL pipeline
- DAX calculations
- Reports, dashboards & AI features
Capstone Project · Dual Certification · Placement Ready
Every stage feeds into a portfolio-ready business analyst — backed by 8+ live projects and a performance-based LOR.
Your Dual Certificates
Two industry-recognized credentials awarded on successful completion
Why Choose This Course
Everything you need to go from curious learner to confident business analyst
Industry-Aligned Curriculum
A structured path from business analysis fundamentals to Python, machine learning, and Power BI.
Hands-On Projects
Build dashboards, run predictive models, and analyze real business datasets.
Dual Certification
Course Completion + Internship Certificate — two industry-recognized credentials in one program.
Mentor Support
Get guidance from experts in business analytics and data science, whenever you're stuck.
Live Sessions & LMS Access
Attend scheduled live sessions with lifetime access to course materials and recordings.
Career Support
Placement assistance and direct access to our network of analytics & BI professionals.
Requirements
- Basic numeracy and interest in data-driven decisions
- No prior analytics experience required — beginners welcome
- A computer with a stable internet connection
- Willingness to learn Python, NumPy, Pandas, and Power BI
Material Includes
- 35+ hours of video lectures
- Lifetime LMS access — revisit anytime
- Section quizzes & assessments
- Industry-based hands-on projects
- Certificate of Completion
- Internship Experience Certificate
Simple, Transparent Pricing
Pick the learning style that suits you best — both include dual certification and placement support