Executive Program in Business Analytics
- 4.5/5 (1500+ Student's Ratings)
At ScaleUp, we’ve built our Post Graduate Program in Business Analysis with one goal in mind—helping you become the kind of professional companies rely on to make smart, data-driven decisions. Designed by top industry experts, this program gives you the practical tools, real-world techniques, and critical thinking skills you need to turn business data into clear insights. Whether you’re aiming for a role in business, tech, or finance, you’ll be ready to step in, solve problems, and make an impact from day one.
Next Cohort
This Week
Duration
6 Months . Online
20+
Freelance Projects
Eligibility
Freshers, Experienced
What You’ll Get with the ScaleUp Experience
Our Post Graduate Program in Data Science & AI is designed to give you more than just knowledge—it gives you the edge to thrive in the real world. With hands-on learning, expert guidance, and career-focused support, here’s everything that comes with the program:
- 1:1 Doubt Clearing Session
- Live Hackathons
- Lifetime Career Support
- Webinars And Workshops
- Extensive Course Materials
- 250+ 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
Hiring Partners
Languages and Tools Covered
Course Curriculum
Our curriculum is designed to make you job-ready from day one. You’ll learn essential tools like Python, SQL, and Excel—skills every data professional needs. From writing clean code and automating tasks to mastering pivots, lookups, and queries, you’ll gain the confidence to handle real data challenges. We’ll also cover key statistical concepts like regression, correlation, distributions, and eigenvalues, helping you not just understand the math, but apply it to real-world problems. Every concept is tied to practical business use—so you’re not just learning, you’re preparing to perform.
- 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
Projects
Fraud Detection
Analyze transaction data to detect fraudulent activities, developing algorithms to flag suspicious transactions and prevent financial losses.
Skills Needed →
Customer Segmentation
Segment customers based on demographics, behavior, or purchasing patterns to enable targeted marketing and personalized business offerings.
Skills Needed →
Sentiment Analysis
Analyze customer reviews, social media posts, or survey responses to gauge sentiment, providing insights into customer satisfaction and improvement areas.
Skills Needed →
Churn Analysis
Identify factors causing customer attrition and develop predictive models to forecast which customers are at risk of leaving.
Skills Needed →
Supply Chain Optimization
Analyze supply chain data to identify inefficiencies, optimize inventory levels, and improve logistics processes to reduce costs and streamline operations.
Skills Needed →
Energy Consumption Forecasting
Use historical energy consumption data to predict future demand, helping energy companies plan resources and optimize distribution.
Skills Needed →
Healthcare Analytics
Analyze patient data, medical records, or clinical trial data to identify trends, diagnose diseases, and predict outcomes for better healthcare delivery.
Skills Needed →
Traffic Analysis and Optimization
Analyze traffic flow data to detect congestion hotspots, optimize signal timings, and plan infrastructure improvements for better urban traffic management.
Skills Needed →
Let’s talk about your goals.
Book a free call with one of our experts.
Frequently Asked Questions (FAQ)
ScaleUp offers skill-focused programs in Data Science, AI, Cybersecurity, Business Analytics, and more — all built to help you grow in today’s digital-first world.
Yes. Whether you’re just starting out or switching careers, our courses are designed to guide you step by step — no prior experience needed.
Definitely. Every program includes practical projects, case studies, and challenges that help you apply your skills in real-life scenarios.
You’ll learn from seasoned industry professionals — people who’ve worked in top companies and bring real-world experience into every session.
Yes, we do. You’ll get help with resume building, job hunting strategies, interview prep, and even referrals through our career support team.
Of course. You’ll retain access to all your learning materials, so you can revisit lessons or refresh your knowledge anytime you need.
Yes. You’ll earn an industry-recognized certificate from ScaleUp.
Yes. You can learn at your own pace, with access to both live sessions and recorded content — designed to fit around your schedule.
You’ll have access to mentors, doubt-solving sessions, discussion forums, and personal learning assistants to help you stay on track.
Absolutely. You’ll join a vibrant group of peers, mentors, and alumni — a space to ask questions, share progress, and grow together.