Executive Program in
Business Analytics

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.

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Next Cohort

This Week

Duration

6 Months . Online

06 Months

Live Internship

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:

What You’ll Learn

This program goes beyond basic analysis—you’ll learn how to turn data into actionable insights that drive business success. You’ll discover how leading organizations leverage analytics to optimize operations, improve customer experiences, and boost performance. Throughout the program, you’ll build in-demand skills in:

insight
Data-driven decision making
presentation
Predictive and prescriptive analytics
decision-making
Data visualization and storytelling
assertiveness
Tools like Excel, SQL, Tableau, and Python

Languages and Tools Covered

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.

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
  • 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
  • Introduction to Power BI Interface
  • Data Import and Transformation
  • Creating Visualizations
  • DAX Basics (Data Analysis Expressions)
  • Building & Publishing Dashboards
  • Power BI Service & Reports
  • Introduction to Tableau
  • Basic Charts & Graphs
  • Filters, Parameters & Calculated Fields
  • Dashboards & Storytelling
  • Publishing and Sharing Dashboards
  • Introduction to Python Programming
  • Data Manipulation with Pandas
  • Data Visualization (Matplotlib & Seaborn)
  • Exploratory Data Analysis (EDA)
  • Basic Machine Learning (Linear Regression, Classification)
  • Introduction to R Programming
  • Data Wrangling (dplyr, tidyr)
  • Data Visualization (ggplot2)
  • Basic Statistical Analysis in R
  • Classification Models
  • Exploratory Data Analysis (EDA)
  • Descriptive Statistics
  • Regression & Correlation Analysis
  • Time Series Analysis
  • SWOT & PEST Analysis
  • Descriptive vs. Inferential Statistics
  • Probability Distributions
  • Confidence Intervals & Error Margins
  • Hypothesis Testing (t-tests, Chi-Square, ANOVA)
  • P-values and Significance Testing
  • Supervised Learning (Regression, Classification)
  • Unsupervised Learning (Clustering, Dimensionality Reduction)
  • Decision Trees, Random Forests, Gradient Boosting
  • Model Evaluation & Cross-Validation
  • Hyperparameter Tuning & Optimization
  • SAS, SPSS, Alteryx
  • Google Analytics & BigQuery
  • KNIME
  • Ensemble Learning (Bagging, Boosting)
  • Support Vector Machines (SVMs
  • Anomaly Detection Techniques
  • AutoML
  • Introduction to Big Data (Hadoop, Spark)
  • Scalable Machine Learning
  • Data Streaming & Real-Time Analytics
  • Automated Machine Learning (AutoML)
  • Robotic Process Automation (RPA)
  • AI for Decision Making
  • Ethical Considerations in AI
  • Data Privacy & Security
  • Bias in Machine Learning & A
  • Regulatory Frameworks (GDPR, CCPA)

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.