Course Curriculum

Comprehensive Course Curriculum

Our industry-aligned curriculum is designed by experts to help you master the most in-demand business analytics skills and prepare you for a successful career.

Business Foundations & Excel Analytics

This foundational module sets the tone for your entire Data Science journey. The goal is to ensure that every learner is confident in working with raw data—structuring it, cleaning it, transforming it, and deriving meaningful insights. You’ll begin with spreadsheet tools like Excel and Google Sheets, progress into structured querying with SQL, and learn to work with relational databases. From there, you’ll explore modern data visualization tools like Tableau and Power BI, which are critical for communicating data-driven findings.

What you'll learn:

Grasp core business metrics and their impact on decisions.
Analyze data using Excel formulas, pivot tables, and lookups.
Create dashboards to present insights clearly and effectively.

Business Metrics

Gain a thorough understanding of KPIs, ROI, and customer metrics, exploring how these insights shape strategic business decisions and enable smarter planning. Read More

Opportunities it opens

Excel for Analytics

Master essential Excel skills including formulas, pivot tables, lookups, and dynamic tools to analyze business data effectively and transform it into actionable insights. Read More

Opportunities it opens

Dashboarding in Excel

Learn to create executive-friendly dashboards that visually highlight data insights and trends, enabling stakeholders to understand complex metrics easily and quickly. Read More

Opportunities it opens

SQL for Business Analytics

Learn how to extract, filter, and join large datasets using SQL—the backbone of any data analyst’s toolkit. This module equips you with the skills to write efficient queries and generate reports from business databases like CRMs, ERPs, or customer transaction logs. You’ll develop the ability to draw insights from structured data, identify trends, and deliver fast, data-driven answers to business problems.

What you'll learn:

Write SQL queries to extract, filter, and analyze data from business databases.
Use joins, aggregates, and CTEs to answer complex business questions.
Solve real-world problems using sales, marketing, and finance datasets.

SQL Basics

Build a strong foundation in SQL by writing SELECT statements, applying filters, and retrieving valuable insights from structured datasets to support informed decisions. Read More

Opportunities it opens

Joins, Aggregates, CTEs

Gain expertise in combining data across tables using joins, aggregations, and advanced queries to solve complex analytical problems in sales, marketing, and finance domains. Read More

Opportunities it opens

Business Querying

Apply SQL skills to real-world scenarios, transforming data into meaningful insights that drive business growth and operational improvements across departments. Read More

Opportunities it opens

Data Visualization & BI Tools

Translate complex data into clear visuals using industry-leading tools like Tableau or Power BI. In this module, you’ll learn how to create meaningful dashboards that communicate key business findings to stakeholders and leadership. By the end, you’ll be ready to build interactive, professional reports that bring your analysis to life.

What you'll learn:

Create interactive charts and dashboards using Tableau or Power BI.
Design visual reports that clearly communicate business insights.
Track KPIs and build visuals that support strategic decision-making.

Tableau/Power BI Essentials

Understand the fundamentals of Tableau and Power BI to create interactive charts, maps, and dashboards that communicate trends, performance, and business opportunities effectively. Read More

Opportunities it opens

Dashboard Building

Design dashboards that are visually appealing and action-oriented, addressing key business questions and enabling stakeholders to make informed strategic decisions. Read More

Opportunities it opens

KPI Reporting

Track and visualize key business metrics in real-time to ensure strategic clarity and timely decision-making, allowing organizations to respond quickly to market changes. Read More

Opportunities it opens

Statistical Thinking & Business Decisions

Dive into the quantitative side of decision-making with core statistical concepts that power business analysis. You’ll learn how to draw conclusions from data, perform testing, and make recommendations backed by evidence. This module ensures you’re comfortable with statistical reasoning and capable of guiding business strategies with confidence..

What you'll learn:

Apply statistical methods to summarize data and draw business conclusions
Use hypothesis testing and A/B testing for evidence-based decisions.
Translate statistical results into clear business recommendations.

Descriptive & Inferential Stats

Summarize data distributions and apply inferential statistics to make reliable predictions and informed business decisions that reduce risk and improve planning accuracy. Read More

Opportunities it opens

Hypothesis Testing

Use hypothesis testing to validate assumptions and compare business scenarios with p-values and confidence intervals, ensuring strategies are backed by solid statistical evidence. Read More

Opportunities it opens

A/B Testing & Business Application

Design and execute A/B testing experiments to measure impact and optimize performance for conversions, pricing, and marketing strategies effectively. Read More

Opportunities it opens

Predictive Analytics & Forecasting

Move beyond descriptive analytics into predicting future outcomes. This module introduces regression and clustering models used to forecast trends, identify customer segments, and guide planning across domains like sales, inventory, and marketing. Through hands-on examples, you’ll learn how to use Python to build and evaluate models that power business foresight.

What you'll learn:

Build predictive models using regression and clustering techniques in Python.
Forecast key metrics like sales or demand using time-series methods.
Segment customers or products to drive personalized business strategies.

Regression Techniques

Model and forecast relationships between variables such as price, demand, and revenue using regression techniques to gain predictive insights and support strategic decisions. Read More

Opportunities it opens

Forecasting Models

Apply time-series forecasting models like ARIMA and exponential smoothing to accurately predict future business trends and improve planning across operations, finance, and marketing. Read More

Opportunities it opens

Segmentation & Clustering

Segment and cluster customers or products using unsupervised learning techniques to personalize marketing campaigns and optimize business strategies for targeted results. Read More

Opportunities it opens

Projects, Storytelling & Career Launch

Bring it all together with portfolio-ready projects that showcase your ability to solve real business challenges using analytics. You’ll also receive expert support to polish your resume, LinkedIn profile, and prepare for interviews with mock sessions. This module ensures you’re fully career-ready with confidence, clarity, and a standout portfolio.

What you'll learn:

Solve an end-to-end business problem using analytics tools and techniques.
Present actionable insights through a final project with dashboards and reports.
Get career-ready with expert guidance on interviews, resumes, and job applications.

Storytelling with Data

Present analytical insights with clarity, context, and persuasive storytelling to influence business decisions and ensure stakeholders understand and act on critical findings. Read More

Opportunities it opens

Business Case Projects

Work on end-to-end analytics projects that replicate real-world scenarios across industries, demonstrating practical problem-solving skills and building job-ready experience. Read More

Opportunities it opens

Resume & Interview Prep

Craft professional resumes, application materials, and practice for interviews with guidance from mentors, boosting confidence and ensuring readiness for analytics roles. Read More

Opportunities it opens

Business Analyst

What role does a Business Analyst play?

Business Analyst

Bridge the gap between business goals and data-driven decisions.

Data Analyst

Interpret and visualize data to extract actionable business insights.

Market Research Analyst

Analyze market trends, consumer behavior, and competitors.

Financial Analyst

Use data to forecast financial outcomes and optimize strategies.

Data Consultant

Advise businesses on leveraging data for process improvements.

Operations Analyst

Use performance data to streamline and improve operations.

Product Analyst

Evaluate product performance and user behavior through data.

Customer Insights Analyst

Analyze customer feedback and behavior for strategic decisions.

Proven 85% Placement Success Across Batches

International Placements

Learners placed in top global companies across UAE, UK, Canada, and more.

10+ Batches 500+ Learners

Transformed 5,000+ Careers

Empowering professionals and freshers to level up through skill-based learning.

110+ Batches 5K+ Learners

100+ Hiring Partners

Trusted by industry-leading recruiters and top-tier startups.

110+ Batches 5K+ Learners

Avg. Salary Hike of 70%

Learners have reported significant hikes post program completion.

1000+ Placements

Expert Faculties

Learn from experienced mentors with proven industry expertise

Ranjitha

Expertise:

Data Science & AI Trainer

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Postgraduate in computer science Certified AI & Machine Learning Professional Specialized training in Python, Machine Learning, Deep Learning and Natural Language Processing Proficient in MLPPS, Model Deployment, and Cloud Integration (AWS)

Jeevitha D S

Expertise:

Power BI, Tableau, SQL, Excel

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Jeevitha is a detail-oriented Principal Instructor – Data Science & AI with 5 years of experience delivering hands-on training in Machine Learning, Deep Learning, MLOps, and Generative AI.

Ravi Singh

Expertise:

Deep Learning & Computer Vision

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Arjun is a researcher turned instructor who specializes in computer vision projects such as image recognition and object detection. His sessions are hands-on, blending theory with projects like self-driving car simulations.

Simran Kaur

Expertise:

Business Analytics & Decision Sciences

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Simran has worked with Fortune 500 companies to solve strategic problems using analytics. She teaches statistical modeling, hypothesis testing, and decision-making frameworks with real case studies.

Dr. Vivek Iyer

Expertise:

Natural Language Processing (NLP)

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With a strong research background, Dr. Vivek has published multiple papers in NLP. He mentors learners on text mining, sentiment analysis, and building conversational AI systems.

Meera Joshi

Expertise:

Data Strategy & Analytics Consulting

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Meera brings 12+ years of corporate consulting experience, teaching how to align analytics with business goals. She emphasizes data storytelling and translating insights into executive-level decisions.

Karan Malhotra

Expertise:

Artificial Intelligence & MLOps

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Karan is an AI solutions architect, training students in production-level ML systems. He focuses on deploying, monitoring, and scaling ML models, bridging the gap between ML and DevOps.

Rahul Mehta

Expertise:

Data Visualization & BI Analytics

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Rahul is a certified BI professional with 10 years in analytics consulting. He helps learners convert raw data into actionable dashboards and KPIs, making him a go-to mentor for visualization enthusiasts.

Real-World Industry Projects

Apply Skills in Real-World Industry Projects

Sales Performance Dashboard

Build an interactive dashboard to monitor product-wise and region-wise sales performance. Help retail managers identify underperforming areas and optimize inventory.

Tools Used: Excel, Power BI/Tableau
Skills: Data Cleaning, Dashboarding, KPI Reporting
Sector: Retail

Marketing ROI Analysis

Analyze marketing channel performance to measure return on ad spend (ROAS) and customer acquisition cost (CAC). Recommend optimization strategies.

Tools: SQL, Excel, Power BI
Skills: SQL Analysis, ROI Metrics, Data Visualization
Sector: E-commerce

Loan Default Prediction

Use classification models to predict the likelihood of a customer defaulting on a loan using historical data. Aid financial institutions in credit risk assessment.

Tools: Python (Pandas, Scikit-learn), Excel
Skills: Classification, EDA, Model Evaluation
Sector: BFSI

Customer Retention Analytics

Identify churn patterns by analyzing usage data and customer feedback. Develop a churn prediction model and recommend strategies to improve retention.

Tools: Python, SQL, Tableau
Skills: Churn Modeling, Segmentation, Retention Strategy
Sector: SaaS

Revenue Forecasting

Build time-series models to forecast quarterly revenue for a logistics firm. Support budgeting and investment planning through predictive insights.

Tools: Python (ARIMA, Prophet), Excel
Skills: Forecasting, Time-Series Analysis, Business Planning
Sector: Logistics

HR Attrition Dashboard

Create an interactive dashboard to analyze employee attrition trends and risk factors. Present insights to HR teams for workforce planning.

Tools: Power BI, SQL
Skills: HR Analytics, KPI Visualization, Dashboarding
Sector: IT Services

Inventory Optimization Using ABC Analysis

Conduct ABC analysis to categorize inventory based on consumption value. Provide recommendations to minimize holding costs and optimize stock levels.

Tools: Excel, Python (Pandas), Tableau
Skills: ABC Classification, Inventory Management, Cost Optimization
Sector: Manufacturing

Pricing Strategy Simulation

Analyze customer demand and competitor pricing to simulate dynamic pricing strategies for a hotel chain. Maximize occupancy while ensuring profitability.