Master business analytics skills with guidance from industry experts and secure your career with our PG Business Analytics Job Guarantee Program. Gain hands-on experience in data-driven decision-making and advanced analytics tools. Get placed confidently or receive your money back—your success is our commitment.
12 Months
Online Live
100% Guaranteed
Master the practical application of Business Analytics and AI to transform data into actionable insights that drive strategic decisions. This 100% Job Guarantee program is tailored for fresh graduates and working professionals ready to launch a rewarding career in analytics and data-driven business solutions. Gain hands-on experience with advanced analytics tools, machine learning models, and real-world business cases. Prepare to excel in roles like Business Analyst, Data Analyst, Analytics Consultant, and more—with comprehensive project work and dedicated placement support.
Comprehensive curriculum covering Python, Machine Learning, Deep Learning, NLP, and Big Data technologies.
Get placed in a data science role within 6 months of graduation or receive a full refund of your program fee.
Learn from top industry experts through interactive live sessions with real-time doubt resolution.
Personalized guidance from industry mentors to help you navigate your learning journey effectively.
Resume building, interview preparation, and exclusive access to job opportunities with top companies.
Work on real-world projects to build a strong portfolio that showcases your data science expertise.
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.
Build a solid grounding in core business concepts and how data supports decision-making. This module introduces you to key business metrics and the role of analytics in driving growth, profit, and performance. You’ll also dive into Excel—one of the most versatile tools in business analytics—to manipulate datasets, run calculations, and summarize trends. By the end of this module, you’ll be comfortable using Excel to create dashboards and perform analytical tasks. These are essential skills for any analyst working with non-technical teams or decision-makers.
Understand KPIs, ROI, customer metrics, and how they influence strategic business decisions.
Learn formulas, pivot tables, lookups, and dynamic tools to analyze business data effectively.
Create executive-friendly dashboards to visually represent data insights and trends.
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.
Learn to write SELECT statements, apply filters, and retrieve insights from tables.
Master combining data across tables, using aggregations, and writing advanced queries.
Solve real-world business questions using SQL on sales, marketing, and finance datasets.
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.
Learn the fundamentals of creating charts, maps, and interactive visuals in top BI tools.
Design clear and action-oriented dashboards that answer business questions.
Track and visualize key business metrics in real-time for strategic insights.
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.
Summarize data distributions and make predictions using statistical inference.
Test assumptions and compare business scenarios using p-values and confidence intervals.
Design experiments to measure impact and optimize performance, such as conversions or pricing.
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.
Model and forecast relationships between variables like price, demand, or revenue.
Predict future business metrics using time-series tools like ARIMA and exponential smoothing.
Group customers or products using unsupervised learning to personalize strategies.
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.
Present insights with clarity and context to influence business decisions.
Work on end-to-end analytics projects solving real-world scenarios across industries.
Craft job-winning application materials and practice for analytics roles with mentors.
Program Intro & Skill Gap Assessment
Excel, Statistics, Business Concepts
SQL, Python Basics, Data Wrangling
Power BI, Tableau, Dashboarding
Regression, Classification, Forecasting
Marketing, Finance & HR Analytics
Real-World Business Problem + Review
Mock Interviews, Resume, LinkedIn
Land a Business Analytics Role
Understand key business metrics and learn to use Excel for analytics and dashboarding.
Extract, filter, and join large datasets using SQL to solve real business problems.
Create dashboards and visual reports with Tableau or Power BI for business decision-making.
Apply statistical methods and A/B testing to drive evidence-based business insights.
Use regression, clustering, and time-series models in Python to forecast and segment.
Work on a real-world analytics project using end-to-end tools and techniques learned.
Get placement support with resume building, mock interviews, and job preparation.
Land a high-impact job in Business Analytics or get your money back—guaranteed.
Bridge the gap between business goals and data-driven decisions.
Interpret and visualize data to extract actionable business insights.
Analyze market trends, consumer behavior, and competitors.
Use data to forecast financial outcomes and optimize strategies.
Advise businesses on leveraging data for process improvements.
Use performance data to streamline and improve operations.
Evaluate product performance and user behavior through data.
Analyze customer feedback and behavior for strategic decisions.
Create dashboards and reports to support executive decisions.
Python
NumPy
Pandas
Jupyter
TensorFlow
Scikit-Learn
SQL
Matplotlib
Seaborn
Tableau
R
Linux
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: RetailAnalyze marketing channel performance to measure return on ad spend (ROAS) and customer acquisition cost (CAC). Recommend optimization strategies.
Tools Used: SQL, Excel, Power BI Skills: SQL Analysis, ROI Metrics, Data Visualization Sector: E-commerceUse classification models to predict the likelihood of a customer defaulting on a loan using historical data. Aid financial institutions in credit risk assessment.
Tools Used: Python (Pandas, Scikit-learn), Excel Skills: Classification, EDA, Model Evaluation Sector: BFSIIdentify churn patterns by analyzing usage data and customer feedback. Develop a churn prediction model and recommend strategies to improve retention.
Tools Used: Python, SQL, Tableau Skills: Churn Modeling, Segmentation, Retention Strategy Sector: SaaSBuild time-series models to forecast quarterly revenue for a logistics firm. Support budgeting and investment planning through predictive insights.
Tools Used: Python (ARIMA, Prophet), Excel Skills: Forecasting, Time-Series Analysis, Business Planning Sector: LogisticsCreate an interactive dashboard to analyze employee attrition trends and risk factors. Present insights to HR teams for workforce planning.
Tools Used: Power BI, SQL Skills: HR Analytics, KPI Visualization, Dashboarding Sector: IT ServicesConduct ABC analysis to categorize inventory based on consumption value. Provide recommendations to minimize holding costs and optimize stock levels.
Tools Used: Excel, Python (Pandas), Tableau Skills: ABC Classification, Inventory Management, Cost Optimization Sector: ManufacturingAnalyze customer demand and competitor pricing to simulate dynamic pricing strategies for a hotel chain. Maximize occupancy while ensuring profitability.
Tools Used: Excel, Python (NumPy, Matplotlib) Skills: Pricing Models, Simulation, Demand Forecasting Sector: HospitalityDedicated career support to transform your skills into a successful data science career.
Real stories of career transformations with our Business Analytics program.
Sales Executive → Business Analyst
"The program gave me real-world business case exposure and helped me shift into analytics with confidence and clarity."
HR Professional → Data Analyst
"Thanks to the hands-on projects and Excel/SQL modules, I transitioned smoothly into a data-driven role in HR analytics."
Banking Officer → Business Analyst
"The Business Analytics program bridged my banking experience with data skills, leading to a seamless industry switch."
Fresher → Associate Analyst
"From zero experience to cracking my first analyst role—this course made it possible with real mentorship and placement help."
MIS Analyst → Business Intelligence Analyst
"I upskilled in Power BI and Python through this program and made a lateral move with a 40% salary hike."
Marketing Analyst → Product Analyst
"The case studies and dashboarding practice prepared me for interviews and helped me get into a top product firm."
Q. Who can join this program?
Anyone with a bachelor’s degree and interest in business strategy, analytics, and data-driven decision-making can join.
Q. What is the duration of the program? +
Q. Do I need technical or coding experience?
Q. What tools will I learn? +
Q. Will I get doubt-clearing support? +
Q. Are live sessions recorded? +
Q. Is there a job guarantee? +
Q. What job roles can I apply for? +
Q. What is the program fee? +
Q. Are EMI options available? +
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