Business Analytics Overview

Master the Essentials of Business Analytics: Become a Certified Business Analyst and Drive Data-Driven Decision Making!

Rohil NextGen offers a comprehensive Business Analytics training program covering Data Analysis, Predictive Modeling, Statistical Inference, and Business Intelligence using Advanced Tools and Techniques.

TOP RATED 4.9 4.9 Ratings
2025
Latest Curriculum
6 Months
Course Duration
120
Total Hours
70
Theory (Hours)

Why Choose Business Analytics Certification?

Annual Income

Estimated Salary

₹ 18 L

Career Opportunities

Growth Rate This Year

50%

Industry Demand

Projected by 2026

6 L

Become a Business Analytics Expert

❝ Learn Data Analysis, Predictive Modeling, Statistical Inference, and Advanced Analytics Techniques ❞

Course Overview

This Business Analytics Advanced course is designed to teach you how to analyze and interpret complex data, use statistical models and data visualization techniques to solve business problems, and make data-driven decisions using industry-standard tools like R, Python, and Tableau. This course covers essential topics like predictive analytics, big data technologies, and advanced business intelligence methodologies.

Key Learning Outcomes

  • Understand the fundamentals of Business Analytics and Data Science.
  • Learn advanced predictive analytics techniques for forecasting business trends.
  • Master data visualization using advanced tools like Tableau and Power BI.
  • Apply statistical inference to make informed business decisions.
  • Use Python and R for data manipulation, machine learning, and statistical analysis.

Career Prospects with This Course

  • Become a Business Analyst or Data Scientist in top tech companies.
  • Work as a Data Analyst or Analytics Consultant in consulting firms.
  • Explore careers in Financial Analytics, Marketing Analytics, and Operations Analytics.
  • Take roles in academic and research fields related to business and economics.
  • Work with Big Data and cloud-based analytics platforms in industries like healthcare, retail, and finance.

Business Analytics – 180 Days Syllabus (Theory + Practical)

Stack: Excel, SQL, Power BI/Tableau, Python (basic), Statistics, Case Studies, Business Tools

Phase 1: Business Analytics Foundations (Weeks 1–4)

Theory

  • Introduction to Business Analytics
  • Data Types and Data Collection Methods
  • Descriptive Statistics and Data Summarization
  • Business Problem Framing

Practical

  • Excel for Data Analysis
  • Basic Data Visualization in Excel
  • Case Study: Sales Data Analysis

Phase 2: Statistics & Data Analysis (Weeks 5–8)

Theory

  • Probability Theory and Distributions
  • Hypothesis Testing and Confidence Intervals
  • Correlation and Regression Analysis
  • Statistical Inference for Business Decisions

Practical

  • Statistical Analysis with Python
  • Regression Modeling
  • Case Study: Market Trend Analysis

Phase 3: SQL for Business Analysts (Weeks 9–12)

Theory

  • Database Fundamentals and SQL Basics
  • Advanced SQL Queries and Joins
  • Data Aggregation and Window Functions
  • Query Optimization Techniques

Practical

  • SQL Query Writing and Optimization
  • Database Management and ETL Processes
  • Case Study: Customer Data Analysis

Phase 4: Business Intelligence Tools (Weeks 13–18)

Theory

  • Introduction to Business Intelligence
  • Data Visualization Principles
  • Dashboard Design and Storytelling
  • Advanced BI Concepts

Practical

  • Tableau/Power BI Dashboard Creation
  • Interactive Data Visualization
  • Case Study: Business Performance Dashboard

Phase 5: Business Domain Deep Dive (Weeks 19–24)

Theory

  • Marketing Analytics and Customer Insights
  • Financial Analytics and Risk Management
  • Operations and Supply Chain Analytics
  • HR Analytics and People Analytics

Practical

  • Domain-specific Case Studies
  • Cross-functional Analytics Projects
  • Industry Best Practices Implementation

Phase 6: Final Project & Case Studies (Weeks 25–30)

Week 25–28: Final Project Work

  • Formulate problem statements
  • Collect & clean data
  • Build models for analysis

Practical

  • Real-world case study (choose your domain)

Week 29–30: Presentation & Feedback

  • Storytelling & Visualization
  • Mock presentations with feedback

Practical

  • Final presentation to class
  • Feedback from instructor

Frequently Asked Questions

What is Business Analytics?

Business Analytics involves using data, statistical analysis, and predictive modeling to drive business decisions and solve complex business problems.

Do I need programming experience for this course?

No prior programming experience is required. The course starts with fundamentals and gradually introduces Python and R for data analysis.

Will I receive a certificate after completing the course?

Yes, upon successful completion of the course and final project, you will receive a certificate from Rohil NextGen.

What tools will I learn in this course?

You will learn Excel, SQL, Python, R, Tableau, Power BI, and various statistical tools used in business analytics.

What career opportunities are available after this course?

Graduates can pursue roles as Business Analysts, Data Analysts, Analytics Consultants, and various domain-specific analytics positions.

Is there placement assistance after course completion?

Yes, we provide 100% placement assistance with our extensive network of hiring partners in the analytics industry.