Business Analytics Course – Master Data-Driven Decision Making

Learn Business Analytics with Practical Skills

Businesses rely on data to understand performance, customers, sales, and market trends. Our Business Analytics Course at Rohil NextGen helps students and aspiring professionals learn how to analyze data and convert it into useful business insights.

The course provides practical training in Excel, SQL, Power BI, Tableau, and Python, along with real-world projects. Learners can build technical and analytical skills while understanding how data is used for business decision-making.

What You Will Learn

Excel for Data Analysis

Learn data cleaning, formulas, pivot tables, charts, functions, and reporting techniques using Excel.

SQL

Understand how to retrieve, filter, organize, and analyze data from databases using SQL queries, joins, aggregations, and other essential concepts.

Power BI

Create interactive dashboards and business reports using Power BI. Learn data preparation, visualization, relationships, and KPI reporting.

Tableau

Develop professional dashboards and visualizations with Tableau to present complex data in a simple and meaningful way.

Python for Analytics

Learn the fundamentals of using Python for data analysis, data cleaning, visualization, and basic analytics workflows.

Practical Projects

The course includes practical exercises and projects based on business scenarios such as:

  • Sales and revenue analysis
  • Customer data analysis
  • Business performance reporting
  • Marketing analytics
  • KPI dashboards
  • Data visualization

Working on projects helps learners understand how analytics tools are applied to real business problems.

Who Can Join?

This course is suitable for college students, graduates, engineering students, management students, working professionals, and beginners interested in developing analytics skills.

No advanced programming knowledge is required to get started. The concepts are introduced step by step, allowing learners to build their skills progressively.

Career Opportunities

Business analytics skills can support career opportunities in areas such as:

  • Business Analyst
  • Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • MIS Analyst
  • Data Visualization Analyst

Along with technical knowledge, learners develop analytical thinking, problem-solving, data visualization, and reporting skills that are useful across different industries.

Why Choose Rohil NextGen?

Rohil NextGen focuses on practical, career-oriented learning rather than theory alone. Learners get exposure to industry-relevant tools and practical projects that help them understand the complete analytics workflow.

Start your journey with the Business Analytics Course at Rohil NextGen and develop the skills needed to work confidently with data and make informed business decisions.

TOP RATED 4.9 4.9 Ratings
2026
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.