Data Analytics Overview

Master the Essentials of Data Analytics: Become a Certified Data Expert and Drive Insights from Big Data!

Rohil NextGen offers a comprehensive Data Analytics training program covering Data Modeling, Data Visualization, Statistical Analysis, and Machine Learning Techniques using Advanced Data Analytics Tools.

TOP RATED 4.9 4.9 Ratings
2025
Latest Curriculum
6 Months
Course Duration
150
Total Hours
80
Theory (Hours)

Why Choose Data Analytics Certification?

Annual Income

Estimated Salary

₹ 18 L

Career Opportunities

Growth Rate This Year

50%

Industry Demand

Projected by 2026

5 L

Become a Data Analytics Expert

❝ Learn Data Modeling, Visualization, and Machine Learning ❞

Course Overview

This Advanced Data Analytics course is designed to teach you how to analyze and interpret large datasets using tools like Python, R, SQL, and Tableau. You will learn about statistical analysis, data modeling, predictive analytics, and how to visualize data to derive actionable insights.

Key Learning Outcomes

  • Understand the fundamentals of data cleaning and preparation.
  • Master data visualization techniques using Tableau, Power BI, and other tools.
  • Learn statistical methods for data analysis and interpretation.
  • Gain hands-on experience with machine learning algorithms and techniques.
  • Build predictive models and data-driven applications using advanced analytics tools.

Career Prospects with This Course

  • Become a Data Analyst, Data Scientist, or Business Intelligence Specialist in leading tech companies.
  • Work as a Data Engineer, optimizing data pipelines and managing data infrastructures.
  • Pursue roles in machine learning engineering and AI-driven analytics.
  • Engage in academic research and development in data science and analytics.
  • Lead data-driven decision-making in business and organizations with advanced analytical techniques.

Data Analytics – 180 Days (Theory + Practical)

Stack: Excel, SQL, Python, Power BI/Tableau, Statistics, Business Analytics, Projects

Phase 1: Excel for Data Analysis (Weeks 1–4)

Week 1-2: Excel Basics

  • Cells, formatting, formulas
  • Basic functions: SUM, IF, COUNTIF, VLOOKUP
  • Relative vs absolute referencing

Practical

  • Sales report with formulas
  • Automated invoice generator

Week 3-4: Excel Advanced

  • Pivot Tables, Charts, Data Validation
  • Conditional Formatting
  • Intro to Power Query

Practical

  • Dashboard using Pivot Tables
  • HR data analysis in Excel

Phase 2: Statistics & Business Math (Weeks 5–8)

Theory

  • Descriptive Statistics
  • Probability Theory
  • Hypothesis Testing
  • Regression Analysis

Practical

  • Statistical Analysis with Excel
  • Business Case Studies
  • Data Interpretation Exercises

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

Theory

  • Database Fundamentals
  • SQL Queries and Joins
  • Data Aggregation
  • Window Functions

Practical

  • Database Query Writing
  • Data Extraction and Transformation
  • Real-world SQL Projects

Phase 4: Python for Analytics (Weeks 13–18)

Theory

  • Python Basics for Data Analysis
  • Pandas for Data Manipulation
  • NumPy for Numerical Computing
  • Data Visualization with Matplotlib & Seaborn

Practical

  • Data Cleaning with Python
  • Exploratory Data Analysis
  • Building Data Pipelines

Phase 5: Power BI/Tableau for Data Visualization (Weeks 19–22)

Theory

  • Data Visualization Principles
  • Power BI/Tableau Interface
  • Dashboard Design Best Practices
  • Interactive Reporting

Practical

  • Building Interactive Dashboards
  • Creating Business Reports
  • Data Storytelling Projects

Phase 6: Capstone Project & Career Development (Weeks 23–26)

Theory

  • Project Planning and Management
  • Industry Best Practices
  • Resume Building and Interview Preparation
  • Portfolio Development

Practical

  • End-to-End Data Analytics Project
  • Portfolio Creation
  • Mock Interviews and Presentations

Ready to Master Data Analytics?

Join our comprehensive 6-month program and become a certified Data Analytics expert with hands-on experience on Excel, SQL, Python, Power BI, and Tableau.

Enroll Now - Limited Seats Available

Frequently Asked Questions

What is Data Analytics?

Data Analytics is the process of examining datasets to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software to derive insights and support decision-making.

Do I need programming experience for this course?

No prior programming experience is required. The course starts with Excel and gradually introduces SQL and Python, making it accessible to beginners with a logical mindset.

Will I receive a certificate after completing the Data Analytics course?

Yes, upon successful completion of the course and capstone project, you will receive a certificate from Rohil NextGen validating your Data Analytics skills.

What tools will I learn in this course?

You will learn Excel, SQL, Python (Pandas, NumPy, Matplotlib), Power BI, Tableau, and various statistical tools used in data analysis and visualization.

What career opportunities are available after this course?

Graduates can pursue roles as Data Analysts, Business Analysts, Data Scientists, BI Specialists, and various analytics positions across industries.

Is there placement assistance after course completion?

Yes, we provide 100% placement assistance with our extensive network of hiring partners in the analytics industry, including resume building, interview preparation, and job placement support.