Data Analytics Course in Jaipur – Practical Data Analyst Training
Build job-ready analytical skills with Groot Academy’s Data Analytics Course in Jaipur. Learn Microsoft Excel, advanced Excel, SQL, Python, statistics, data visualization, Power BI, Power Query and DAX through hands-on exercises, dashboards and live projects.
What You Will Learn
- Excel and advanced Excel for cleaning, analysis, formulas, pivot tables and dashboards
- SQL for querying, joining, aggregating and analyzing relational data
- Python, NumPy and Pandas for practical data analysis
- Matplotlib and Seaborn for data visualization
- Statistics and probability for data-driven business decisions
- Power BI, Power Query and DAX for interactive business intelligence dashboards
- Sales, HR, marketing, finance and e-commerce analytics projects
Who Should Join?
This course is suitable for students, graduates, working professionals and beginners who want to develop practical skills for data analyst and business analytics roles.
Related Courses
Explore our Data Science Course in Jaipur, Business Analytics Course in Jaipur, Power BI Course in Jaipur, Python Programming Course in Jaipur, SQL Course in Jaipur and Advanced Excel Course in Jaipur.
Career and Practical Training
Students can strengthen their portfolio through Live Project Training, explore Internship Programs and learn about Placement Assistance.
Frequently Asked Questions
What tools will I learn in this Data Analytics course?
You will learn Excel, SQL, Python, Pandas, NumPy, data visualization, statistics and Power BI.
Will I work on live projects?
Yes. The curriculum includes Excel dashboards, SQL analysis, Python analytics, Power BI dashboards and a final capstone project.
Is the course suitable for beginners?
Yes. The curriculum starts with fundamentals and gradually moves toward advanced analysis, dashboards and practical projects.
Curriculum
- 15 Sections
- 150 Lessons
- 3 Weeks
- Introduction to Data Analytics10
- 1.1Introduction to Data Analytics
- 1.2Types of Data Analytics
- 1.3Data Analytics Lifecycle
- 1.4Role of a Data Analyst
- 1.5Data Analytics vs Data Science
- 1.6Understanding Data Types
- 1.7Structured vs Unstructured Data
- 1.8Data Sources and Data Collection
- 1.9Business Problems and Data-Driven Decisions
- 1.10Data Analytics Career Opportunities
- Microsoft Excel Fundamentals10
- Advanced Excel for Data Analysis10
- Data Cleaning and Preparation in Excel10
- Pivot Tables and Excel Dashboards10
- SQL Fundamentals10
- Advanced SQL for Data Analytics10
- Python Fundamentals for Data Analytics10
- Python Libraries for Data Analysis10
- Data Visualization with Python10
- Statistics for Data Analytics10
- 11.1Introduction to Statistics
- 11.2Types of Data and Variables
- 11.3Measures of Central Tendency
- 11.4Mean, Median and Mode
- 11.5Measures of Dispersion
- 11.6Variance and Standard Deviation
- 11.7Probability Fundamentals
- 11.8Normal Distribution
- 11.9Correlation and Relationships
- 11.10Statistical Analysis for Business Decisions
- Power BI Fundamentals10
- Power Query and DAX10
- Power BI Dashboards and Business Intelligence10
- Data Analytics Live Projects10
- 15.1Sales Data Analysis Project
- 15.2E-Commerce Data Analytics Project
- 15.3Customer Behaviour Analysis
- 15.4HR Analytics Project
- 15.5Financial Data Analysis
- 15.6Marketing Campaign Analysis
- 15.7SQL Data Analysis Project
- 15.8Python Data Analytics Project
- 15.9Power BI Business Dashboard
- 15.10Final Data Analytics Capstone Project















