• ISO Certified

  • AI-Powered

Transform Data Into Decisions — Start Your Analytics Journey Today

The Data Analytics & Business Intelligence Internship at GRRAS Solutions is designed to provide students with practical exposure to modern data processing technologies and real-world analytical applications. The program focuses

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Successfully Trained

Data Analytics Internship With Grras

Master the future of data-driven decision-making with our comprehensive Data Analytics and Business Intelligence course. Gain in-depth expertise in Statistical Modeling, Data Cleaning, SQL Query Optimization, and Exploratory Data Analysis (EDA). Learn industry-standard tools including Python, Excel VBA, Power BI, Tableau, and Google Looker Studio to transform complex datasets into actionable business insights.

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15k+ Classes Completed
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97% Satisfaction Rate
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102k+ Students Community

Earn an ISO-Certified Training Certificate

Upon successful completion of the Data Analytics Internship Program, students will receive an Internship Completion Certificate from GRRAS Solutions Pvt. Ltd. The certificate validates the participant’s training, project work, and practical exposure gained during the internship, highlighting key skills in Python Programming, SQL, Power BI, Advanced Excel, Data Visualization, and Exploratory Data Analysis (EDA). Students can leverage this certificate to enhance their resumes, LinkedIn profiles, and professional portfolios — helping them stand out to recruiters and organizations seeking skilled Data Analysts and BI professionals.

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Course Structure Overview

Data Analytics is the process of collecting, cleaning, analyzing, and interpreting large sets of data to uncover meaningful patterns, trends, and insights that drive smarter business decisions. In today’s data-driven world, organizations across every industry rely on skilled data analysts to transform raw data into actionable strategies. This program provides a comprehensive foundation in the tools and techniques used by industry professionals — covering Python, SQL, Power BI, and Advanced Excel — preparing you for real-world challenges in data analysis, business intelligence, and beyond.

  • Advance Execl
  • Power BI
  • Python
  • Numpy
  • Pandas
  • Seaborn
  • Matplotlib
  • SQL

Detailed Curriculum

Our comprehensive Data Analytics curriculum is carefully structured to build your skills step by step — from Python programming and SQL to Power BI dashboards and Advanced Excel automation. Each module combines theory with practical assignments and real-world projects, ensuring you gain both conceptual clarity and hands-on experience. With 18 in-depth modules covering data cleaning, visualization, exploratory data analysis, and more, this curriculum is designed to make you industry-ready from day one.

Module 01 - Introduction to Data Analytics

  • Definition and scope of data analytics.
  • Data analytics lifecycle: data acquisition, cleaning, analysis, and visualization.
  • Applications of data analytics in various industries.

Module 02 - Introduction to Excel

  • Overview of Excel interface and functionalities.
  • Basic operations: entering data, formulas, formatting.

Module 03 - Basic Formulas, Functions, Charts & Graphs

  • SUM, AVERAGE, MAX, MIN functions.
  • IF, VLOOKUP, HLOOKUP functions.
  • CONCATENATE, TEXT functions for text manipulation.
  • Creating basic charts: bar, line, pie charts.
  • Using sparklines for data visualization.

Module 04 - PivotTables and Pivot Charts

  • Creating PivotTables to summarize and analyse data.
  • Using slicers and timelines for interactive analysis.
  • Creating Pivot Charts from PivotTables.

Module 05 - Advanced PivotTable Techniques

  • Creating calculated fields and items in PivotTables.
  • Grouping data by date, number, and custom categories.
  • Building dynamic dashboards using PivotTables and slicers.

Module 06 - Advanced Functions & Excel Automation

  • INDEX, MATCH, OFFSET functions for advanced lookup and reference.
  • Array formulas for complex calculations.
  • Logical functions: IFERROR, AND, OR, NOT.
  • Introduction to macros: recording and editing macros.
  • Using VBA (Visual Basic for Applications) for automation.
  • Creating custom functions with VBA.

 

Module 07 - Introduction to SQL

  • Basic SQL queries: SELECT, FROM, WHERE, GROUP BY.
  • DDL, DML, DCL, DQL, TCL Commands.
  • Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN.
  • Subqueries and aggregate functions.

Module 08 - Aggregate Functions

  • COUNT, SUM, MIN, MAX, AVG Functions.
  • GROUP BY and HAVING Clause.
  • Using GROUP BY with ROLLUP and CUBE.

 

 

Module 09 - Joins and Set Operations

  • Introduction to Joins – Cross Joins and Inner Join.
  • Outer Join and Self Join.
  • Co-related Sub Queries.
  • Set Operations using UNIONS, INTERSECT, EXCEPT.

Module 10 - SQL for Data Science

  • Advanced SQL queries: window functions, CTEs.
  • Performance optimization techniques.
  • ACID Properties – Ensuring data reliability.
  • Working with large datasets efficiently.

Module 11 - Data Visualization with Power BI

  • Introduction to Power BI Desktop.
  • Creating interactive reports and dashboards.
  • Data modelling and transformation in Power BI.

Module 12 - Advanced Data Modelling

  • Creating complex relationships between tables.
  • Implementing role-playing dimensions for time intelligence.
  • Using DAX (Data Analysis Expressions) for advanced calculations.

Module 13 - Advanced Visualization Techniques

  • Custom visuals and integrating them into Power BI.
  • Hierarchical drilling and grouping for interactive reports.
  • Using bookmarks and tooltips for better data storytelling.

Module 14 - Data Preparation and Transformation

  • Data profiling and cleansing within Power BI.
  • Combining data from multiple sources using Power Query.
  • Implementing dataflows for ETL (Extract, Transform, Load) processes.

Module 15 - Python Programming for Data Analytics

  • Basic Python syntax and data structures.
  • Introduction to NumPy for numerical computing.
  • Using Pandas for data manipulation and analysis.

Module 16 - Advanced Python for Data Analytics

  • Working with datetime data in Pandas.
  • Handling categorical data: encoding, dummy variables.
  • Advanced data manipulation techniques.

Module 17 - Data Cleaning and Preprocessing

  • Handling missing values and outliers.
  • Data transformation techniques: normalization, standardization.
  • Data integration and aggregation.

Module 18 - Exploratory Data Analysis (EDA)

  • Data visualization with Matplotlib and Seaborn.
  • Statistical analysis: measures of central tendency, dispersion, correlation.
  • Exploratory data visualization techniques.

Module 19 - Project Ideas

  • Learn Dash Analytics: A Power BI-driven LMS analytics dashboard to optimize learning experiences, tracking engagement & course effectiveness.
  • Churn Insight: Analysing Customer Retention Dynamics through a Dynamic Power BI Dashboard.
  • Logistics Route Optimization Dashboard: Visualize and optimize delivery routes using real-world logistics data.
  • Non-Profit Donor Management System: Analyze donor trends, campaign performance, and fund allocation.
  • Project Portfolio Management Suite: Track project KPIs, timelines, and resource allocation using Power BI.
  • Sales Performance Dashboard: End-to-end sales analysis with Python, SQL, and Power BI.
  • Customer Segmentation Analysis: Cluster customers using Python and visualize segments in Power BI.
  • Financial Data Analysis: Analyze income statements, balance sheets, and KPIs using Excel and SQL.
  • HR Analytics Dashboard: Employee performance, attrition analysis, and workforce planning using Power BI.
  • E-Commerce Analytics Platform: Track orders, returns, customer behavior, and revenue using full stack analytics.

Get ahead in your career by learning Top AI Tools Title

  • ChatGPT & Gemini to explore datasets, analyse data, generate code, and develop models
  • Debugcode.ai to solve any coding problem within seconds

From Training to Placement A Roadmap to Success

Navigate your professional journey with a comprehensive guide that transforms learning into opportunity. Discover proven strategies to build skills, gain experience, and secure your ideal position in today’s competitive job market.

Expert Training sessions

Focus on industry-relevant skills

Hands on projects & Assignments

Real-world projects to implement learned concepts.

Performance Tracking

Weekly tests to assess progress

Mock Interviews

Mock sessions with real-time feedback from experts

Expert Sessions

Host industry experts for advanced technical guidance

Skill Refinement Tasks

Focus on problem-solving, critical thinking, and domain expertise

Effective Communication & Presentation Skills

Through interactive classes, students enhance both verbal and non-verbal communication, while also learning to present their ideas clearly, confidently, and effectively.

Aptitude & Logical Reasoning Training

Enhances students' problem-solving, analytical thinking, and numerical ability-preparing them for competitive exams and placement tests.

Step by step guidance

Help students structure professional, impactful resumes

Industry networking

* Partner with top companies for hiring pipelines
* Conduct webinars and sessions with recruiters

Placement coordination

* Connect candidates to aligned opportunities
* Organize hiring events and recruitment drives

Stress Management Techniques

Equip students to handle high-pressure interview situations

Scenario-Based Training

Prepare students for various interview formats, including case studies, coding rounds, and group discussions

Individual Sessions

* Address specific weaknesses and barriers to success.
* Develop personalized improvement plans

Our mission revolves around our learners

Promising 100% #CareerSuccess!

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Empowering Learners Through Strong Alliances

At Grras Solutions, we collaborate with 45+ academic institutions and industry leaders to ensure our programs align with real-world demands. By integrating professional training, certifications, and hands-on experiences, we empower students to excel in today’s competitive job market.

45+

Partners

1000+ Students

Impacted Annually
Visuals of collaborations (trainings, hackathons, certifications)

600+ Hiring Partners Across Industries

Our extensive network of hiring partners spans various industries, offering diverse opportunities to kickstart your career.

Our Proven Track Record Shows that we Walk the Talk

Benefits of Interning with Us

Emphasize the advantages of joining the internship.

Industry-relevant skills

Gain cutting-edge skills aligned with current market demands, making you industry-ready.

Practical experience

Build an impressive resume/portfolio with hands-on projects and professional-grade outputs.

Real-time problem-solving exposure

Tackle real-world challenges, enhancing critical thinking and technical expertise.

Career opportunities via Grras

Unlock placement opportunities through Grras' extensive professional network and connections.

Resume writing & tech events

Participate in industry-specific competitions and events to expand knowledge and showcase talent.

Mentorship from experts

Learn directly from seasoned professionals, receiving guidance and feedback to boost your career trajectory.

Grras vs Other Internships

See why we are the preferred choice for aspiring professionals.

Features Video Courses Bootcamps Grras
Practical, Real-World Experience
Project-Based Learning
Live, Expert-Led Sessions
Professional Portfolio Development
Industry Partnerships / Externship
Career Coaching
Direct Job Referrals

Take the next step in your career! Connect with our counsellors by filling out this form.

Highly Recommended Internship

Gain hands-on experience with industry-focused internships. Work on real projects, learn from experts, and build job-ready skills for your IT career.

Frequently Asked Questions

Yes, you’ll earn an industry-recognized Data Analyst Certification.

Yes, it validates your skills in Excel, SQL, Python, R, Power BI, Tableau, and end-to-end analytics.

Data Analyst, Business Analyst, BI Specialist, Reporting Analyst, Data Visualization Specialist.

Yes, with resume building, mock interviews, portfolio guidance, and job support.

Yes, skilled analysts are in demand across IT, finance, healthcare, e-commerce, and consulting.

This course teaches data analysis, Excel, SQL, Python, R, and Power BI through real-world projects to make data-driven decisions.

Beginners, students, professionals, and anyone who wants to pursue a career in data analytics or business intelligence.

Basic Excel knowledge and understanding of statistics help, but beginners can also start step by step.

The program includes 200+ hours of practical training, live projects, and portfolio development.

You can work as a Data Analyst, Business Analyst, BI Specialist, Junior Data Scientist, or Reporting Analyst.

Yes, both live online sessions and offline classroom training at Jaipur are available.

Yes, flexible schedules make it ideal for students, professionals, and career switchers.

All sessions are recorded, and you’ll get access to backup classes and resources anytime.

Yes, beginners can start learning data analysis with guided mentorship and practical exercises.

Yes, all course notes, datasets, and learning resources remain accessible after course completion.

Projects include Sales Analytics Dashboards, Customer Segmentation, Marketing Campaign Analysis, and Financial Reporting.

Yes, all projects simulate real-world business analytics scenarios for practical experience.

Yes, using Excel, Power BI, and Tableau to analyze and visualize key business metrics.

Yes, projects can be shared on GitHub, LinkedIn, and during interviews to attract recruiters.

Yes, the course emphasizes turning raw data into business decisions and measurable results.

Yes, experienced trainers provide guidance and support throughout the program.

Yes, live Q&A sessions, mentor assistance, and discussion forums are available.

Yes, connect with peers through webinars, hackathons, and collaborative projects.

Yes, notes, datasets, and project materials are accessible even after course completion.

Because of expert-led training, hands-on projects, flexible learning, and strong placement support.

You’ll master Excel, SQL, Python, R, Power BI, and Tableau for real-world data projects.

Yes, you’ll create dashboards, charts, and reports to communicate insights effectively.

Yes, projects use live datasets from sales, finance, marketing, and customer analytics.

Yes, you’ll apply Python and Power BI to forecast sales, customer behavior, and KPIs.

Yes, you’ll learn statistical techniques and data interpretation using Python, R, and Excel.

Yes, you’ll earn an industry-recognized Data Analyst Certification.

Yes, it validates your skills in Excel, SQL, Python, R, Power BI, Tableau, and end-to-end analytics.

Data Analyst, Business Analyst, BI Specialist, Reporting Analyst, Data Visualization Specialist.

Yes, with resume building, mock interviews, portfolio guidance, and job support.

Yes, skilled analysts are in demand across IT, finance, healthcare, e-commerce, and consulting.

This course teaches data analysis, Excel, SQL, Python, R, and Power BI through real-world projects to make data-driven decisions.

Beginners, students, professionals, and anyone who wants to pursue a career in data analytics or business intelligence.

Basic Excel knowledge and understanding of statistics help, but beginners can also start step by step.

The program includes 200+ hours of practical training, live projects, and portfolio development.

You can work as a Data Analyst, Business Analyst, BI Specialist, Junior Data Scientist, or Reporting Analyst.

Yes, both live online sessions and offline classroom training at Jaipur are available.

Yes, flexible schedules make it ideal for students, professionals, and career switchers.

All sessions are recorded, and you’ll get access to backup classes and resources anytime.

Yes, beginners can start learning data analysis with guided mentorship and practical exercises.

Yes, all course notes, datasets, and learning resources remain accessible after course completion.

Projects include Sales Analytics Dashboards, Customer Segmentation, Marketing Campaign Analysis, and Financial Reporting.

Yes, all projects simulate real-world business analytics scenarios for practical experience.

Yes, using Excel, Power BI, and Tableau to analyze and visualize key business metrics.

Yes, projects can be shared on GitHub, LinkedIn, and during interviews to attract recruiters.

Yes, the course emphasizes turning raw data into business decisions and measurable results.

Yes, experienced trainers provide guidance and support throughout the program.

Yes, live Q&A sessions, mentor assistance, and discussion forums are available.

Yes, connect with peers through webinars, hackathons, and collaborative projects.

Yes, notes, datasets, and project materials are accessible even after course completion.

Because of expert-led training, hands-on projects, flexible learning, and strong placement support.

You’ll master Excel, SQL, Python, R, Power BI, and Tableau for real-world data projects.

Yes, you’ll create dashboards, charts, and reports to communicate insights effectively.

Yes, projects use live datasets from sales, finance, marketing, and customer analytics.

Yes, you’ll apply Python and Power BI to forecast sales, customer behavior, and KPIs.

Yes, you’ll learn statistical techniques and data interpretation using Python, R, and Excel.

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