Data Analytics Course
Learn Data Analytics through practical training in Excel, SQL, Power BI, data analysis, reporting, dashboards, and business intelligence using real-world datasets.
Data Science Beginner to Job-ReadyData Analytics
Learn Data Analytics through practical training in Excel, SQL, Power BI, data analysis, reporting, dashboards, and business intelligence using real-world datasets.
- Hands-On Data Analytics Projects
- Excel & SQL Data Analysis Training
- Power BI Dashboard Development
Course Overview
Build skills that go beyond theory
Data Analytics course in Agra at AI Scholars is designed for beginners, students, graduates, job seekers, and working professionals who want structured, mentor-led training with practical work, certification guidance, and career preparation.
Build practical Data Analytics skills through hands-on training in Microsoft Excel, SQL, Power BI, data cleaning, analysis, reporting, and dashboard development. Learn to work with real-world datasets, identify trends, track business performance, and present actionable insights through practical projects.
Learning Outcomes
What you will be able to build
Turn guided lessons into practical abilities you can explain clearly in projects, internships, and interviews.
Analyze business data
Practice this through guided work using Microsoft Excel, SQL, Power BI and course projects.
Clean and transform datasets
Practice this through guided work using Microsoft Excel, SQL, Power BI and course projects.
Use Excel for data analysis
Practice this through guided work using Microsoft Excel, SQL, Power BI and course projects.
Write SQL queries
Practice this through guided work using Microsoft Excel, SQL, Power BI and course projects.
Create Power BI dashboards
Practice this through guided work using Microsoft Excel, SQL, Power BI and course projects.
Track KPIs and business trends
Practice this through guided work using Microsoft Excel, SQL, Power BI and course projects.
Create data-driven reports
Practice this through guided work using Microsoft Excel, SQL, Power BI and course projects.
Build real-world analytics projects
Practice this through guided work using Microsoft Excel, SQL, Power BI and course projects.
Course Curriculum
A clear path from foundations to final project work
Modules are structured from the available course curriculum, keeping the learning sequence easy to scan without changing the underlying course data.
- Introduction to Data Analytics
- Microsoft Excel for Data Analysis
- SQL for Data Queries
- Data Cleaning & Transformation
- Data Visualization Techniques
- Power BI Dashboard Development
- Business Intelligence & KPI Analysis
- Exploratory Data Analysis
- Reporting & Data Storytelling
- Real-World Data Analytics Projects
- Portfolio & Case Study Development
Tools & Technologies
Learn the tools used in modern workflows
The Data Analytics learning path includes practical exposure to the technologies listed in the course curriculum.
Live Project Experience
Build projects you can actually show in interviews
Transform what you learn into portfolio-ready work, documented demos, and practical explanations for professional conversations.
Portfolio Application
Hands-On Data Analytics Projects
Dashboard Workflow
Excel & SQL Data Analysis Training
API or Automation Project
Power BI Dashboard Development
Final Project Demo
Data Cleaning & Transformation
Career Outcomes
Turn your skills into career-ready proof
The program connects classroom learning with project review, portfolio development, interview communication, and course counseling.
Industry-Relevant Skills
Understand how modern teams apply technical skills in practical workflows and project decisions.
Mentor Reviews
Receive guidance on project clarity, presentation quality, and gaps to improve before interviews.
Portfolio Proof
Use projects, demos, documentation, and explanations to demonstrate what you can build.
Interview Preparation
Practice explaining your project choices, tools, problem-solving process, and learning path.
Placement Roadmap
From learning to interviews
A simple progression helps students move from fundamentals to project confidence and career conversations.
Skill Foundation
Build strong technical fundamentals through guided training.
Guided Projects
Apply skills through real-world project work.
Portfolio Polish
Organize your strongest work into an interview-ready portfolio.
Mock Interviews
Practice technical explanations and professional communication.
Career Counseling
Receive guidance for internships, job profiles, and next career steps.
Mentor-Led Learning
Learn with guidance, feedback, and real project reviews
AI Scholars mentors help learners connect concepts with practical execution through live training, project checkpoints, portfolio improvement, and interview preparation.
Course Inquiry
Get batch timings, fee details, and demo class guidance
Share your details and the AI Scholars team will contact you about Data Analytics, curriculum, certification, and admission next steps.
Data Analytics
Request a callback for course counseling.
FAQ
Questions before joining Data Analytics?
A few quick answers before you speak with the counseling team.
Yes. The program starts with fundamentals and moves toward practical projects, portfolio work, and interview readiness.
Internship guidance is available with project tracks, mentor reviews, and certification options where applicable.
Yes. Project work is part of the learning path so students can demonstrate practical skills, not just complete theory.
AI Scholars supports resume improvement, mock interviews, portfolio review, and career counseling.
Helpful Next Pages
Explore connected programs and guides
Useful internal resources for students comparing programs, services, and local training options.
Start Your Learning Journey
Build practical skills with AI Scholars
Speak with our team about batches, curriculum, demo classes, certification, and career guidance.