Data Analyst Training

Become a job-ready Data Analyst with hands-on training in Excel, SQL, Python, and data visualization — learning to turn raw data into business insights using the same tools top companies rely on every day.

Average Salary Package

₹4.5 - ₹25 LPA
  • 100% Placement Assistance
  • Live Projects
  • Industry-Recognized Certification
  • Learn from Expert Mentors
Data Analyst
Course Content

Data Analytics Training

Master the complete data analysis workflow — from collecting and cleaning raw data to uncovering insights and presenting them through compelling visualizations and dashboards. This industry-oriented Data Analyst training program covers Excel, SQL, Python for data analysis, statistics, Power BI & Tableau, and storytelling with data. Designed with input from hiring managers at top MNCs and analytics firms, this course turns beginners into job-ready Data Analysts.

Why Learn Data Analytics?

Every business today runs on data — from marketing and finance to operations and product decisions. Companies need analysts who can clean messy datasets, write efficient queries, and translate numbers into clear, actionable insights for decision-makers. Data Analytics is one of the fastest entry points into the data industry, requiring no prior coding background, and opens doors to higher-paying roles in Data Science, Business Intelligence, and Analytics Engineering as you grow.

Curriculum Highlights

What You'll Learn

Understand the complete data analytics workflow from raw data to business insight
Master Excel for data cleaning, pivot tables, VLOOKUP/XLOOKUP & dashboards
Write SQL queries to extract, join, and aggregate data from relational databases
Use Python (Pandas, NumPy) for data cleaning, transformation & analysis
Apply core statistics & probability concepts to analyze and interpret data
Build interactive dashboards and reports using Power BI
Create compelling visualizations and stories using Tableau
Visualize data in Python using Matplotlib & Seaborn
Design and manage relational databases using MySQL / PostgreSQL
Perform exploratory data analysis (EDA) to identify trends & patterns
Build KPI dashboards and reports for real business use cases
Present data-driven insights clearly through effective data storytelling
Hands-On Stack

Technologies & Tools Covered

During this training, you'll gain hands-on experience with the same data analytics tools trusted by startups, enterprises, and Fortune 500 companies — preparing you to walk into any analyst role with real, job-ready skills.

Spreadsheets

Excel · Google Sheets

Query Languages

SQL · MySQL · PostgreSQL

Programming

Python · Pandas · NumPy

Data Visualization

Power BI · Tableau · Excel Dashboards

Python Visualization

Matplotlib · Seaborn

Statistics

Descriptive Stats · Probability · Hypothesis Testing

Version Control

Git · GitHub

Reporting

KPI Dashboards · Business Reports

Cloud & BI (Overview)

Google Data Studio · AWS QuickSight

From Raw Data to Decisions

Learn the end-to-end analyst workflow used by real businesses — pulling data with SQL, cleaning and analyzing it in Excel & Python, and presenting findings through interactive Power BI & Tableau dashboards that decision-makers actually use.

Practical Application

Hands-on Projects

01Clean and analyze a real-world sales dataset using Excel
02Write SQL queries to analyze e-commerce customer data
03Perform exploratory data analysis on a dataset using Python & Pandas
04Build an interactive sales performance dashboard in Power BI
05Create a customer segmentation report using Tableau
06Analyze marketing campaign performance and visualize ROI trends
07Build a KPI dashboard tracking business metrics for a mock company
08Present a complete data analysis case study with actionable recommendations
Stay Ahead

Latest Industry Trends Included

AI-assisted Analytics (ChatGPT, Copilot for Excel) Self-Service BI Dashboards Data Storytelling Predictive Analytics Basics Cloud-Based Analytics (AWS, GCP) Data Cleaning Automation No-Code / Low-Code Analytics Tools Real-Time Dashboarding Data Governance & Quality
Where This Leads

Career Opportunities

After completing this training, you'll be prepared for roles such as:

Data Analyst Business Analyst Business Intelligence Analyst SQL Developer Reporting Analyst Marketing Analyst Operations Analyst Junior Data Scientist Power BI / Tableau Developer
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100% Practical Training

Focus on hands-on coding and implementation from day one.

Industry Projects

Work on real-world datasets and production-level AI problems.

Interview Preparation

Mock interviews and technical round practice with mentors.

Resume Building

Crafting AI-focused profiles that attract top-tier recruiters.

Global Certification

Earn a recognized certificate to validate your AI expertise.

Placement Support

Access to our network of 500+ hiring partners in tech.
Course Curriculum

Complete Data Analyst Learning Path

Build job-ready analytical skills through hands-on training in Excel, SQL, Python, Power BI, Tableau, statistics, and real-world business case studies used by modern organizations.

01
Introduction to Data Analytics Getting Started

Understand the complete data analytics lifecycle, business problem-solving approaches, types of data, data-driven decision making, and the responsibilities of a professional Data Analyst.

02
Microsoft Excel for Data Analysis Spreadsheet Analytics
  • Excel Functions & Formulas
  • Pivot Tables
  • Charts & Dashboards
  • Conditional Formatting
  • Data Validation
  • Advanced Excel Tools
03
SQL for Data Analysis Database Querying
  • SELECT Queries
  • Filtering & Sorting
  • Joins & Relationships
  • Aggregate Functions
  • Subqueries
  • Views & Stored Procedures
04
Python for Data Analytics Programming Fundamentals
  • Python Basics
  • NumPy
  • Pandas
  • DataFrames
  • File Handling
  • Data Manipulation
05
Data Cleaning & Preprocessing Data Preparation
  • Missing Value Handling
  • Duplicate Removal
  • Data Transformation
  • Feature Engineering
  • Outlier Detection
  • Data Validation
06
Statistics for Data Analysis Analytical Thinking
  • Descriptive Statistics
  • Probability
  • Correlation
  • Regression Basics
  • Hypothesis Testing
  • Business Interpretation
07
Power BI Business Intelligence
  • Power Query
  • Data Modeling
  • DAX Functions
  • Interactive Dashboards
  • Reports
  • Publishing to Power BI Service
08
Tableau Data Visualization
  • Data Connections
  • Calculated Fields
  • Visual Analytics
  • Interactive Dashboards
  • Storytelling with Data
  • Publishing Reports
09
Business Analytics & KPI Reporting Decision Making
  • KPI Design
  • Business Metrics
  • Sales Analysis
  • Financial Reporting
  • Customer Analytics
  • Executive Dashboards
10
AI Tools for Data Analysts Modern Analytics
  • ChatGPT for Analytics
  • Excel AI Features
  • Power BI Copilot
  • Automated Insights
  • Prompt Engineering
  • AI-Assisted Reporting
11
Industry Projects Portfolio Development
  • Sales Dashboard
  • HR Analytics
  • Financial Reporting
  • E-commerce Analytics
  • Customer Segmentation
  • Marketing Performance Analysis
12
Placement Preparation Career Launch

Create a professional analytics portfolio, solve real business case studies, prepare for SQL, Excel, Python, Power BI, and Tableau interviews, improve communication skills, and receive complete resume and placement assistance.

View Detailed Curriculum →

Structured, Module-by-Module Learning

Tools & Technologies You'll Master

aws
AWS
react
REACT
next
NEXT
nuxt
NUXT
svelte
SVELTE
tailwind-css
TAILWIND-CSS
tech-logo
TECH-LOGO
Tensoflow
TENSOFLOW
zapier
ZAPIER

Projects You Will Build

Advanced AI Chatbot
Advanced AI Chatbot

Build an LLM-powered chatbot using OpenAI and LangChain for real-time customer support.

Sentiment Analysis System
Sentiment Analysis System

Analyze public sentiment from Twitter streams using real-time NLP pipelines.

E-Commerce Analytics Platform
E-Commerce Analytics Platform

Track customer purchases, product performance, revenue trends, and conversion rates to generate actionable business insights.

Your Path to Success

Follow a structured roadmap designed to make you industry-ready.

1
Choose Course
2
Attend Training
3
Complete Assignments
4
Build Real Projects
5
Get Mentorship
6
Interview Prep
7
Launch Career

Frequently Asked Questions

Data Analytics helps businesses make informed decisions by analyzing data, identifying trends, and solving real-world problems. It is one of the fastest-growing career fields.

You'll gain hands-on experience with Excel, SQL, Python, Power BI, Tableau, and other popular data analysis tools.

Basic mathematics is enough to get started. The course explains analytical concepts in a simple and practical way.

The program focuses heavily on hands-on learning through datasets, case studies, assignments, and industry-based projects.

Yes. The course is designed for learners from both technical and non-technical backgrounds, with concepts explained from the basics.

You'll work on real-world projects such as sales analysis, customer insights, business dashboards, financial reports, and marketing data analysis.

Along with technical skills, you'll receive guidance on resume building, portfolio creation, mock interviews, and commonly asked interview questions.

After completing the training, you can apply for roles such as Data Analyst, Business Analyst, Reporting Analyst, BI Analyst, and Junior Data Scientist.

STUDENT SUCCESS STORIES

What Our Students Say

Thousands of learners have upgraded their skills through our practical training programs. Here's what they say about their experience.

AS
Akash Sharma
Full Stack Development

I joined with only basic coding knowledge and was nervous about building projects. The trainers guided me step by step, and by the end of the course I had completed several real-world applications. The practical learning approach helped me gain confidence in my development skills.

PV
Priya Verma
Data Science & AI

The best part of this training was working on real datasets instead of only learning theory. Every concept was explained with practical examples, which made it easier to understand. The projects helped me develop a strong foundation in data analysis and machine learning.

SS
Sahil Singh
AWS Cloud Computing

Before joining, cloud computing seemed difficult to understand. The hands-on labs and project work made everything much clearer. I learned how to work with AWS services and gained practical experience that I can confidently apply in real-world environments.

RS
Rahul Singh
DevOps Engineer

This course gave me a good understanding of modern DevOps practices. Working with Git, Docker, and CI/CD pipelines helped me learn how development and deployment processes work together. The practical sessions were extremely valuable throughout the training.

SK
Shivani Kaur
Digital marketing

I wanted a course that focused on practical marketing skills, and this training met my expectations. Learning SEO, content marketing, and social media strategies through real examples made the concepts easy to understand and apply confidently.

GB
Gaurav Bisht
JAVA Development

The Java training was well organized and beginner-friendly. The coding exercises and project work helped me improve my programming skills significantly. I also gained more confidence in solving technical problems and preparing for interviews.

PK
Priyansh Kumar
Full Stack Web Development

Building complete web applications during the course was a great learning experience. The trainers explained both frontend and backend concepts clearly, and every module included practical assignments that helped reinforce the concepts effectively.

AK
Aman Khanna
IT Security & Ethical Hacking

The practical labs made this course stand out for me. Instead of only learning theory, we explored real security concepts through hands-on exercises. The training provided a solid understanding of cybersecurity fundamentals and ethical hacking techniques.

NS
Neha Sharma
Linux Administration

I had very limited experience with Linux before enrolling in this course. The trainers explained every topic in a simple manner, and the hands-on exercises helped me understand server management, shell scripting, and administration tasks more effectively.

PR
Priya Rani
AWS Cloud Computing

The training sessions were interactive and focused heavily on practical implementation. Setting up and managing cloud resources helped me understand AWS services in a much better way. The projects added valuable real-world experience to the learning process.

SK
Simran Kaur
Microsoft Azure Cloud

This course helped me understand Azure services through practical examples and guided exercises. The labs were easy to follow and gave me confidence in working with cloud technologies. I found the overall learning experience very useful.

AR
Aisha Rana
UI/UX Design

The course provided a great balance between theory and practical work. Creating wireframes, user flows, and prototypes helped me understand the complete design process. The feedback from mentors was helpful and improved my design thinking significantly.

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