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Data Analytics training at A2IT InternEdge
Data Analytics students

Data Analytics Course

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Master Data Analytics
From Scratch to Expert

A comprehensive, hands-on 6-month program covering Excel, SQL, Python, Power BI, Tableau & Machine Learning — built for real-world industry roles with 100% placement support.

6 Months
Duration
4,800+
Students Trained
98%
Placement Rate
4.9 ★
Avg. Rating
16+
Modules
8
Tools Covered
5+
Live Projects
Online & Offline
Mode
English / Hindi
Language
₹15,000
After Discount

Data Analytics Training Course

In today's data-driven world, organizations rely on data analytics to make smarter decisions, uncover hidden opportunities, and stay competitive. This comprehensive Data Analytics course is designed to take you from zero knowledge to job-ready expertise through practical, project-based training. From Excel and SQL to Python, Power BI, and Machine Learning — every topic is taught with a focus on real-world implementation. Whether you want to build a career as a Data Analyst, support your business with data insights, or upgrade your existing skills, this program gives you the tools, techniques, and confidence to work with data professionally.

Data Analytics training session with Python and Power BI at A2IT InternEdge
Students learning SQL and data visualization in Data Analytics course
Book a Demo Class

Course Curriculum — 16 Modules

Excel & Data Foundations

Module 1 · Weeks 1–2

Pivot tables, VLOOKUP, HLOOKUP, data cleaning, conditional formatting, and building automated dashboards. The starting point for every data analyst.

ExcelGoogle SheetsPivot TablesDashboards

SQL & Database Querying

Module 2 · Weeks 3–4

Write powerful queries, JOINs, subqueries, GROUP BY aggregations, window functions, and stored procedures. Work on real MySQL & PostgreSQL databases.

MySQLPostgreSQLSQL JoinsSubqueries

Python for Data Analysis

Modules 3–4 · Weeks 5–8

Python fundamentals, NumPy arrays, Pandas DataFrames, data wrangling, merging datasets, and handling missing data for professional-grade analysis.

PythonPandasNumPyJupyter

Data Visualization

Module 5 · Weeks 9–10

Matplotlib, Seaborn, and Plotly for Python charts. Build interactive dashboards in Power BI and Tableau. Turn raw numbers into compelling visual stories.

MatplotlibSeabornPower BITableau

Power BI — Business Intelligence

Module 6 · Weeks 11–12

Power Query, DAX formulas, calculated columns, measures, relationships, interactive reports, and publishing dashboards to Power BI Service.

Power BIDAXPower QueryReports

Tableau for Visual Analytics

Module 7 · Weeks 13–14

Tableau Desktop fundamentals, calculated fields, filters, parameters, LOD expressions, story points, and publishing to Tableau Public/Server.

TableauLOD ExpressionsStory Points

Statistics & Probability

Module 8 · Weeks 15–16

Descriptive statistics, probability distributions, normal distribution, hypothesis testing, p-values, confidence intervals, correlation, and regression basics.

StatisticsProbabilityHypothesis Testing

Machine Learning Basics

Modules 9–10 · Weeks 17–20

Supervised & unsupervised learning, Linear Regression, Logistic Regression, Decision Trees, K-Means Clustering, model evaluation, and cross-validation using Scikit-learn.

Scikit-learnRegressionClassificationClustering

Google Analytics 4 (GA4)

Module 11 · Weeks 21–22

GA4 setup, event tracking, audience reports, conversion analysis, funnel exploration, Looker Studio integration, and deriving actionable insights from web data.

GA4Looker StudioFunnel Analysis

Advanced Excel & Power Query

Module 12 · Weeks 23–24

Advanced formulas (INDEX/MATCH, XLOOKUP), Power Query transformations, Power Pivot data models, data validation, and Excel automation with macros.

Power QueryPower PivotMacrosXLOOKUP

Cloud & Big Data Fundamentals

Module 13 · Weeks 25–26

Introduction to Google BigQuery, cloud databases, Spark basics, data lakes vs data warehouses, and running SQL queries at scale on cloud platforms.

BigQueryGoogle CloudData Warehouse

AI-Assisted Data Analysis

Module 14 · Weeks 27–28

Using ChatGPT and Gemini for data analysis automation, generating Python scripts with AI, AI-powered data cleaning, and predictive insights from natural language prompts.

ChatGPTGemini AIAI Automation

Data Analytics Projects

Module 15 · Weeks 29–30

End-to-end capstone projects: Sales Dashboard in Power BI, Customer Churn Prediction with Python ML, SQL Business Intelligence Report, and Live Data Pipeline Project.

Capstone ProjectsLive DataPortfolio

Career, Freelancing & Reporting

Module 16 · Weeks 31–32

Resume building, interview preparation, data analyst portfolio, client proposal writing, freelancing platforms, and delivering professional data reports to stakeholders.

ResumeInterview PrepFreelancingPortfolio

Complete Syllabus — What You Will Learn

Module / TopicTopics Covered
Data Analytics FundamentalsWhat is Data Analytics, Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive), Role of a Data Analyst, Data Analytics Lifecycle
Excel for Data AnalysisData Sorting, Filtering, Pivot Tables, VLOOKUP, HLOOKUP, XLOOKUP, INDEX/MATCH, Conditional Formatting, Data Validation, Charts & Dashboards
Advanced ExcelPower Query, Power Pivot, Data Models, Macros, What-If Analysis, Goal Seek, Solver, Dynamic Arrays
SQL FundamentalsSELECT, WHERE, ORDER BY, GROUP BY, HAVING, JOINs (INNER, LEFT, RIGHT, FULL), UNION, Subqueries, CTEs
Advanced SQLWindow Functions (ROW_NUMBER, RANK, LAG, LEAD), Stored Procedures, Triggers, Views, Query Optimization, Indexing
Python BasicsVariables, Data Types, Lists, Dictionaries, Tuples, Functions, Loops, File Handling, Error Handling, OOP Basics
NumPy & PandasArrays, Series, DataFrames, Data Cleaning, Handling Null Values, Merging, Grouping, Reshaping, Time Series Analysis
Data Visualization (Python)Matplotlib (Line, Bar, Scatter, Histogram, Pie), Seaborn (Heatmaps, Pairplots, Box Plots), Plotly Interactive Charts
Power BIData Import, Power Query Transformations, Data Modeling, Relationships, DAX Functions, Measures, Calculated Columns, Interactive Reports, Publishing
TableauConnecting Data Sources, Dimensions vs Measures, Calculated Fields, Filters, Parameters, LOD Expressions, Story Points, Tableau Public
StatisticsMean, Median, Mode, Standard Deviation, Variance, Normal Distribution, Central Limit Theorem, Sampling, Probability, Bayes Theorem
Inferential StatisticsHypothesis Testing, t-Test, Chi-Square Test, ANOVA, p-Values, Confidence Intervals, A/B Testing, Correlation & Causation
Machine LearningSupervised Learning, Unsupervised Learning, Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Means, PCA
Model EvaluationTrain/Test Split, Cross Validation, Confusion Matrix, Accuracy, Precision, Recall, F1 Score, ROC Curve, AUC Score
Google Analytics 4GA4 Setup, Event Tracking, Audience Analysis, Conversion Funnels, Exploration Reports, User Journey Analysis, UTM Parameters
Looker StudioConnecting GA4 & BigQuery, Building Reports, Custom Metrics, Date Range Controls, Sharing & Publishing Dashboards
BigQuery & Cloud DataGoogle Cloud Console, BigQuery SQL, Dataset Management, Running Large Scale Queries, Connecting BigQuery to Looker Studio
AI-Assisted AnalyticsChatGPT for Python Code Generation, AI Data Cleaning, Gemini for Data Insights, AI-Generated Dashboards, Prompt Engineering for Analysts
Data Cleaning & EDAHandling Missing Values, Outlier Detection, Data Normalization, Encoding Categorical Variables, Exploratory Data Analysis workflows
SEO Data AnalysisGoogle Search Console Data, GA4 Traffic Analysis, Keyword Performance Reports, Content Analytics, Digital Marketing Data Interpretation
Capstone ProjectsSales Performance Dashboard (Power BI), Customer Churn Prediction (Python ML), E-Commerce SQL Analysis, Social Media Analytics Report
Career & FreelancingData Analyst Resume, Interview Q&A, Portfolio Building, GitHub for Data Projects, Freelancing on Upwork/Fiverr, Client Reporting

Tools You Will Master

Industry-standard stack used by top data teams at Google, Amazon, Flipkart, and Fortune 500 companies.

MS Excel
MySQL / SQL
Python
Power BI
Tableau
Google Analytics 4
Looker Studio
BigQuery
Scikit-learn
GitHub
ChatGPT / AI
Jupyter Notebook

Who Can Join This Course?

No technical background required. We start from the very basics and move step by step to advanced topics.

Students & Freshers

Start a career in Data Analytics or Business Intelligence

Working Professionals

Upskill from finance, marketing, or operations into data roles

Business Owners

Make data-driven decisions for your business growth

Developers & Engineers

Add data analysis and ML skills to your technical profile

Marketers & Content Creators

Leverage GA4, SEO data, and campaign analytics

Freelancers

Offer data dashboards, reports, and BI services to clients

💰 Data Analyst Salary in India

Data Analytics is one of the fastest-growing and highest-paying fields in India right now.

₹20K–35K
Fresher / Month
₹50K–90K
1–3 Years Exp.
₹1L–2.5L
Senior Analyst / Month
₹50K–2L+
Freelance / Month

What You Will Achieve

Job-Ready Portfolio

5+ real-world projects to show employers and clients

Industry Certificate

A2IT InternEdge verified credential with LinkedIn badge

Placement Support

Resume prep, mock interviews & company referrals

Python & SQL Skills

Write professional queries and scripts independently

Dashboard Expertise

Build Power BI & Tableau dashboards for business decisions

ML Fundamentals

Build, train, and evaluate predictive ML models

Additional Value Modules Included

  • Google Analytics 4 (GA4) Practical Training
  • Looker Studio Dashboard Building
  • BigQuery & Cloud Data Fundamentals
  • AI-Assisted Data Analysis with ChatGPT
  • SEO Data & Content Analytics
  • Data Cleaning & EDA Masterclass
  • Freelancing & Client Handling Basics
  • Data Analyst Interview Preparation
  • Live Website & Business Data Project
  • Free Video Course with International Certification
  • Major Project & Internship Certificate
  • GitHub Portfolio for Data Projects
  • Soft Skills & Data Storytelling
  • Capstone Presentations to Real Mentors
  • Access to Premium Tools (Power BI, Tableau, Ahrefs)
  • SEO Reporting & Performance Tracking
★★★★★

"The Data Analytics course at A2IT InternEdge completely changed my career path. I had no coding background, but the way they explained Python and SQL step by step made everything feel easy. I built 3 real dashboards in Power BI and landed a Data Analyst job at an IT company in Chandigarh within 2 months of completing the course."

Priya Sharma  — Panjab University, Chandigarh

How This Course Is Different

🎯

Practical, Not Theory-Heavy

Every concept is taught with live demos, real datasets, and hands-on exercises — not just slides.

🌍

Live International Projects

Students work on real data from A2IT Soft's international client base — not made-up case studies.

🧑‍🏫

Industry Expert Trainers

Taught by working data professionals from A2IT Soft's development and analytics teams.

🤖

AI-Integrated Curriculum

Covers ChatGPT and Gemini for data analysis — keeping you ahead of the AI-driven analytics landscape.

📋

100% Placement Support

Dedicated placement cell with resume review, mock interviews, and direct company referrals.

🎓

Online & Offline Batches

Attend from anywhere in India or join in-person at our Mohali campus — same curriculum, same quality.

Book a Demo Class

Start Your Data Analytics Career Today

Next batch starts July 14, 2026 — Limited seats available. Online & Offline.

₹35,000
₹15,000
Full 6-Month Course · Lifetime Access · EMI Available

📲 Enroll on WhatsApp    📞 +91 78 141414 00
30-day money-back guarantee · No questions asked · 2001 Est. · 25 Years Quality Teaching
Data Analytics course training classroom

Apply for Internship

Welcome to the gateway of possibilities — your Internship at A2IT InternEdge.

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FAQ

Frequently Asked Questions

Common questions about the Data Analytics Course at A2IT InternEdge.

Yes, absolutely. The course is designed for people with zero background in data or programming. We start from the very basics — explaining what data analytics means, how Excel works, and how to run your first SQL query — before moving to Python, Power BI, and Machine Learning. Everything is taught step by step in plain language.

No prior programming knowledge is needed. Python and SQL are taught from scratch as part of the curriculum. Many of our students came from commerce, arts, or non-technical backgrounds and went on to work as professional data analysts. We explain every line of code clearly so you understand what it does — not just how to copy it.

Data Analytics focuses on examining existing data to answer business questions, spot trends, and support decisions using tools like Excel, SQL, Power BI, and Python. Data Science is a broader field that includes building predictive models, deep learning, and AI systems. Our course covers Data Analytics thoroughly, and also introduces Machine Learning basics — giving you a strong foundation to move into Data Science later if you choose.

The entire course is built around practical, hands-on learning. You will work with real datasets, build actual dashboards in Power BI and Tableau, write Python code for data analysis, and complete capstone projects. You will not be sitting through endless slides — you will be doing real work from day one. By the end of the course, you will have a portfolio of 5+ projects to show to employers.

A fresher Data Analyst in India typically earns between Rs. 20,000 and Rs. 35,000 per month. With 1 to 2 years of experience, this rises to Rs. 50,000–90,000 per month. Senior Data Analysts and BI Developers in cities like Chandigarh, Delhi, Bengaluru, and Pune earn Rs. 1,00,000–2,50,000 per month. Freelance data analysts working with international clients can earn significantly more depending on their project volume and specialization.

Yes. A2IT InternEdge offers the full Data Analytics course online, available to students across India and internationally. The online batch covers the same curriculum, live projects, and mentor support as the in-person batch at our Mohali campus. Classes are taught in English and Hindi. Students outside Chandigarh get the same placement support, internship certificate, and access to real client project work.

Yes. The course covers both Power BI and Tableau comprehensively. For Power BI you will learn Power Query, DAX formulas, data modeling, relationships, and publishing dashboards to Power BI Service. For Tableau you will learn data connections, calculated fields, LOD expressions, filters, parameters, and story points. Both tools are highly demanded by employers, and knowing both makes you significantly more hireable.

Yes — Data Analytics is one of the most in-demand skills globally in 2026. With AI generating more data than ever before, companies need skilled analysts to interpret that data and turn it into decisions. Every industry — banking, e-commerce, healthcare, logistics, marketing, manufacturing — now hires data analysts. India alone has over 1,50,000 open data roles at any given time, with demand growing 30–40% year on year.

Yes. After completing the course you will be able to offer freelance services like custom Power BI and Tableau dashboards, Excel automation, SQL database analysis, business intelligence reports, and GA4 analytics setup to clients. The course includes a module on freelancing, client handling, proposal writing, and building your profile on platforms like Upwork and Fiverr — so you are job-ready and freelance-ready.

Free YouTube tutorials give scattered, often outdated information with no structure, no real projects, and no accountability. A2IT's course provides a structured 6-month curriculum taught by working industry professionals, hands-on work on real international client data, access to premium tools like Power BI, Tableau, and Ahrefs, an industry-recognized internship certificate, and direct placement support. Most importantly, you solve real data problems — not hypothetical exercises — which builds the confidence employers actually pay for.