Data Analytics Course
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.
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.
Course Curriculum — 16 Modules
Excel & Data Foundations
Pivot tables, VLOOKUP, HLOOKUP, data cleaning, conditional formatting, and building automated dashboards. The starting point for every data analyst.
SQL & Database Querying
Write powerful queries, JOINs, subqueries, GROUP BY aggregations, window functions, and stored procedures. Work on real MySQL & PostgreSQL databases.
Python for Data Analysis
Python fundamentals, NumPy arrays, Pandas DataFrames, data wrangling, merging datasets, and handling missing data for professional-grade analysis.
Data Visualization
Matplotlib, Seaborn, and Plotly for Python charts. Build interactive dashboards in Power BI and Tableau. Turn raw numbers into compelling visual stories.
Power BI — Business Intelligence
Power Query, DAX formulas, calculated columns, measures, relationships, interactive reports, and publishing dashboards to Power BI Service.
Tableau for Visual Analytics
Tableau Desktop fundamentals, calculated fields, filters, parameters, LOD expressions, story points, and publishing to Tableau Public/Server.
Statistics & Probability
Descriptive statistics, probability distributions, normal distribution, hypothesis testing, p-values, confidence intervals, correlation, and regression basics.
Machine Learning Basics
Supervised & unsupervised learning, Linear Regression, Logistic Regression, Decision Trees, K-Means Clustering, model evaluation, and cross-validation using Scikit-learn.
Google Analytics 4 (GA4)
GA4 setup, event tracking, audience reports, conversion analysis, funnel exploration, Looker Studio integration, and deriving actionable insights from web data.
Advanced Excel & Power Query
Advanced formulas (INDEX/MATCH, XLOOKUP), Power Query transformations, Power Pivot data models, data validation, and Excel automation with macros.
Cloud & Big Data Fundamentals
Introduction to Google BigQuery, cloud databases, Spark basics, data lakes vs data warehouses, and running SQL queries at scale on cloud platforms.
AI-Assisted Data Analysis
Using ChatGPT and Gemini for data analysis automation, generating Python scripts with AI, AI-powered data cleaning, and predictive insights from natural language prompts.
Data Analytics Projects
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.
Career, Freelancing & Reporting
Resume building, interview preparation, data analyst portfolio, client proposal writing, freelancing platforms, and delivering professional data reports to stakeholders.
Complete Syllabus — What You Will Learn
| Module / Topic | Topics Covered |
|---|---|
| Data Analytics Fundamentals | What is Data Analytics, Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive), Role of a Data Analyst, Data Analytics Lifecycle |
| Excel for Data Analysis | Data Sorting, Filtering, Pivot Tables, VLOOKUP, HLOOKUP, XLOOKUP, INDEX/MATCH, Conditional Formatting, Data Validation, Charts & Dashboards |
| Advanced Excel | Power Query, Power Pivot, Data Models, Macros, What-If Analysis, Goal Seek, Solver, Dynamic Arrays |
| SQL Fundamentals | SELECT, WHERE, ORDER BY, GROUP BY, HAVING, JOINs (INNER, LEFT, RIGHT, FULL), UNION, Subqueries, CTEs |
| Advanced SQL | Window Functions (ROW_NUMBER, RANK, LAG, LEAD), Stored Procedures, Triggers, Views, Query Optimization, Indexing |
| Python Basics | Variables, Data Types, Lists, Dictionaries, Tuples, Functions, Loops, File Handling, Error Handling, OOP Basics |
| NumPy & Pandas | Arrays, 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 BI | Data Import, Power Query Transformations, Data Modeling, Relationships, DAX Functions, Measures, Calculated Columns, Interactive Reports, Publishing |
| Tableau | Connecting Data Sources, Dimensions vs Measures, Calculated Fields, Filters, Parameters, LOD Expressions, Story Points, Tableau Public |
| Statistics | Mean, Median, Mode, Standard Deviation, Variance, Normal Distribution, Central Limit Theorem, Sampling, Probability, Bayes Theorem |
| Inferential Statistics | Hypothesis Testing, t-Test, Chi-Square Test, ANOVA, p-Values, Confidence Intervals, A/B Testing, Correlation & Causation |
| Machine Learning | Supervised Learning, Unsupervised Learning, Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Means, PCA |
| Model Evaluation | Train/Test Split, Cross Validation, Confusion Matrix, Accuracy, Precision, Recall, F1 Score, ROC Curve, AUC Score |
| Google Analytics 4 | GA4 Setup, Event Tracking, Audience Analysis, Conversion Funnels, Exploration Reports, User Journey Analysis, UTM Parameters |
| Looker Studio | Connecting GA4 & BigQuery, Building Reports, Custom Metrics, Date Range Controls, Sharing & Publishing Dashboards |
| BigQuery & Cloud Data | Google Cloud Console, BigQuery SQL, Dataset Management, Running Large Scale Queries, Connecting BigQuery to Looker Studio |
| AI-Assisted Analytics | ChatGPT for Python Code Generation, AI Data Cleaning, Gemini for Data Insights, AI-Generated Dashboards, Prompt Engineering for Analysts |
| Data Cleaning & EDA | Handling Missing Values, Outlier Detection, Data Normalization, Encoding Categorical Variables, Exploratory Data Analysis workflows |
| SEO Data Analysis | Google Search Console Data, GA4 Traffic Analysis, Keyword Performance Reports, Content Analytics, Digital Marketing Data Interpretation |
| Capstone Projects | Sales Performance Dashboard (Power BI), Customer Churn Prediction (Python ML), E-Commerce SQL Analysis, Social Media Analytics Report |
| Career & Freelancing | Data 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.
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 IntelligenceWorking Professionals
Upskill from finance, marketing, or operations into data rolesBusiness Owners
Make data-driven decisions for your business growthDevelopers & Engineers
Add data analysis and ML skills to your technical profileMarketers & Content Creators
Leverage GA4, SEO data, and campaign analyticsFreelancers
Offer data dashboards, reports, and BI services to clientsWhat You Will Achieve
Job-Ready Portfolio
5+ real-world projects to show employers and clientsIndustry Certificate
A2IT InternEdge verified credential with LinkedIn badgePlacement Support
Resume prep, mock interviews & company referralsPython & SQL Skills
Write professional queries and scripts independentlyDashboard Expertise
Build Power BI & Tableau dashboards for business decisionsML Fundamentals
Build, train, and evaluate predictive ML modelsAdditional 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, ChandigarhHow 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.
Explore More Courses at A2IT InternEdge
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Start Your Data Analytics Career Today
Next batch starts July 14, 2026 — Limited seats available. Online & Offline.
📲 Enroll on WhatsApp 📞 +91 78 141414 00
Apply for Internship
Welcome to the gateway of possibilities — your Internship at A2IT InternEdge.




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.