Data Analysis Course

6 Months Comprehensive Training | Beginner to Advanced

6 Months Hybrid Mode Live Projects Certification Internship

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Course Highlights

Trainer

Industry Experts in Data & Analytics with 10+ years experience

Tools Covered
Excel SQL Python Power BI Tableau Jupyter GitHub Google Sheets
Internship

Internship in real time projects with AB Software or Partner Companies

Certifications

Course Completion + Internship Letter (Optional)

Career Support

Resume building, interview preparation, and job placement support

Deliverables

Projects, Dashboards, Reports, GitHub Portfolio, Capstone Project

Course Syllabus

Month 1: Introduction to Data Analysis & Excel Mastery

Introduction to Data Analysis
  • What is Data Analysis?
  • Roles of a Data Analyst
  • Types of Data: Structured vs Unstructured
  • Lifecycle of Data Analysis Projects
  • Tools used in the industry
Advanced Excel for Data Analytics
  • Excel Basics & Advanced Formulas
  • Data Cleaning and Validation
  • Pivot Tables & Pivot Charts
  • VLOOKUP, HLOOKUP, INDEX-MATCH, IF, SUMIFS
  • Conditional Formatting
  • Excel Dashboards (Mini Project)

Month 2: SQL for Data Analysts

SQL Basics
  • What is SQL and RDBMS?
  • SELECT, WHERE, ORDER BY, LIMIT
  • Filtering and Sorting Data
  • Working with Joins (INNER, LEFT, RIGHT, FULL)
  • GROUP BY, HAVING, COUNT, SUM, AVG
Advanced SQL
  • Subqueries & Nested Queries
  • CASE Statements
  • CTEs and Window Functions
  • Data Aggregation & Transformation
  • SQL Project: Sales/Marketing Data Analysis

Month 3: Python for Data Analysis – Level 1

Python Basics
  • Installing Python & Jupyter Notebook
  • Data Types, Variables, Functions
  • Loops, Conditions, Exception Handling
  • Working with Files and Directories
Python for Data Wrangling
  • Introduction to NumPy (Arrays, Math Operations)
  • Introduction to Pandas (Series, DataFrames)
  • Data Cleaning: Handling nulls, duplicates, renaming
  • Data Manipulation: Merge, Groupby, Filter, Apply
  • Real-world Dataset Hands-on (Mini Project)

Month 4: Data Visualization & EDA (Exploratory Data Analysis)

Matplotlib & Seaborn in Python
  • Bar Charts, Histograms, Line Graphs, Pie Charts
  • Heatmaps, Pairplots, Boxplots
  • Customizing Plots & Aesthetics
  • Project: Visualize E-Commerce Dataset
Power BI or Tableau (Choose One)
  • Data Import & Transformation
  • Creating Dashboards and KPIs
  • Filters, Slicers, Drill-downs
  • Publishing and Sharing Reports
  • Mini Project: Sales or Marketing Dashboard

Month 5: Business Use Cases & Domain Exposure

Business Domains
  • BFSI (Banking, Finance, Insurance)
  • E-Commerce
  • Marketing Analytics
  • Healthcare / HR / Retail Data Use Cases
Real-world Case Studies
  • Sales Forecasting
  • Customer Segmentation
  • Churn Analysis
  • Market Basket Analysis

Month 6: Capstone Project + Career Readiness

Capstone Project Development
  • Collecting and cleaning real dataset
  • Defining business problem
  • Data Analysis & Visualization
  • Insights & Recommendations
Resume, Interview & Job Prep
  • Building Resume for Data Analyst Role
  • Project Portfolio on GitHub
  • Interview Questions (SQL, Excel, Python, Scenario-Based)
  • Mock Interviews & HR Rounds
  • LinkedIn Profile Optimization

Who Should Join?

  • College Graduates (IT/Non-IT)
  • Working Professionals shifting to Data roles
  • Entrepreneurs looking to use data in decision-making
  • Freelancers & IT enthusiasts

Career Paths

Data Analyst

$60k-$90k

Business Analyst

$65k-$95k

Reporting Analyst

$55k-$85k

Junior Data Scientist

$70k-$110k

MIS Analyst

$50k-$80k

Marketing Analyst

$55k-$90k

Bonus Features

Live Projects + Capstone

Work on real-world datasets and business problems

1-on-1 Mentoring

Personalized guidance from industry experts

Resume + Portfolio Review

Get expert feedback on your resume and GitHub portfolio

Lifetime Learning Resources

Access to datasets, templates, and coding resources