Data Analyst

Become Industry-Ready Data Analyst | Duration: 8 Months | Industry-Focused Curriculum

About the Program

Our Data Analytics Mentorship Program is designed to make students job-ready with hands-on training, real projects, case studies, and placement support.

A data analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions. They work with tools like Microsoft Excel, SQL, and Python to analyze large datasets. A key part of their role is cleaning and organizing raw data to make it usable. They create visualizations and dashboards using tools such as Power BI or Tableau.

Data analysts identify trends, patterns, and insights that support business strategies. They often work closely with different teams to understand business problems. Strong analytical and problem-solving skills are essential in this role. Knowledge of statistics and data visualization is also important. Data analysts communicate their findings in a simple and clear way to stakeholders.

They are in demand across industries like healthcare, finance, and e-commerce. A data analyst helps improve efficiency and decision-making within an organization. With the growth of data, this career is becoming increasingly valuable.

Program Curriculum Roadmap

Month 1 — Excel for Business Analytics

  • Introduction to Data Analytics
  • Excel Interface & Data Types
  • Formulas & Functions
  • Logical Functions (IF, AND, OR)
  • Lookup Functions (VLOOKUP, XLOOKUP)
  • Pivot Tables & Pivot Charts
  • Conditional Formatting
  • Excel Dashboards
  • Business Analytics Case Study

Month 2 — Statistics for Data Analysis

  • Introduction to Statistics
  • Types of Data
  • Mean, Median, Mode
  • Variance & Standard Deviation
  • Probability Basics
  • Normal Distribution
  • Hypothesis Testing
  • Confidence Intervals
  • Statistical Case Study

Month 3 — SQL for Data Analysis

  • Database Fundamentals
  • SELECT, WHERE, ORDER BY
  • Filtering Data
  • Aggregate Functions
  • GROUP BY & HAVING
  • SQL Joins
  • Subqueries
  • Window Functions
  • SQL Analytics Case Study

Month 4 — Python for Data Analytics

  • Python Basics
  • Data Types & Control Flow
  • Functions & Modules
  • NumPy Fundamentals
  • Pandas Data Analysis
  • Data Manipulation
  • Exploratory Data Analysis
  • Visualization with Matplotlib & Seaborn
  • Python Analytics Project

Month 5 — Data Cleaning & Exploratory Analysis

  • Data Quality Assessment
  • Handling Missing Values
  • Outlier Detection
  • Data Transformation
  • Feature Engineering
  • Exploratory Data Analysis (EDA)
  • Pattern Discovery
  • Correlation Analysis
  • EDA Project

Month 6 — Data Visualization (Tableau & Power BI)

  • Data Visualization Principles
  • Introduction to Tableau
  • Charts & Dashboards
  • Interactive Dashboards
  • Introduction to Power BI
  • Data Transformation
  • DAX Basics
  • Business Intelligence Reporting
  • Dashboard Project

Month 7 — Business Case Studies & Machine Learning

  • Business Problem Solving
  • Marketing Analytics Case Study
  • Customer Analytics
  • Sales Analytics
  • Introduction to Machine Learning
  • Linear Regression
  • Logistic Regression
  • Clustering (K-Means)
  • Model Evaluation

Month 8 — Capstone Project & Career Preparation

  • Capstone Project Planning
  • Data Collection & Cleaning
  • Data Analysis & Visualization
  • Machine Learning Implementation
  • Final Dashboard Creation
  • Project Presentation
  • Portfolio Development
  • Resume Building
  • Interview Preparation
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Fee structure of this program

Total Program Fee

₹50,000/-₹26,500/-

Installments available