Data Analyst

Learn end-to-end Data Analytics by mastering Excel, SQL, Python, Power BI, Tableau, and data visualization techniques. Develop the skills to collect, analyze, interpret, and present data-driven insights that help organizations make informed business decisions.

Why Choose This Program?

Data Analytics is one of the fastest-growing career paths, empowering organizations to make smarter, data-driven decisions. At Sree Technologies, you will master Excel, SQL, Python, Power BI, Tableau, and data visualization through hands-on projects and real-world business case studies. Our industry-focused curriculum, expert mentorship, and placement-oriented training equip you with the practical skills and analytical mindset needed to build a successful career as a Data Analyst.

Course Curriculum

Introduction to Data Analytics

Introduction to Data Analytics
Data Analytics Lifecycle
Types of Data Analytics
Role of a Data Analyst
Data Analytics Process
Business Problem Solving
Industry Applications

Microsoft Excel

Excel Fundamentals
Data Entry & Formatting
Formulas & Functions
Logical Functions
Lookup Functions (VLOOKUP, XLOOKUP)
Pivot Tables & Pivot Charts
Conditional Formatting
Data Validation
Dashboards
What-If Analysis

SQL for Data Analysis

Introduction to Databases
SQL Fundamentals
Data Types
DDL, DML, DCL & TCL Commands
Filtering & Sorting Data
Aggregate Functions
Joins
Subqueries
Common Table Expressions (CTEs)
Window Functions
Views & Indexes
Stored Procedures Basics

Python for Data Analysis

Python Fundamentals
Variables & Data Types
Operators
Conditional Statements
Loops
Functions
File Handling
Object-Oriented Programming
NumPy
Pandas
Data Cleaning
Data Manipulation

Statistics for Data Analysis

Descriptive Statistics
Probability Basics
Measures of Central Tendency
Measures of Dispersion
Correlation & Covariance
Probability Distributions
Hypothesis Testing
A/B Testing
Sampling Techniques

Data Cleaning & Preparation

Data Collection
Data Cleaning
Handling Missing Values
Removing Duplicates
Data Transformation
Feature Engineering Basics
Data Validation
Data Quality Best Practices

Data Visualization

Introduction to Data Visualization
Charts & Graphs
Storytelling with Data
KPI Dashboards
Interactive Visualizations
Best Practices for Data Presentation

Power BI

Introduction to Power BI
Power BI Desktop
Data Import & Transformation
Power Query
Data Modeling
Relationships
DAX Fundamentals
Measures & Calculated Columns
Interactive Dashboards
Publishing Reports
Power BI Service

Tableau

Introduction to Tableau
Connecting Data Sources
Data Preparation
Charts & Visualizations
Filters & Parameters
Calculated Fields
Dashboards
Storytelling
Publishing Reports

Business Analytics

Business Intelligence Concepts
Key Performance Indicators (KPIs)
Business Metrics
Customer Analytics
Sales Analytics
Marketing Analytics
Financial Analytics
Operational Analytics

Data Warehousing & ETL

Introduction to Data Warehousing
ETL Process
Data Pipelines
Data Integration
Data Modeling Basics
Star & Snowflake Schemas

Cloud & Version Control

Git & GitHub
Introduction to Cloud Platforms
Google BigQuery Basics
Microsoft Azure Data Services Overview
AWS Data Analytics Overview
Collaboration & Version Control

Real-Time Projects

Sales Dashboard
HR Analytics Dashboard
Customer Churn Analysis
E-Commerce Sales Analysis
Financial Performance Dashboard
Marketing Campaign Analysis
Business Intelligence Reporting

CAREER OUTCOMES

Roles You Can Target

Data Analyst
Business Analyst
Data Visualization Analyst
Product Analyst
Marketing Data Analyst

ELIGIBILITY

Who Should Join?

Basic computer knowledge
Familiarity with using computers and the internet
No prior programming experience required
Basic mathematics and logical thinking are helpful but not mandatory