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Data Analytics

Turn Data into Business Decisions

Master data analysis, business intelligence, and visualization tools to drive data-driven decisions. Learn Excel, SQL, Tableau, Power BI, and statistical analysis to become a skilled Data Analyst.

Duration

6 Months

Minimum Training Period

Certification

Industry

Recognized Certificate

Batch Size

20-25

Students per Batch

Placement

95%

Success Rate

Course Overview

Data Analytics is the science of examining data to draw conclusions and support decision-making. This practical course focuses on business-oriented data analysis, teaching you how to collect, process, analyze, and visualize data to provide actionable insights for organizations.

Master industry-standard tools like Excel, SQL, Tableau, and Power BI. Learn statistical analysis, data modeling, and dashboard creation. Build real-world analytical projects that demonstrate your ability to solve business problems with data.

What You'll Learn

  • Advanced Excel & Data Analysis

    Pivot tables, VLookup, macros, and advanced formulas

  • SQL & Database Management

    Query writing, joins, subqueries, and database design

  • Business Intelligence Tools

    Tableau and Power BI for interactive dashboards

  • Statistics for Analytics

    Descriptive statistics, probability, and hypothesis testing

  • Python for Data Analysis

    Pandas, NumPy, and data manipulation libraries

  • Data Visualization

    Create impactful charts, graphs, and dashboards

  • Predictive Analytics

    Forecasting, trend analysis, and regression models

  • Business Case Studies

    Real-world analytics projects across industries

Course Highlights

  • Live interactive classes
  • 12+ Analytics projects
  • Real business datasets
  • Industry expert instructors
  • Lifetime access to materials
  • Placement assistance
  • Resume building support
  • 24/7 doubt resolution
Course Curriculum

Detailed Syllabus

Comprehensive module-wise breakdown of the course content

01

Excel for Data Analysis

  • • Excel Fundamentals & Navigation
  • • Formulas & Functions (VLOOKUP, INDEX, MATCH)
  • • Pivot Tables & Pivot Charts
  • • Data Cleaning & Preparation
  • • Conditional Formatting
  • • Data Validation & Protection
  • • Power Query & Power Pivot
  • • Macros & VBA Basics
02

SQL & Database Fundamentals

  • • Introduction to Databases
  • • SQL Basics & SELECT Statements
  • • WHERE, ORDER BY, GROUP BY Clauses
  • • SQL Joins (INNER, OUTER, LEFT, RIGHT)
  • • Subqueries & CTEs
  • • Aggregate Functions & Windows
  • • Data Manipulation (INSERT, UPDATE, DELETE)
  • • Database Design & Normalization
03

Statistics for Data Analytics

  • • Descriptive Statistics
  • • Measures of Central Tendency
  • • Variance & Standard Deviation
  • • Probability Distributions
  • • Normal Distribution & Z-scores
  • • Hypothesis Testing
  • • Correlation & Regression Analysis
  • • A/B Testing & Experiments
04

Python for Data Analysis

  • • Python Basics & Syntax
  • • NumPy for Numerical Computing
  • • Pandas for Data Manipulation
  • • Data Cleaning with Pandas
  • • Data Transformation & Aggregation
  • • Working with CSV, Excel, JSON
  • • Time Series Data Analysis
  • • Data Analysis Projects
05

Data Visualization

  • • Visualization Principles
  • • Chart Types & Selection
  • • Matplotlib & Seaborn
  • • Interactive Plots with Plotly
  • • Color Theory & Design
  • • Dashboard Design Principles
  • • Storytelling with Data
  • • Best Practices & Guidelines
06

Tableau Desktop

  • • Tableau Interface & Navigation
  • • Connecting to Data Sources
  • • Creating Basic Visualizations
  • • Calculated Fields & Parameters
  • • Advanced Charts & Maps
  • • Filters & Actions
  • • Building Interactive Dashboards
  • • Tableau Server & Publishing
07

Power BI

  • • Power BI Desktop Introduction
  • • Power Query & Data Transformation
  • • Data Modeling & Relationships
  • • DAX (Data Analysis Expressions)
  • • Creating Visualizations
  • • Custom Visuals & Themes
  • • Power BI Service & Sharing
  • • Mobile Reports & Optimization
08

Business Analytics & Projects

  • • Business Intelligence Concepts
  • • KPI & Metrics Definition
  • • Sales & Marketing Analytics
  • • Financial Analytics
  • • Customer Segmentation
  • • Forecasting & Predictive Models
  • • E-commerce Analytics Project
  • • Final Portfolio Dashboard

Prerequisites

This course is beginner-friendly:

  • Basic Computer Skills

    Comfortable using computers and software

  • Excel Knowledge (Optional)

    Basic Excel knowledge is helpful but not required

  • Analytical Mindset

    Interest in working with data and numbers

  • Dedication

    20-25 hours per week for 6 months

Career Opportunities

Data Analysts are in demand across all industries:

Data Analyst

₹4-10 LPA

Business Analyst

₹5-12 LPA

BI Analyst

₹5-11 LPA

Marketing Analyst

₹4-9 LPA

Start Your Journey

Enroll in Data Analytics Course

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