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Data Analysis Course – Learn to Turn Data into Insights

This Data Analysis course teaches students how to collect, clean, analyze, and visualize data using modern tools like Excel, Python, SQL, and Power BI. Perfect for beginners who want to start a career in analytics and data-driven decision making.

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Data Analysis Course

Beginner Friendly

No Coding Experience Required

3–4 Months

Course Duration

Certificate

KGIT Certified

Practical Training

Real Data Projects

Career Ready

Data Analyst & BI Roles

About Data Analysis Course

The Data Analysis course helps students understand how to work with data to discover patterns, trends, and insights.

Students will learn Excel analytics, SQL querying, Python data analysis, and professional data visualization tools.

At KGIT Computer, training is focused on practical exercises, real datasets, dashboards, and project-based learning.

Data Analysis Course Curriculum

Introduction to Data Analysis
Excel for Data Analysis
Statistics Fundamentals
Python for Data Analysis
NumPy & Pandas
Data Visualization
SQL for Data Analysis
Power BI & Dashboards
Data Cleaning & Preparation
Exploratory Data Analysis
Real World Projects
Career & Portfolio Building
  • What is Data Analysis
  • Types of Data Analytics
  • Role of a Data Analyst
  • Data Analytics Workflow
  • Excel Interface and Data Handling
  • Sorting, Filtering and Conditional Formatting
  • Excel Formulas and Functions
  • Pivot Tables and Charts
  • Data Analysis Toolpak
  • Basic Statistics Concepts
  • Mean, Median and Mode
  • Standard Deviation and Variance
  • Probability Basics
  • Correlation and Regression
  • Python Basics for Data Analysis
  • Python Data Types
  • Control Statements
  • Functions and Libraries
  • Introduction to NumPy
  • Working with Arrays
  • Data Manipulation using Pandas
  • DataFrames and Series
  • Matplotlib Basics
  • Seaborn Visualization
  • Bar Charts, Line Charts and Histograms
  • Data Storytelling
  • Introduction to Databases
  • SQL Queries
  • Filtering and Joins
  • Aggregations and Grouping
  • Power BI Introduction
  • Data Import and Transformation
  • Creating Dashboards
  • Interactive Reports
  • Handling Missing Data
  • Data Transformation
  • Data Normalization
  • Preparing Data for Analysis
  • Exploratory Data Analysis
  • Pattern Identification
  • Data Visualization Techniques
  • Data Interpretation
  • Sales Data Analysis Project
  • Customer Behavior Analysis
  • Business Dashboard Creation
  • Real Dataset Case Studies
  • Building a Data Analyst Portfolio
  • Resume and Interview Preparation
  • GitHub and Project Showcase
  • Freelancing and Job Opportunities
01
Basics Introduction to Data Analysis
+
  • What is Data Analysis
  • Types of Analytics
  • Role of Data Analyst
  • Analytics Workflow
02
Excel Excel for Data Analysis
+
  • Sorting & Filtering
  • Formulas & Functions
  • Pivot Tables & Charts
  • Data Analysis Toolpak
03
Stats Statistics Fundamentals
+
  • Mean, Median, Mode
  • Standard Deviation
  • Probability Basics
  • Correlation & Regression
04
Python Python, NumPy & Pandas
+
  • Python Basics
  • NumPy Arrays
  • Pandas DataFrames
  • Data Manipulation
05
Visualization Visualization & Power BI
+
  • Matplotlib & Seaborn
  • Charts & Graphs
  • Data Storytelling
  • Power BI Dashboards
06
SQL SQL & Data Handling
+
  • SQL Queries
  • Joins & Filtering
  • Aggregations
  • Database Basics
07
Advanced Data Cleaning & EDA
+
  • Handling Missing Data
  • Data Transformation
  • Exploratory Data Analysis
  • Pattern Identification
08
Career Projects & Career Growth
+
  • Real World Projects
  • Dashboard Creation
  • Portfolio Building
  • Interview Preparation

Certification For This Course

Receive a C Programming Certificate after successful course completion.

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Get in Touch

Ready to start your learning journey? Contact us today!

Visit Our Institutes

📍 Our Locations

KGIT Computer Academy & Solutions
B8/01, Gharkul,
Sector-15, Kharghar,
Behind D-Mart,
Navi Mumbai – 410210

📞 Phone

+91 8454085780

⏰ Working Hours

8:00 AM – 9:00 PM

Monday – Saturday

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