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Data Analytics Training in Bangalore

Gain hands-on experience with real-world projects with our Data Analytics Training in Bangalore.

  • Proficiency in fundamental tools - Excel, SQL, Power BI, Tableau, and Statistics.
  • Interactive online and classroom training provided by top industry professionals.
  • Guaranteed placement with placement preparation and practical project experience.
  • Clear understanding of data wrangling, visualization, reporting, and Business Intelligence.
  • Worldwide industry-recognized certificate.
Download Curriculum
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Data Analytics Training


Unlock data potential with hands-on analytics projects using real-world datasets


  • Master essential tools: Excel, SQL, Python, Power BI, Tableau, and Statistics

  • Live online and offline interactive sessions from top industry professionals

  • Guaranteed placement support through our career advancement services

  • Understand data wrangling, visualization, reporting, and business intelligence

Download Curriculum
Talk to Our Advisor

World-Class Instructors

1:1 with Industry Mentors

55% Avg. Salary Hike

Interview Preparation

World-Class Instructors

1:1 with Industry Mentors

55% Avg. Salary Hike

Interview Preparation

What You’ll Learn

Accelerate your career in data with our Data Analytics Training at TechPragna in Bangalore. This comprehensive course equips you with the tools and techniques to collect, analyze, and visualize data for actionable business insights—perfect for both beginners and working professionals.

Data Analytics Training – Key Features

  • Master essential tools: Excel, SQL, Python, Power BI, Tableau, and Statistics

  • Live online and offline interactive sessions from top industry professionals

  • Guaranteed placement support through our career advancement services

  • Master essential tools: Excel, SQL, Python, Power BI, Tableau, and Statistics

  • Live online and offline interactive sessions from top industry professionals

  • Guaranteed placement support through our career advancement services


Request more information

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What You’ll Learn

Accelerate your career in Cloud Computing with our cloud computing Course in Bangalore. This comprehensive course equips you with the tools and techniques to collect, analyze, and visualize data for actionable business insights perfect for both beginners and working professionals.

Cloud Computing Training – Key Features

  • ✔ Master essential tools:AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, and Terraform
  • ✔ Live online and offline interactive sessions from top industry professionals
  • ✔ Guaranteed placement support through our career advancement services

Request more information

Data Analytics Course Curriculum

Data Analytics Course Curriculum

  • What is Data Analytics?

  • Importance of Data-Driven Decision Making

  • Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive

  • Key Roles in Data Analytics

  • Data Analytics Lifecycle

  • Real-World Applications of Data Analytics

  • Career Scope and Opportunities

  • Essential Tools and Technologies Overview

  • Structured vs Unstructured Data

  • Quantitative vs Qualitative Data

  • Data Sources in Modern Businesses

  • Primary and Secondary Data Collection Methods

  • Importance of Data Cleaning

  • Data Privacy and Security Fundamentals

  • Identifying Biases in Data

  • Best Practices in Data Collection and Storage

  • Structured vs Unstructured Data

  • Quantitative vs Qualitative Data

  • Data Sources in Modern Businesses

  • Primary and Secondary Data Collection Methods

  • Importance of Data Cleaning

  • Data Privacy and Security Fundamentals

  • Identifying Biases in Data

  • Best Practices in Data Collection and Storage

  • Handling Missing Data Techniques
  • Removing Duplicates and Errors
  • Data Transformation and Normalization
  • Data Encoding Methods (Label Encoding, One-Hot Encoding)
  • Outlier Detection and Treatment
  • Data Scaling Techniques (MinMax, StandardScaler)
  • Data Integration from Multiple Sources
  • Preparing Data for Analysis and Modeling
  • Importance of Data Visualization
  • Introduction to Visualization Tools (Tableau, Power BI, Python)
  • Choosing the Right Chart Types
  • Designing Effective Dashboards
  • Best Practices for Storytelling with Data
  • Interactive vs Static Visualizations
  • Avoiding Misleading Visuals
  • Hands-on Data Visualization Projects
  • Descriptive Statistics Overview
  • Mean, Median, Mode, Variance, Standard Deviation
  • Probability Basics
  • Inferential Statistics Introduction
  • Hypothesis Testing Concepts
  • Correlation vs Causation
  • Linear and Logistic Regression Basics
  • Using Statistics in Business Analytics

  • Advanced Excel Functions (VLOOKUP, INDEX, MATCH)

  • Pivot Tables and Pivot Charts

  • Data Cleaning in Excel

  • Conditional Formatting Techniques

  • Dashboard Creation in Excel

  • Excel Macros and Automation

  • Data Analysis ToolPak Usage

  • Real-Life Data Projects with Excel

  • SQL Basics: SELECT, WHERE, GROUP BY

  • Data Filtering and Sorting

  • JOINs (INNER, LEFT, RIGHT, FULL)

  • Subqueries and Nested Queries

  • Window Functions and Ranking

  • Data Aggregation Techniques

  • Data Manipulation (INSERT, UPDATE, DELETE)

  • Hands-on SQL Practice with Real Data

  • Introduction to Python Programming

  • Data Structures: Lists, Tuples, Dictionaries

  • Data Manipulation with Pandas

  • Data Visualization with Matplotlib & Seaborn

  • Exploratory Data Analysis (EDA)

  • Introduction to NumPy for Data Calculations

  • Data Cleaning with Python

  • Project: Analyzing Business Data using Python

  • Basics of Machine Learning

  • Supervised vs Unsupervised Learning

  • Regression Techniques

  • Classification Algorithms

  • Clustering Fundamentals

  • Model Evaluation Metrics (Accuracy, F1 Score)

  • Overfitting and Underfitting Concepts

  • Practical Mini-Projects using ML

  • Power BI Interface and Navigation

  • Connecting Data Sources in Power BI

  • Data Transformation with Power Query

  • Building Interactive Reports

  • DAX Basics for Calculations

  • Sharing and Publishing Reports

  • Custom Visuals and Marketplace

  • Live Business Dashboard Project

  • Industry-Specific Data Analytics Project

  • Applying End-to-End Data Analytics Lifecycle

  • Resume Building for Data Analyst Roles

  • Crafting an Impressive Data Portfolio

  • Mock Interviews and Q&A Sessions

  • LinkedIn Optimization for Data Analytics

  • Interview Preparation and Case Studies

  • Final Project Presentation and Feedback

Free Career Counseling

We are happy to help you 24/7

+91 9036058587
+91 98455 25377
Download Curriculum

  • What is Data Analytics?

  • Importance of Data-Driven Decision Making

  • Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive

  • Key Roles in Data Analytics

  • Data Analytics Lifecycle

  • Real-World Applications of Data Analytics

  • Career Scope and Opportunities

  • Essential Tools and Technologies Overview

  • Structured vs Unstructured Data

  • Quantitative vs Qualitative Data

  • Data Sources in Modern Businesses

  • Primary and Secondary Data Collection Methods

  • Importance of Data Cleaning

  • Data Privacy and Security Fundamentals

  • Identifying Biases in Data

  • Best Practices in Data Collection and Storage

  • Structured vs Unstructured Data

  • Quantitative vs Qualitative Data

  • Data Sources in Modern Businesses

  • Primary and Secondary Data Collection Methods

  • Importance of Data Cleaning

  • Data Privacy and Security Fundamentals

  • Identifying Biases in Data

  • Best Practices in Data Collection and Storage

  • Handling Missing Data Techniques
  • Removing Duplicates and Errors
  • Data Transformation and Normalization
  • Data Encoding Methods (Label Encoding, One-Hot Encoding)
  • Outlier Detection and Treatment
  • Data Scaling Techniques (MinMax, StandardScaler)
  • Data Integration from Multiple Sources
  • Preparing Data for Analysis and Modeling
  • Importance of Data Visualization
  • Introduction to Visualization Tools (Tableau, Power BI, Python)
  • Choosing the Right Chart Types
  • Designing Effective Dashboards
  • Best Practices for Storytelling with Data
  • Interactive vs Static Visualizations
  • Avoiding Misleading Visuals
  • Hands-on Data Visualization Projects
  • Descriptive Statistics Overview
  • Mean, Median, Mode, Variance, Standard Deviation
  • Probability Basics
  • Inferential Statistics Introduction
  • Hypothesis Testing Concepts
  • Correlation vs Causation
  • Linear and Logistic Regression Basics
  • Using Statistics in Business Analytics

  • Advanced Excel Functions (VLOOKUP, INDEX, MATCH)

  • Pivot Tables and Pivot Charts

  • Data Cleaning in Excel

  • Conditional Formatting Techniques

  • Dashboard Creation in Excel

  • Excel Macros and Automation

  • Data Analysis ToolPak Usage

  • Real-Life Data Projects with Excel

  • SQL Basics: SELECT, WHERE, GROUP BY

  • Data Filtering and Sorting

  • JOINs (INNER, LEFT, RIGHT, FULL)

  • Subqueries and Nested Queries

  • Window Functions and Ranking

  • Data Aggregation Techniques

  • Data Manipulation (INSERT, UPDATE, DELETE)

  • Hands-on SQL Practice with Real Data

  • Introduction to Python Programming

  • Data Structures: Lists, Tuples, Dictionaries

  • Data Manipulation with Pandas

  • Data Visualization with Matplotlib & Seaborn

  • Exploratory Data Analysis (EDA)

  • Introduction to NumPy for Data Calculations

  • Data Cleaning with Python

  • Project: Analyzing Business Data using Python

  • Basics of Machine Learning

  • Supervised vs Unsupervised Learning

  • Regression Techniques

  • Classification Algorithms

  • Clustering Fundamentals

  • Model Evaluation Metrics (Accuracy, F1 Score)

  • Overfitting and Underfitting Concepts

  • Practical Mini-Projects using ML

  • Power BI Interface and Navigation

  • Connecting Data Sources in Power BI

  • Data Transformation with Power Query

  • Building Interactive Reports

  • DAX Basics for Calculations

  • Sharing and Publishing Reports

  • Custom Visuals and Marketplace

  • Live Business Dashboard Project

  • Industry-Specific Data Analytics Project

  • Applying End-to-End Data Analytics Lifecycle

  • Resume Building for Data Analyst Roles

  • Crafting an Impressive Data Portfolio

  • Mock Interviews and Q&A Sessions

  • LinkedIn Optimization for Data Analytics

  • Interview Preparation and Case Studies

  • Final Project Presentation and Feedback

Download Curriculum

Free Career Counseling

We are happy to help you 24/7

+91 9036058587
+91 98455 25377

Master In-Demand Skills with Practical, Industry-Based Learning

Talk to our career expert

Master In-Demand Skills with Practical, Industry-Based Learning

Talk to our career expert

Data Analytics Certification - Career path

Data Analyst Certification at Techpragna paves the way for your career for the following roles.

Data Analyst:

A data analyst converts raw data into usable information and generates reports based on it.

 Business Analyst:
Consequently, a business analyst’s responsibility is to perform business analysis and processing, thereby maintaining the balance between goals and the insights that a company gets.

BI Analyst:

A Business Intelligence Analyst’s work is to study and analyze an organization’s performance using data and improve its processes.

Market Research Analyst:
Consequently, a market research analyst stays up to date on consumer preferences and reports changes in market trends.

Financial Data Analyst:

Unlike a market research analyst, a financial data analyst analyzes economic reports on a quarterly, semiannual, and annual basis, using these insights to understand the company’s performance better.

Data Visualization Specialist:

Uses tools or visual stories such as Power BI, Tableau, or Python visualization libraries to transform raw data into usable data systematically.

Skills Covered

SQL & Database Management

Python for Data Analysis

R Programming

Data Visualization (Tableau, Power BI)

Statistical Analysis

Machine Learning Fundamentals

Data Cleaning & Preprocessing

Exploratory Data Analysis (EDA)

Big Data Technologies (Spark, Hadoop)

Excel Advanced Skills

12+ Data Analytics Tools Covered

Data Analyst

Collects, processes, and interprets data to help organizations make informed business decisions through reports and dashboards

 Business Analyst

Bridges the gap between business goals and data insights by analyzing business processes and recommending data-driven improvements.

Data Scientist

Uses advanced statistical methods, machine learning, and predictive modeling to forecast trends and solve complex business problems.

Data Engineer

Designs and manages data pipelines, ensuring data is collected, cleaned, and made accessible for analysis and reporting.

Data Visualization Specialist

Focuses on transforming raw data into compelling visual stories using tools like Power BI, Tableau, or Python visualization libraries.

Analytics Consultant

Provides expert advice to organizations on how to use data analytics to improve performance, optimize strategies, and achieve business objectives

Skills Covered

Data Cleaning

Statistical Analysis

Advanced Excel

SQL Querying

Data Visualization

Python Programming

Exploratory Analysis

Machine Learning 

Data Storytelling

Business Intelligence

12+ Data Science Tools Covered

Career Services

Techpragna is the reputed data analytics institute in Bangalore, along with a range of complementary services.

Student-centric training.

Career Guidance

Live Projects

Preparing for interviews through role play.

Long-term career-oriented sessions

Resume building

Placement Assistance

Personalized Guidance

Mock Interview Preparation

One-on-One Mentoring session

Career Oriented Seesions

Resume & LinkedIn Profile Building

How our program works

Enhance Your Skills to Transform Your Career Path

  • Each dataset is unique – master the art of converting them into usable ones.
  • Transform raw numbers into business strategies that make a campaign successful.
  • Think from the analyst's perspective. Solve problems like a Strategist.
  • Create a dashboard to gain hands-on experience with projects that answer the questions before they are asked.
  • Make your skills speak for you to employers in today’s data-driven industry.
  • Build industry-ready expertise that employers actively seek.

Data Analytics Live Projects

Techpragna offers industry-based projects for the data analytics course in Bangalore.

Data Analytics Projects Covered

Sales Performance Analysis
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DA5
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Group 117
Group 118

Land Your Dream Job Our Alumni

Land Your Dream Job Our Alumni

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Data Analytics Training FAQs

No prior coding is necessary; most courses start from basics and gradually introduce tools like SQL or Python.

Yes, the course is designed for beginners from any educational or professional background.

Yes, the course is designed for beginners from any educational or professional background.

Entry-level salaries range from ₹4–7 LPA in India, depending on location and company.

Yes, many programs offer placement support, interview preparation, and resume building services

Tech Pragna are offered in both online and offline

Industries like finance, healthcare, e-commerce, marketing, and IT actively hire data analysts.

Data Analytics Training FAQs

No prior coding is necessary; most courses start from basics and gradually introduce tools like SQL or Python.

Yes, the course is designed for beginners from any educational or professional background.

Yes, the course is designed for beginners from any educational or professional background.

Entry-level salaries range from ₹4–7 LPA in India, depending on location and company.

Yes, many programs offer placement support, interview preparation, and resume building services

Tech Pragna are offered in both online and offline

Industries like finance, healthcare, e-commerce, marketing, and IT actively hire data analysts.

What Our Learners Have To Say

What Our Learners Have To Say

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Group 54
Group 53
Group 52
Group 51
Group 54
Group 53
Group 52

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Techpragna Locations

Techpragna Branches

BTM Layout Techpragna
#783, 1st Floor, 16th Main Rd, BTM 2nd Stage, Bengaluru, Karnataka 560076
080 41676049 / +91 9845525377
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Jayanagar Techpragna
3rd Floor, Diamond Arcade, 32nd E Cross Rd, Jayanagar, Bengaluru 560041
080 41676141 / +91 99845525377
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Shivaji Nagar Techpragna
No. 20, 1st Floor, Lady Curzon Rd, Shivaji Nagar, Bengaluru 560001
080 41557559 / +91 9845525377
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