Data Analytics – Techpragna

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

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

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Data Analytics Course Curriculum

Introduction to Data Analytics

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

Understanding Data and Data Types

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

Data Collection Techniques

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

Data Cleaning and Preparation

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

Data Visualization Essentials

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

Statistical Fundamentals for Data Analytics

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

Excel for Data 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 for Data Analytics

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

Python for Data Analytics

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

Introduction to Machine Learning

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 for Business Analytics

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

Capstone Project and Career Preparation

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

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

What Role Does a Data Analytics Professional Play?

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

How our program works

Enhance Your Skills to Transform Your Career Path

Gain official proof of your expertise from a trusted institution, increasing your value in the eyes of employers and clients.
Stand out in competitive job markets and unlock better job roles, promotions, or freelance opportunities.
Certifications ensure your skills are aligned with current industry standards, making you job-ready from day one.
Completing a certified course strengthens your belief in your capabilities and readiness to tackle real-world challenges.
Join a professional community, gain access to hiring managers, and receive support from placement partners and mentors.