- Hyderabad's #1 Java Training Institute
Data Analytics
Master Data Analytics, Excel, SQL, Power BI & more with hands-on projects and placement assistance. Build real-world dashboards from day one.
- Duration: 3 Months
- Rating: 4.9 / 5
- SCAN NOW for More Details
Course Curriculum
A structured 3-month program covering everything from fundamentals to advanced enterprise development.
Module 1: Data Analytics Fundamentals
- Introduction to Data Analytics
- Types of Data Analytics
- Data Analytics Process
- Applications & Use Cases
- Basics of Statistics
Module 2: Excel for Data Analysis
- Excel Basics
- Data Cleaning & Formatting
- Formulas & Functions
- Pivot Tables & Charts
- Data Visualization in Excel
Module 3: SQL for Data Analytics
- Introduction to Databases
- SQL Queries (SELECT, WHERE, JOIN)
- Aggregations & Grouping
- Subqueries
- Data Manipulation
Module 4: Python for Data Analytics
- Python Basics
- NumPy & Pandas
- Data Cleaning & Transformation
- Data Visualization (Matplotlib, Seaborn)
Module 5: Power BI & Projects
- Power BI Basics
- Data Modeling
- Dashboards & Reports
- Real-time Projects
- Case Studies
Everything You Need to Launch Your Career
Our Data Analytics program is designed to give you practical skills that top companies demand.
Industry-Oriented Curriculum
Crafted with inputs from senior developers at top IT companies, updated quarterly to match market demands.
Hands-on Projects
Build 5+ real-world projects—including e-commerce, REST APIs, and microservices—to showcase to employers.
Dashboard & Reporting Skills
Learn to create interactive dashboards and business reports using Power BI & Tableau.
Placement Support
Placement assistance with resume building, mock interviews, and career support.
Experienced Trainers
Learn from engineers with 8–15 years of enterprise Java experience at companies like TCS, Infosys, and Wipro.
Recognised Certificate
Earn an industry-recognized APEC Training certificate valued by top companies in Hyderabad.
Technologies You'll Master
A complete Data Analytics toolkit covering Excel, SQL, Power BI, Python, and data visualization essentials.
MySQL
Tableau
Power BI
Python
Excel
Choose Your Learning Mode
Flexible training options to fit your schedule and learning style.
Classroom Training
Learn in a professional training environment with real-time interaction, peer learning, and lab access.
- In-person expert guidance
- Hands-on learning
- Peer interaction
- Focused environment
Online Training
Live instructor-led sessions via Zoom/Google Meet full classroom experience from anywhere in India.
- Learn from anywhere
- Live interactive classes
- Flexible schedule
- Recorded sessions
Weekend Batch
Weekend intensive sessions designed for working professionals and students with busy weekdays.
- Weekend-only classes
- Ideal for professionals
- Fast-track learning
- Flexible pace
Frequently Asked Questions
Got questions? We’ve got answers. If you don’t find what you need, talk to our counsellors.
A data analytics course teaches how to collect, clean, analyze, and interpret data to support business decisions. It focuses on tools, techniques, and real-world data analysis use cases used by companies today.
A data analytics course is suitable for students, freshers, working professionals, and career switchers who want to build a career in data-driven roles. No advanced technical background is required.
Yes, data analytics is a strong career option with high demand across industries such as IT, finance, healthcare, marketing, and e-commerce. Companies rely on data analysts to make informed business decisions.
In a data analytics course, you will learn data analysis concepts, Excel, SQL, data visualization, reporting, and analytics tools, along with practical project experience.
Most data analytics courses can be completed in 2 to 4 months, depending on the syllabus, training mode, and level of practical exposure.
Yes, a data analytics course is beginner-friendly. Training usually starts from basic concepts and gradually moves to advanced analysis and visualization techniques.
Yes, a good data analytics course includes real-time projects that help learners apply concepts to real business scenarios and gain hands-on experience.
After completing a data analytics course, you can apply for roles such as Data Analyst, Business Analyst, Reporting Analyst, MIS Analyst, and Junior Analytics Consultant.
Many data analytics training programs include placement support such as resume preparation, interview guidance, mock interviews, and job assistance to help learners start their careers.
APEC Training offers practical data analytics training with experienced trainers, hands-on projects, industry-relevant curriculum, and placement assistance to help students become job-ready.
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Data Analytics
APEC Provides Best Data Analytics Course in Various Fields of education, including both IT and non-IT students and Professionals.
Basic Excel
Worksheets, Workbooks, Cells, Columns, Rows
Entering & Editing Data, Copying & Moving Data
Formatting: Text, Number, Conditional Formatting
Sorting & Filtering Data, Creating Tables
Using Formulas & Functions (Math, Text, Date, Logical)
Working with Charts & Graphs
Data Validation & Macros
Advanced Excel
VLOOKUP, HLOOKUP, INDEX-MATCH
Pivot Tables & Pivot Charts
Data Consolidation & Analysis
Custom Sort, Filter, and Advanced Functions
Financial, Sales, and Business Reporting
Database Basics
Introduction to DBMS & RDBMS
Data Models & Normalization
SQL Server Management & Authentication
SQL Commands & Queries
DDL, DML, DQL, DCL, TCL Commands
Creating & Managing Databases & Tables
Primary Key, Foreign Key, Constraints
SELECT Queries, Filtering, and Sorting
SQL Joins (Inner, Outer, Cross, Self)
Subqueries, Views & Indexing
Transactions & Performance Optimization
Power BI Fundamentals
Introduction to Power BI & Its Architecture
Installing Power BI Desktop & Loading Data
Understanding Data Modeling & Relationships
Using Power Query Editor for Data Cleaning
Data Visualization & Dashboarding
Creating Reports & Custom Dashboards
Working with DAX Functions for Data Analysis
Formatting & Customizing Visuals
Publishing Reports to Power BI Service
Row-Level Security & Access Control
Advanced Power BI
Using Bookmarks & Selection Pane
Setting up Gateways & Scheduled Data Refresh
Real-World Business Intelligence Case Study
Core Python
Python Basics: Syntax, Variables, Data Types
Conditional Statements, Loops & Functions
String Handling & File Operations
Exception Handling & Regular Expressions
Advanced Python
Object-Oriented Programming (OOP)
Multi-threading & Error Handling
Database Access using Python
Python for Data Science
Pandas & NumPy for Data Analysis
Data Cleaning & Preprocessing
Data Visualization using Matplotlib & Seaborn
Advanced Statistical & Mathematical Operations
Real-World Data Analytics Project
Complete End-to-End Data Analytics Project
Implementing Data Cleaning, Processing & Visualization
Generating Business Insights & Reports
Syllabus
Microsoft Excel for Data Analytics
Basic Excel
Worksheets, Workbooks, Cells, Columns, Rows
Entering & Editing Data, Copying & Moving Data
Formatting: Text, Number, Conditional Formatting
Sorting & Filtering Data, Creating Tables
Using Formulas & Functions (Math, Text, Date, Logical)
Working with Charts & Graphs
Data Validation & Macros
Advanced Excel
VLOOKUP, HLOOKUP, INDEX-MATCH
Pivot Tables & Pivot Charts
Data Consolidation & Analysis
Custom Sort, Filter, and Advanced Functions
Financial, Sales, and Business Reporting
SQL Server & Database Management
Database Basics
Introduction to DBMS & RDBMS
Data Models & Normalization
SQL Server Management & Authentication
SQL Commands & Queries
DDL, DML, DQL, DCL, TCL Commands
Creating & Managing Databases & Tables
Primary Key, Foreign Key, Constraints
SELECT Queries, Filtering, and Sorting
SQL Joins (Inner, Outer, Cross, Self)
Subqueries, Views & Indexing
Transactions & Performance Optimization
Power BI for Business Intelligence
Power BI Fundamentals
Introduction to Power BI & Its Architecture
Installing Power BI Desktop & Loading Data
Understanding Data Modeling & Relationships
Using Power Query Editor for Data Cleaning
Data Visualization & Dashboarding
Creating Reports & Custom Dashboards
Working with DAX Functions for Data Analysis
Formatting & Customizing Visuals
Publishing Reports to Power BI Service
Row-Level Security & Access Control
Advanced Power BI
Using Bookmarks & Selection Pane
Setting up Gateways & Scheduled Data Refresh
Real-World Business Intelligence Case Study
Python for Data Analytics
Core Python
Python Basics: Syntax, Variables, Data Types
Conditional Statements, Loops & Functions
String Handling & File Operations
Exception Handling & Regular Expressions
Advanced Python
Object-Oriented Programming (OOP)
Multi-threading & Error Handling
Database Access using Python
Python for Data Science
Pandas & NumPy for Data Analysis
Data Cleaning & Preprocessing
Data Visualization using Matplotlib & Seaborn
Advanced Statistical & Mathematical Operations
Real-World Data Analytics Project
Complete End-to-End Data Analytics Project
Implementing Data Cleaning, Processing & Visualization
Generating Business Insights & Reports
FAQ's
A data analytics course teaches how to collect, clean, analyze, and interpret data to support business decisions. It focuses on tools, techniques, and real-world data analysis use cases used by companies today.
A data analytics course is suitable for students, freshers, working professionals, and career switchers who want to build a career in data-driven roles. No advanced technical background is required.
Yes, data analytics is a strong career option with high demand across industries such as IT, finance, healthcare, marketing, and e-commerce. Companies rely on data analysts to make informed business decisions.
In a data analytics course, you will learn data analysis concepts, Excel, SQL, data visualization, reporting, and analytics tools, along with practical project experience.
Most data analytics courses can be completed in 2 to 4 months, depending on the syllabus, training mode, and level of practical exposure.
Yes, a data analytics course is beginner-friendly. Training usually starts from basic concepts and gradually moves to advanced analysis and visualization techniques.
Yes, a good data analytics course includes real-time projects that help learners apply concepts to real business scenarios and gain hands-on experience.
After completing a data analytics course, you can apply for roles such as Data Analyst, Business Analyst, Reporting Analyst, MIS Analyst, and Junior Analytics Consultant.
Many data analytics training programs include placement support such as resume preparation, interview guidance, mock interviews, and job assistance to help learners start their careers.
APEC Training offers practical data analytics training with experienced trainers, hands-on projects, industry-relevant curriculum, and placement assistance to help students become job-ready.
Grow Your Career
There’s no shortage of possible career options in IT, and there’s no shortage of opportunities for promotion within specific IT niches. Full Stack Development, Data Science, ML & AI, Digital Marketing, Cloud Computing, Networking and Graphic Design all offer IT career growth and may be just right for you.