Data Analytics Course in Hyderabad

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Data Analytics Course in Hyderabad

Next Batch Details

Batch InformationDetails
Trainer NameMr. Rahul Sharma
Trainer Experience12+ Years in Data Analytics & Power BI
Next Batch Date 23 March 2026
Training ModesOnline & Offline Training (Instructor-Led)
Course Duration6–8 Weeks (Weekend & Weekday Batches Available)
Call Us At

+91 86868 36999

Email Us At

info@excelytics.com

Demo Class DetailsENROLL FOR FREE DEMO CLASS

Why Excelytics is the Best Data Analytics Training Institute in Hyderabad

Industry-Oriented Data Analytics Curriculum

Learn the complete Data Analytics workflow including Data Cleaning, Data Analysis, Data Visualization, and Business Reporting using tools used in real companies.

Master Popular Data Analytics Tools

Get hands-on training on Advanced Excel, SQL, Power BI, Tableau, and Python, which are essential tools for modern data analysts.

Real-Time Data Analytics Projects

Work on industry-based datasets and real business case studies to gain practical experience in solving real analytics problems.

Dashboard & Data Visualisation Training

Learn how to create interactive dashboards and data reports using Power BI and Tableau to present insights effectively.

Data Analysis with SQL & Excel

Develop strong skills in data querying, data manipulation, and analysis using SQL and advanced Excel techniques.

Business Decision-Making with Data

Understand how organizations use data analytics to improve marketing strategies, sales performance, and operational efficiency.

Portfolio-Based Learning

Build a professional data analytics project portfolio that helps showcase your skills during job interviews.

Career-Focused Data Analytics Training

The course prepares you for roles such as Data Analyst, Business Analyst, Reporting Analyst, and BI Analyst with practical skill development.

Why Choose Excelytics Academy for Data Analytics Training Institute in Hyderabad?

Data Analytics Classes in Hyderabad

Data Analytics Course Curriculum

Introduction to Data Analytics
  • What is Tableau & Data Visualization
  • Tableau Products (Tableau Desktop, Tableau Public)
  • Understanding Data Visualisation Concepts
  • Connecting Tableau to Data Sources
  • Excel Interface & Data Types

  • Data Cleaning & Data Preparation

  • Sorting, Filtering & Conditional Formatting

  • Excel Formulas & Functions

  • Logical Functions (IF, AND, OR)

  • Lookup Functions (VLOOKUP, HLOOKUP, INDEX, MATCH)

  • Text Functions (LEFT, RIGHT, MID, LEN)

  • Date & Time Functions

  • Data Validation & Removing Duplicates

  • Working with Excel Tables

  • Pivot Tables & Pivot Charts

  • Data Summarization Techniques

  • Data Visualization in Excel

  • Interactive Dashboard Creation

  • Introduction to Databases

  • SQL Basics (SELECT, WHERE, ORDER BY)

  • Filtering and Sorting Data

  • Aggregate Functions (SUM, AVG, COUNT, MIN, MAX)

  • Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN)

  • Subqueries & Nested Queries

  • Data Grouping using GROUP BY & HAVING

  • Introduction to Power BI

  • Data Import and Data Transformation

  • Data Modeling Concepts

  • DAX Basics

  • Creating Reports & Dashboards

  • Data Visualization Techniques

  • Introduction to Tableau

  • Connecting Data Sources

  • Data Visualization Techniques

  • Creating Interactive Dashboards

  • Storytelling with Data

  • Introduction to Python

  • Python Basics for Data Analysis

  • Working with Pandas and NumPy

  • Data Cleaning using Python

  • Data Visualization using Matplotlib & Seaborn

  • Handling Missing Data

  • Removing Duplicates

  • Data Transformation Techniques

  • Data Quality Checks

  • Sales Performance Analysis

  • Customer Segmentation Analysis

  • Marketing Campaign Analysis

  • Business Dashboard Creation

  • End-to-End Data Analytics Project

  • Data Collection & Data Cleaning

  • Data Analysis & Visualization

  • Dashboard Presentation

  • Resume Building for Data Analysts

  • LinkedIn Profile Optimization

  • Interview Preparation & Mock Interviews

  • Real Industry Case Studies

What is Data Analytics?

Data Analytics is the process of examining, transforming, and interpreting raw data to discover meaningful patterns, trends, and insights that support better business decisions. In today’s digital world, organizations generate huge amounts of data from websites, mobile apps, transactions, customer interactions, and operational systems. Data analytics helps businesses convert this raw information into valuable knowledge that can improve efficiency, profitability, and strategic planning.

In simple terms, Data Analytics turns data into actionable insights that organizations can use to solve problems, predict outcomes, and optimize performance.

Where is Data Analytics Used?

Data Analytics is used in almost every industry to analyze data, understand patterns, and improve business decision-making. Organizations use data analytics to gain insights from large amounts of data and optimize their operations, marketing strategies, and customer experiences.

IndustryHow Data Analytics is Used
Marketing & Digital MarketingAnalyzing campaign performance, customer behavior, website traffic, and conversion rates.
Banking & FinanceFraud detection, risk analysis, financial forecasting, and transaction monitoring.
HealthcarePatient data analysis, disease prediction, hospital management, and treatment improvement.
Retail & E-CommerceCustomer behavior analysis, product recommendations, sales forecasting, and inventory management.
ManufacturingProduction monitoring, quality control, predictive maintenance, and supply chain optimization.
EducationStudent performance tracking, improving learning outcomes, and academic data analysis.
Logistics & Supply ChainDelivery route optimization, inventory control, demand forecasting, and shipment tracking.
TelecommunicationsNetwork performance analysis, customer usage insights, and churn prediction.
Entertainment & MediaContent recommendation systems, audience behavior analysis, and streaming analytics.
Government & Public SectorPublic policy analysis, traffic management, and smart city planning.

Benefits of the Data Analytics Course in Hyderabad

Benefits of the Course

High Demand Career Opportunities

Data analytics professionals are in high demand across industries such as IT, finance, healthcare, retail, and digital marketing.

Learn In-Demand Analytics Tools

Gain hands-on experience with industry tools like Excel, SQL, Power BI, Tableau, and Python used by data analysts.

Real-Time Project Experience

Work on practical datasets and real-world projects to understand how businesses analyze and use data.

Strong Data Visualization Skills

Learn how to create interactive dashboards and reports that help businesses understand data insights clearly.

Improved Analytical & Problem-Solving Skills

Develop the ability to analyze complex data and make data-driven decisions for business growth.

Better Career Growth Opportunities

Data analytics skills open doors to roles such as Data Analyst, Business Analyst, and BI Analyst with strong career growth.

Skills You’ll Gain from Data Analytics Training

Skills Developed After the Course

What Tools Covered in the Data Analytics Course in Hyderabad

Data Analytics Training in Hyderabad with Placement Program

Data Analytics Course in Hyderabad - Placement Program

Prerequisites & Eligibility for Data Analytics Training Course in Hyderabad

Understanding of computers and basic software usage is sufficient to get started.

Beginners can join; programming knowledge is optional and will be taught during the course.

Simple concepts like percentages, averages, and logical thinking are helpful.

Curiosity to work with data and solve problems is important.

Students from B.Tech, B.Sc, B.Com, BBA, MBA, or any background can enroll.

Suitable for both freshers and professionals looking to switch careers or upgrade skills.

Data Analyst Salary in Hyderabad – Freshers to Experienced

Data Analyst salaries in Hyderabad start from ₹3–5 LPA for freshers and can go up to ₹15+ LPA for experienced professionals, depending on skills, experience, and tools like SQL, Power BI, and Python.

Experience LevelJob RoleAverage Salary (Per Year)
0 – 1 Year (Fresher)Junior Data Analyst₹3,00,000 – ₹5,00,000
1 – 3 YearsData Analyst₹4,00,000 – ₹8,00,000
3 – 5 YearsSenior Data Analyst₹6,00,000 – ₹12,00,000
5 – 8 YearsLead Data Analyst₹10,00,000 – ₹18,00,000
8+ YearsAnalytics Manager / Data Manager₹15,00,000 – ₹25,00,000+

Hiring Companies for Data Analytics Professionals in Hyderabad

Data Analytics Certification Training Institutes in Hyderabad

FAQ's

Who can join the Data Analytics course?

Anyone can join, including students, graduates, freshers, and working professionals from any background.

No, coding is not mandatory. You can start as a beginner, and tools like Excel and Power BI are easy to learn.

You will learn Excel, SQL, Power BI, Tableau, and Python, which are widely used in the industry.

The course duration is usually 2 to 4 months, depending on the training mode.

Yes, you will receive placement support, resume building, and interview preparation.

You can apply for roles like Data Analyst, Business Analyst, BI Analyst, and Reporting Analyst.

Freshers can earn around ₹3–5 LPA, and experienced professionals can earn ₹10+ LPA.

Excelytics offers industry-focused training, real-time projects, expert trainers, and strong placement support, making it a top choice for learning Data Analytics.

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