Data Analytics Course in Hyderabad
with 100% Placement Assistance
Data Analytics Masters offers a highly practical and job-oriented Data Analytics Course in Hyderabad, designed for students, freshers, and working professionals who want to build a successful career in analytics. Our training helps you develop strong skills in data analysis, data visualisation, SQL, Excel, Python, and leading BI tools like Power BI and Tableau. You will also learn how to work with real-time data using industry-standard tools and techniques.
- Real-Time Capstone Projects
- 9+ Years Experienced Trainers
- Beginner-Friendly Curriculum
- Certification On Completion
4.9 Google Rating
9,000+ Students Trained
Job Support Available
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Data Analytics Masters Training Program Overview
Our Data Analytics Course in Hyderabad is designed for freshers, beginners, and working professionals who want to build a strong career in the data field. At Data Analytics Masters, we teach core concepts of data analytics, including data analysis, data visualisation, and real-world business problem solving.
You will learn how to work with industry-standard data analytics tools like Excel, SQL, Python, Power BI, and Tableau. The course also covers data cleaning, data transformation, and dashboard creation using top data analysis tools.
We focus on practical learning with real-time datasets, helping you understand how companies use data to make decisions. You will also follow a structured data analytics roadmap, learn data analyst roles and responsibilities, and gain hands-on experience through live projects.
What We Provide
- Offline Classroom Training
- Online Live Interactive Training
- Corporate Data Analytics Training Programs
- Industry-Recognised Data Analytics Certification
- Real-Time Projects with Practical Sessions
Data Analytics Course - Upcoming Batch Details
| Trainer Name | Ms. Shaheda Tabassum (Certified Trainer) |
| Trainer Experience | 9+ Years Real-Time Experience |
| Next Batch Date | 6th April 2026 |
| Session Time | 10:00 AM to 11:30 AM |
| Course Duration | 3 Months |
| Course Fee | Online: ₹35,000 | Offline: ₹40,000 |
| Training Modes | Online |
| Call Us At | +91 9948801222 |
| Email Us At | dataanalyticsmasters.in@gmail.com |
| Demo Class Details | Enroll for Free Demo |
Data Analytics Course Curriculum for 2026
What is Data Analytics?
Types of Analytics – Descriptive, Diagnostic, Predictive & Prescriptive
Applications in Real Business Scenarios
Overview of Analytics Tools
Understanding Data Types and Structures
Data Collection Techniques
Handling Missing Data
Data Cleaning and Normalization
- Python programming
- Introduction to python
- Python basics
- Data structures in python
- Conditional statements
- Loopings
- Functions and lambda
- File handling
- Exception handling
- Object-oriented programming language(oops)Basics
- Introduction to python libraries
- Descriptive statistics (mean, median, mode)
- inferential statistics (hypothesis testing, confidence intervals)
- Probability distributions (Bernoulli, Binomial, Normal)
- Bayes’ theorem
- Handling missing data
- Data normalization and scaling
- Data transformation (log, sqrt)
- Data quality and validation
- Data structures (pandas, NumPy)
- Data manipulation (merge, join, groupby)
- Data aggregation (sum, mean, count)
- Introduction to data visualization
- Visualization tools (Matplotlib, Seaborn, Plotly)
- Summary statistics (mean, median, mode)
- Visualizations (histograms, box plots)
- Correlation analysis
- Hypothesis testing (t-test, ANOVA)
- Confidence intervals
- Regression analysis
- Introduction to SQL
- SQL Syntax and Data Types
- SQL Commands (SELECT, INSERT, UPDATE, DELETE)
- Querying Data (WHERE, AND, OR, NOT)
- Sorting and Limiting Data (ORDER BY, LIMIT)
- Entity-Relationship Modeling (ERM)
- Database Design Principles
- Types of databases
- Simple Queries (SELECT, FROM, WHERE)
- Aggregate Functions (SUM, AVG, MAX, MIN, COUNT)
- Grouping and Filtering (GROUP BY, HAVING)
- Joining Tables (INNER JOIN, LEFT JOIN, RIGHT JOIN)
- Subqueries (Nested Queries)
- Window Functions (ROW_NUMBER, RANK, etc.)
- Views and Stored Procedures
- Triggers and Functions
- Introduction to power bi
- Getting started with power bi
- Power bi desktop
- Data transformation with power query
- Data modeling in power bi
- Dax functions(Data analysis Expressions)
- Data preparation(Handling missing values,Data validation,Data transformation)
- Data visualization(charts, conditional formatting, dash board, geographic visualization)
- Data analysis (descriptive statistics, main mode media, standard deviation, variants)
- Inferential statistics( hypothesis testing, confidence intervals.)
- Excel functions (sum, average, count,v-lookup, h-lookup, conditional formatting, time and data formats.)
- Pivot tables (calculated fuels, aggregating data, grouping and filtering data)
Choose from E-commerce, Healthcare, or Finance domains
End-to-End Data Analysis Workflow
Final Presentation and Evaluation
Key Highlights of Our Data Analytics Coaching in Hyderabad
- Expert Trainer with 7+ Years of Analytics Experience
- Life time access for live recording videos
- More focus on practical implementation
- 1 on 1 Mentorship & Career Support
- Flexible Learning Modes – Classroom + Online
- Capstone Project + Certification
- Cover Tools like Python, R , Excel ,Power BI ,Tablue ,SQL
- 3 months advanced training programme
- Interview questions + interview guidance
- Curriculum Designed by Our Industry Experts
- Real-Time Projects & Case Studies
- Affordable Fees with EMI Options
What is Data Analytics?
- Data Analytics is the process of collecting, cleaning, and analysing data to find useful insights
- It helps businesses understand what is happening and make better decisions based on data
- It works with different types of data, like numbers, customer data, sales data, and more
- Data analysts use tools like Excel, SQL, Python, Power BI, and Tableau
- It includes tasks like data cleaning, data visualisation, and report creation
- It helps companies improve performance, reduce risks, and increase profits
- It is widely used in industries like IT, healthcare, finance, retail, and marketing
- It focuses on turning raw data into meaningful information that anyone can understand
- One of the Most In-Demand Skills in Today’s Competitive Job Market
- It gives beginners a strong career opportunity with good salary growth
Why Data Analytics Is Important for Freshers in 2026
01 Data Analytics Is Driving Business Decisions
Today, companies use data analytics for:
- Understanding customer behaviour
- Improving business performance
- Sales and marketing analysis
- Financial decision-making
- Predicting future trends
Freshers who learn data analytics can easily understand real business problems and solutions.
02 Data Analytics Tools Are Core Skills
Data analytics tools are used in:
- Data reporting and dashboards
- Business intelligence systems
- Data visualisation and storytelling
- Database management
- Performance tracking
Learning tools like Excel, SQL, Python, Power BI, and Tableau give beginners strong practical skills.
03 Data Analytics Expands Career Opportunities
Modern companies need:
- Data Analysts
- Business Analysts
- MIS Analysts
- Reporting Analysts
- Junior Data Analysts
Freshers with data analytics skills can apply for multiple roles across industries.o
04 High Demand for Data Analytics Jobs
Companies in Hyderabad and across India are hiring for:
- Data Analyst roles
- Business Intelligence roles
- Data-driven decision roles
- Entry-level analytics jobs
Having practical knowledge in data analytics helps freshers get job-ready faster and grow their careers.
Where is Data Analytics Used? Real Industry Use Cases
| Industry | How Data Analytics is Used | Practical Example |
| IT & Software | Data analysis, performance tracking, and user behaviour analysis | A company analyses user data to improve app performance |
| Marketing & Digital Media | Campaign analysis, customer insights, SEO data tracking | A marketing team uses data to improve ad performance and conversions |
| Banking & Finance | Risk analysis, fraud detection, and financial reporting | Banks use data analytics to detect unusual transactions |
| Healthcare | Patient data analysis, medical reporting, and prediction models | Hospitals analyse patient data to improve treatment plans |
| E-commerce & Retail | Sales analysis, customer behaviour, product recommendations | Online stores suggest products based on user activity |
| Education & EdTech | Student performance tracking, learning analysis | Platforms track student progress and improve the learning experience |
| HR & Recruitment | Resume analysis, hiring data insights, and employee performance | HR teams use data to select the best candidates |
| Startups & Business | Business growth analysis, decision making, forecasting | Startups use data to understand customer needs and scale faster |
Data Analytics Roadmap for Beginners (Step-by-Step Guide 2026)
Becoming a Data Analyst is a rewarding journey that involves developing various skills. Here’s a step-by-step roadmap to guide you from starting your learning to landing your first job as a Data Analyst:
1. Basics of Data Analytics
- Learn fundamental concepts, including data types and industry applications.
- Understand the role of a data analyst and how businesses use data.
- Get familiar with common data sources and collection methods.
2. Statistics & Probability
- Master key statistical concepts like distributions, mean, median, and standard deviation.
- Learn hypothesis testing, regression analysis, and probability theory.
- Apply statistical methods to analyse trends and make data-driven decisions.
3. Excel & SQL
- Use Excel for data cleaning, analysis, and visualisation.
- Learn SQL to query databases, retrieve data, and perform complex joins.
- Optimise database queries for efficient data handling.
4. Data Visualisation
- Create visual representations of data using Tableau, Power BI, and Python libraries.
- Understand how to communicate insights effectively through charts and dashboards.
- Learn storytelling with data to support decision-making.
5. Python & R
- Learn programming basics in Python and R for data analysis.
- Utilise Pandas, NumPy, and Matplotlib for efficiently handling, analysing, and visualising data.
- Automate repetitive tasks and perform statistical analysis efficiently.
6. Machine Learning Basics
- Understand predictive analytics and machine learning models.
- Learn key ML algorithms like linear regression, decision trees, and clustering.
- Explore real-world applications of machine learning in business analytics.
7. Data Cleaning & Preprocessing
- Handle missing, duplicate, or inconsistent data to ensure data quality.
- Use Python, SQL, and Excel techniques to clean datasets.
- Prepare raw data for effective analysis and machine learning models.
8. Projects & Resume
- Work on real-world data projects to gain hands-on experience.
- Build a strong portfolio showcasing problem-solving skills.
- Optimise your resume and LinkedIn profile for job opportunities in data analytics.
Syllabus for Data Analytics Course in Hyderabad
Our data analytics syllabus includes Excel, SQL, Python, Power BI, data visualization, statistics, and real-time projects with practical training to make you job-ready.
Data Analytics Course Fees in Hyderabad & Duration
Data Analytics Classroom Training
- Face-to-face learning with expert trainers
- Step-by-step teaching for beginners
- Fully equipped lab support
- Daily hands-on practice
- Real-time data analytics projects
- One-to-one doubt clarification
- Resume building support
- Mock interview practice
- Complete placement assistance
Data Analytics Online Training
- Live interactive online classes
- Beginner-friendly explanations
- Practical sessions in every class
- Real-time project development
- Recorded sessions for revision
- Regular doubt-clearing sessions
- Resume and LinkedIn support
- Mock interviews and job guidance
- Full placement support
Corporate Training
- Customised Training Programs
- Daily Recordings
- Interactive Team Development
- Expert Instruction
- Industry-Relevant Content
- Performance Monitoring
- On-Site Workshops
Data Analytics Weekend Training
- Saturday & Sunday classes
- Suitable for working professionals
- Simple and structured learning
- Real-time project practice
- Recorded sessions access
- Doubt clarification support
- Resume preparation guidance
- Interview training & placement support
Easy EMI Available for modes. (Classroom Training – Online Course )
Data Analytics Tools You Will Learn in This Course
| Tool | Tool Name | Description |
 | Microsoft Excel | Excel is a basic and powerful tool used for data cleaning, analysis, and creating simple reports and charts. |
 | SQL | SQL is used to store, manage, and retrieve data from databases, which is a core skill for every data analyst. |
 | Python | Python is used for data analysis, automation, and working with large datasets using libraries like Pandas and NumPy. |
 | Power BI | Power BI is used to create interactive dashboards and visualize data in an easy-to-understand format. |
 | Tableau | Tableau is a popular data visualization tool used to create charts, dashboards, and business reports. |
 | Google Analytics | Google Analytics helps track website data, user behavior, and marketing performance. |
 | MySQL | MySQL is a database system used to store and manage structured data for analysis. |
 | PostgreSQL | PostgreSQL is an advanced database used for handling complex data queries and large datasets. |
 | Jupyter Notebook | Jupyter Notebook is used to write and run Python code for data analysis in an interactive way. |
 | Hadoop | Hadoop is used to store and process large volumes of data in big data environments. |
 | Apache Spark | Spark is used for fast data processing and real-time data analytics. |
Our Data Analytics Expert Trainer
INSTRUCTOR
Trainer : Ms. Shaheda Tabassum
Experience: 9+ Years in Data Analytics, Business Intelligence, and Data Visualisation
Core Expertise: Excel, SQL, Python, Power BI, Tableau, Data Cleaning, Data Visualisation, and Business Analytics
Industry Projects: Worked on real-time projects like sales analysis dashboards, customer behaviour analysis, financial reporting, and business performance tracking
Teaching Style: Explains data analytics concepts in a very simple way, with step-by-step guidance, practical examples, and hands-on project training
Real Stories from Our Data Analytics Masters Learners
Best Data Analytics Courses in Hyderabad With Placements Support
Our placement program is designed to help you move step by step from learning to getting a job. We focus on practical skills, real-time projects, and proper guidance so you can attend interviews with confidence.
1. Resume Building
- Create a clear, ATS-friendly resume for data analyst roles
- Highlight your data analytics projects, tools, and skills
- Make your profile stand out to recruiters
2. Placement Training
- Learn how to apply for data analytics jobs in Hyderabad
- Understand job roles, requirements, and hiring process
- Get guidance on daily job applications
3. Interview Questions Preparation
- Practice common data analyst interview questions
- Focus on Excel, SQL, Python, and Power BI concepts
- Improve your answering structure and clarity
4. Internships Under Experts
- Get exposure to real-time work with guidance
- Add practical experience to your profile
- Understand how companies handle real data
5. Real-Time Data Analytics Projects
- Work on real datasets from business scenarios
- Build strong hands-on experience using data analytics tools
- Learn how to explain your project in interviews
6. Aptitude Preparation
- Improve logical thinking and problem-solving skills
- Prepare for company-level aptitude tests
- Practice regularly with simple methods
7. Personality Development
- Improve communication and presentation skills
- Learn how to speak clearly in interviews
- Build confidence step by step
8. Mock Interviews
- Attend mock interviews similar to real interviews
- Get feedback from trainers
- Correct mistakes and improve performance
9. Interview Scheduling
- Get support in connecting with hiring companies
- Receive interview calls based on your profile
- Proper guidance before attending interviews
10. Get Offer Letter
- Attend interviews with confidence
- Clear rounds with proper preparation
- Start your career as a Data Analyst
What are the career opportunities after completing a data analytics course?
Role | Description |
Data Analyst | Analyzes data and creates reports to help companies make better decisions |
Junior Data Analyst | Entry-level role focusing on data cleaning, basic analysis, and reporting |
Business Analyst | Uses data to understand business needs and improve processes |
Data Visualization Analyst | Creates dashboards and visual reports using Power BI and Tableau |
SQL Developer | Manages databases and writes queries to extract useful data |
Reporting Analyst | Prepares business reports and tracks performance metrics |
Marketing Data Analyst | Analyzes customer data and marketing campaigns for better results |
Product Analyst | Studies product data to improve user experience and product performance |
Operations Analyst | Uses data to improve business operations and efficiency |
Data Quality Analyst | Ensures data accuracy, consistency, and proper validation |
BI Analyst (Business Intelligence Analyst) | Works with BI tools to create dashboards and business insights |
Analytics Consultant | Helps companies use data analytics tools and strategies for growth |
What is the Data Analyst Salary in Hyderabad in 2026?
Data analytics is growing rapidly in Hyderabad across IT companies, startups, and product-based organizations. With increasing demand, professionals skilled in Excel, SQL, Python, Power BI, and Tableau can expect strong career growth and competitive salary packages.
Job Role | Experience Level | Skills Required | Expected Salary (2026) | Who Hires in Hyderabad |
Data Analyst | 0–2 years | Excel, SQL, Power BI, Data Cleaning | ₹3 – 6 LPA | TCS, Infosys, Wipro, Cognizant |
Junior Data Analyst | 0–1 year | Excel, Basic SQL, Reporting | ₹2.5 – 5 LPA | Startups, Small IT companies |
Business Analyst | 1–4 years | SQL, Excel, Data Analysis, Communication | ₹6 – 12 LPA | Deloitte, Accenture, Capgemini |
Data Visualization Analyst | 1–3 years | Power BI, Tableau, Dashboarding | ₹5 – 10 LPA | Product companies, Startups |
SQL Developer | 1–5 years | SQL, Database Management | ₹5 – 12 LPA | IT Services, Banking sector |
Reporting Analyst | 1–3 years | Excel, SQL, Reporting Tools | ₹4 – 8 LPA | MNCs, Analytics firms |
Marketing Data Analyst | 1–4 years | Google Analytics, Excel, Data Insights | ₹5 – 10 LPA | Digital Marketing Agencies |
Product Analyst | 2–6 years | SQL, Python, Data Analysis | ₹8 – 18 LPA | Product-based companies |
BI Analyst | 2–5 years | Power BI, SQL, Data Modeling | ₹6 – 15 LPA | MNCs, Consulting firms |
Operations Analyst | 1–4 years | Excel, Data Analysis, Reporting | ₹4 – 9 LPA | Logistics, E-commerce companies |
Data Quality Analyst | 1–3 years | Data Validation, SQL, Data Cleaning | ₹4 – 8 LPA | IT, Healthcare companies |
Analytics Consultant | 3–8 years | Data Strategy, BI Tools, Business Analysis | ₹10 – 25 LPA | Big 4, Consulting companies |
100+ Companies Hiring Our Data Analytics Masters Learners
we have seen many of our students get placed in top companies across India after completing our Data Analytics Masters program. The main reason is simple — they gain strong practical skills and real-time project experience during training. Our data analytics training in Hyderabad focuses on making you job-ready, so you can confidently attend interviews and start your career in trusted organizations.
Data Analytics Certification Training In Hyderabad With Internship
After completing our Data Analytics Training in Hyderabad at Data Analytics Masters, you will earn an industry-recognized certification that confirms your skills in Excel, SQL, Python, Power BI, and data visualization. This certification adds strong value to your resume and increases your chances of getting shortlisted for Data Analyst and Business Analyst roles.
We also provide step-by-step support to help you prepare for globally recognized certifications, ensuring you gain both hands-on experience and reliable credentials in the field of data analytics.
Certifications Offered
- Data Analytics Course Completion Certificate
- Excel for Data Analysis Certification
- SQL for Data Analytics Certification
- Python for Data Analytics Certification
- Power BI / Tableau Certification
- Data Visualization Certification
- Capstone Project Certification
Other Related Data Analytics Blogs
FAQS
What should I know before starting Data Analytics training?
Before starting your journey in Data Analytics training you should know the
- Basics Computer skills
- Basic Mathematics
- Analytical Thinking
- Understanding of Database
- Programming Knowledge
- Problem-solving skills
What topics will I learn in the Data Analytics Course?
You will learn fundamental concepts of data science, python, SOL, machine learning, deep learning, natural language processing and computer vision.
What are the training modes for Data Analytics Course?
Training is provided in various modes including classroom sessions, Online training, Hybrid training and corporate training programs. For more details you can contact to this number – 9948801222
What tools will be used in the Data Analytics training?
In Data Analytics training we use tools such as Tableau, Power Bi, Advances Microsoft Excel, Ruby language, SQL are used during the training.
What is the duration of the Data Analytics Course?
The duration of the course is 3 months. In this course, we also provide classes for resume preparation tips, mock interviews, and soft skills, so that you can achieve your dream job.
Will I receive a certification after completing the Data Analytics training?
Yes, once the participant successfully completes the course, they will receive a certification from Data Analytics Masters, which is recognized in the industry.
What kind of career support is provided?
Career support includes resume building, interview preparation, job placement assistance, and networking opportunities with industry professionals.
What if I miss any of my classes?
Our training institute provides recorded classes, or you can also join other batches if needed.
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