PYTHON · SQL · ML · POWER BI
Data Science Course in Hyderabad
Learn Python, statistics, SQL, Power BI, machine learning, deep learning and NLP in a 4-month program with hands-on projects, a capstone and placement assistance. Classroom and live online batches, easy EMI and a free demo class before you enrol.
★ 4+ Google rating from 100+ reviews · 9,000+ students trained · 523+ batches completed · Teaching since 2021
Trainer: Ms. Tabassum, Data Science Instructor (10+ years) · Updated September 2026
TrainerMs. Tabassum · 10+ years
Duration4 months
FeesFrom ₹14,999 · EMI
ModesClassroom + online
Data Science Training in Hyderabad
Brolly Academy's Data Science Course in Hyderabad is a 4-month, hands-on program in Python, statistics, SQL, Power BI, machine learning, deep learning and NLP, taught by Ms. Tabassum (10+ years in data science and machine learning). Plans start at ₹14,999, classes run in the classroom or live online, and every student gets a course completion certificate and placement assistance.
The course is built for freshers, working professionals and career changers. You learn through case studies, assignments and capstone projects on real business problems, and finish with a portfolio, a polished resume and interview practice for data scientist, data analyst and machine learning roles in Hitech City, Gachibowli, Madhapur and Kukatpally.
Why choose Brolly Academy for data science training?
Training and support✓ Industry-ready course built for Hyderabad jobs
✓ Trainer with 10+ years in data science and ML
✓ Projects with Python, SQL, Power BI and Tableau
✓ Personal mentorship for career growth
✓ Capstone projects on real business problems
✓ Resume building and LinkedIn optimisation
✓ Interview preparation with mock sessions
✓ Placement support with IT companies and MNCs
Flexibility and value✓ Classroom and live online batches
✓ Weekday and weekend batch options
✓ Free demo class before you enrol
✓ Affordable fees with easy EMI
✓ Syllabus updated for 2026
✓ Group learning on WhatsApp and Discord
✓ Brolly Academy course completion certificate
✓ 4+ Google rating from 100+ reviews
Data Science Course Syllabus (20 Modules)
Our data science course in Hyderabad follows a 20-module syllabus that takes you from Python and statistics to SQL, Power BI, machine learning, deep learning and NLP, finishing with assignments, interview preparation and hands-on projects.
Module 1: Introduction to Data Science
Definition and scope of data science, the data science lifecycle, types of data (structured, unstructured and semi-structured), and data science tools and technologies.
Module 2: Python Basics
Introduction to Python, data structures, conditional statements, loops, functions and lambda, file handling, exception handling, object-oriented programming basics and Python libraries.
Module 3: Statistics & Probability
Descriptive statistics (mean, median, mode), inferential statistics (hypothesis testing, confidence intervals), probability distributions (Bernoulli, binomial, normal) and Bayes’ theorem.
Module 4: Data Cleaning & Preprocessing
Handling missing data, normalisation and scaling, data transformation (log, square root), and data quality and validation.
Module 5: Data Wrangling
Data structures with Pandas and NumPy, data manipulation (merge, join, group by) and data aggregation (sum, mean, count).
Module 6: Data Visualization
Principles of data visualisation and charting with Matplotlib, Seaborn and Plotly.
Module 7: Descriptive Analytics
Summary statistics, visualisations such as histograms and box plots, and correlation analysis.
Module 8: Inferential Analytics
Hypothesis testing (t-test, ANOVA), confidence intervals and regression analysis.
Module 9: SQL Fundamentals
SQL syntax and data types, SELECT, INSERT, UPDATE and DELETE, filtering with WHERE, AND, OR and NOT, and sorting and limiting with ORDER BY and LIMIT.
Module 10: Data Modeling
Entity-relationship modelling, database design principles, normalisation (1NF, 2NF, 3NF) and denormalisation.
Module 11: Advanced SQL Queries
Aggregate functions, GROUP BY and HAVING, inner, left and right joins, subqueries, window functions (ROW_NUMBER, RANK), views, stored procedures, triggers and functions.
Module 12: Power BI
Power BI Desktop, data transformation with Power Query, data modelling, DAX functions, visualisation techniques and interactive dashboards.
Module 13: Supervised Machine Learning
Linear and logistic regression, support vector machines, decision trees, k-nearest neighbours, Naive Bayes, random forest and boosting (XGBoost, AdaBoost, gradient boosting).
Module 14: Unsupervised Machine Learning
Clustering (k-means, hierarchical, DBSCAN), dimensionality reduction with PCA, and association rule mining (Apriori, Eclat, FP-Growth).
Module 15: Model Evaluation & Selection
Confusion matrix, accuracy, precision and recall, and cross-validation.
Module 16: Neural Networks & Deep Learning
Introduction to neural networks and deep learning architectures: ANN, CNN and RNN.
Module 17: Natural Language Processing
Introduction to NLP, text preprocessing, tokenisation and sentiment analysis.
Module 18: Assignments
Module-wise assignments so you practise every concept as you learn it.
Module 19: Resume Prep & Interview Support
Resume preparation and interview support for data science, analytics and machine learning roles.
Module 20: Projects
Hands-on data science projects, from exploratory data analysis on online retail sales to fraud detection and recommendation engines (see the projects below).
Get the full data science syllabus and fee details on WhatsApp
Send us a message and we will share the complete module list, fee plans, EMI options and the next batch dates. New batches start every week, and a free demo class is available.
Data Science Career Roadmap – Beginner to Advanced in 4 Months
Our Data Science course is split into 4 practical stages over 4 months, in the classroom or live online, with hands-on practice at every step.

Month 1Python, statistics & data analysisPython fundamentals and data structures, statistics and probability, and data cleaning and wrangling with Pandas and NumPy on real datasets.
Month 2Machine learning & visualisationRegression and classification models with Scikit-learn, supervised and unsupervised algorithms, and dashboards in Power BI, Tableau and Matplotlib.
Month 3Deep learning, big data & projectsNeural networks with TensorFlow, Keras and PyTorch, an introduction to Hadoop and Spark, and group capstone projects on Hyderabad industry use cases.
Month 4Career prep, certification & placementMock interviews, resume and LinkedIn optimisation, portfolio polish, your course certificate and placement assistance.
What is Data Science and Why Is It Important?
Data science is the study of data to find useful insights. Data scientists collect, clean, analyse and visualise large amounts of data, using statistics, programming and machine learning to spot patterns, forecast trends and help businesses make better decisions. It is used in healthcare, finance, retail, technology and more.
Better decisionsSmart choices based on real data, not guesses.
Saves timeAutomates processes and speeds up workflows.
Understands customersReveals preferences and behaviour to improve products.
Drives innovationUncovers new business opportunities and smarter solutions.
Manages riskPredicts and prevents potential problems.
Plans aheadUses data trends to plan strategies effectively.
Personalised experiencesAdapts services and marketing to individual users.
Detects fraudSpots unusual activity to reduce losses.
High-demand careersGrowing job opportunities in India and worldwide.
Data Science vs Data Scientist: What’s the Difference?
Data science (the field)Definition: extracting insights from data
Focus: collection, cleaning, analysis and visualisation
Skills: statistics, programming and ML basics
Tools: Python, R, SQL, Tableau, Power BI
Outcome: reports, dashboards and insights
Careers: analyst, data engineer, data scientist
Data scientist (the professional)Definition: a professional who applies data science
Focus: building models and solving complex problems
Skills: advanced programming, ML, AI and big data
Tools: Python, R, Spark, Hadoop, TensorFlow
Outcome: predictive models and AI solutions
Careers: data scientist, ML engineer, chief data officer
Benefits of the Data Science Course in Hyderabad
Choose classroom or live online training at Brolly Academy and get the same expert trainer, real-world projects and placement support in either mode.
01Learn from industry expertsStep-by-step instruction from experienced data scientists and analytics professionals.
02Master essential toolsHands-on training with Python, R, SQL, Tableau and Power BI.
03Work on real-time projectsPractical solutions using machine learning, statistics and predictive analytics.
04Get placement supportResume building, mock interviews and job referrals for Hyderabad IT companies.
05Earn a course certificateA Brolly Academy certificate that shows the skills you trained in.
06Build a strong maths baseProbability, statistics and linear algebra applied to real problems.
07Go deeper into machine learningSupervised and unsupervised learning, neural networks, deep learning and NLP.
08Handle big dataAn introduction to Hadoop and Spark for large datasets.
09Learn your wayClassroom, live online or hybrid batches, with easy EMI.
Thinking of Data Science Training in Hyderabad?
Here is how hands-on training at Brolly Academy compares with a traditional class.
Traditional training✗ You listen passively, with little interaction
✗ Outdated slides and theory-heavy notes
✗ Trainers with only basic knowledge
✗ Rare hands-on practice
✗ Small exercises with little business context
✗ Support ends after the course
✗ Little or no placement or interview prep
✗ Generic, pre-recorded content
Brolly Academy training✓ You code and solve real problems from day one
✓ Python, SQL, Power BI, Tableau and machine learning
✓ Mentoring from an experienced data science trainer
✓ Daily labs on preprocessing, statistics and ML
✓ Capstone projects on predictive analytics and dashboards
✓ Resume, interview and LinkedIn preparation
✓ Peer discussions on WhatsApp and Discord
✓ Placement guidance and portfolio support
Meet Your Data Science Trainer
INSTRUCTOR
Ms. Tabassum
Data Science Instructor & Analytics Specialist · 10+ years in data science and machine learning
Ms. Tabassum has trained 350+ students in Hyderabad and brings hands-on project experience in healthcare analytics, financial forecasting, customer segmentation and business intelligence dashboards. Her expertise covers Python, R, SQL, statistics, data visualisation, machine learning and predictive analytics. Her classes are interactive and practical, with hands-on coding on real datasets, so both freshers and working professionals become job-ready.
Skills You’ll Gain from the Data Science Course
Python, R & SQLProgram effectively for data analysis and manipulation.
Data explorationClean, explore and interpret complex datasets with statistics.
Machine learningBuild predictive models and find patterns with ML algorithms.
Data visualisationPresent insights with Power BI, Tableau and Matplotlib.
StatisticsA strong base in the statistical techniques data science relies on.
Deep learning & NLPNeural networks, text preprocessing and sentiment analysis.
Big data basicsWork with large datasets using Hadoop and Spark.
Business problem solvingTackle real business problems with data-driven solutions.
Communicating insightsExplain findings clearly to technical teams and business stakeholders.
Data Science Capstone Projects
You build portfolio-ready projects that show employers how you use data analysis, modelling and visualisation, for careers in IT, business analytics, finance and more.
Project 1Predictive sales analyticsA sales forecasting model in Python to guide inventory and marketing decisions.
Project 2Customer segmentationClustering algorithms that group customers by buying behaviour for targeted marketing.
Project 3Financial risk dashboardAn interactive Power BI or Tableau dashboard that visualises trends and risk levels.
Project 4Big data processingPreprocess and analyse large retail or health datasets with Hadoop and Spark.
Project 5Business intelligence reportingBI reports that combine data sources to track key performance metrics.
Project 6Recommendation engineA personalised recommendation system using collaborative filtering.
PracticePrediction projectsCustomer churn, student performance, house price and heart disease prediction.
PracticeNLP projectsSentiment analysis on Twitter data, fake news detection and an NLP-based recommendation engine.
PracticeClassification & EDACredit card fraud detection, breast cancer classification, movie recommendations and EDA on online retail sales.
Tools you use: Python · Jupyter Notebook · Pandas · NumPy · Scikit-learn · Matplotlib · Seaborn · SQL · Power BI · Tableau · TensorFlow · Keras · Hadoop · Spark
Data Science Course Fee & Offerings in Hyderabad
Choose the plan that suits how you learn. Every plan covers basic to advanced data science with projects, and the Classroom and Online plans come with easy EMI.
Video Recording₹14,999Was ₹19,999
Basic to advanced modules (Python, ML, DL, statistics)
80+ recorded classes
Lifetime video access
1 capstone project
Resume and interview support
WhatsApp group access
Most popularClassroom Training₹45,000Was ₹55,000
4-month structured classroom program
Working-professional data science trainer
Real-time projects (predictive models, dashboards)
One-on-one mentorship and lab support
Monthly mock interviews
Soft skills and aptitude training
Dedicated placement officer
Online Course₹24,999Was ₹30,000
Live interactive classes, flexible timings
Daily recorded sessions for revision
Project environment from day 1
Weekly mock interviews
Doubt-clearing sessions
50+ sample resumes
Easy EMI is available on the Classroom and Online plans. Ask about the current batch offer when you book your free demo class.
Placement Program for Data Science Training in Hyderabad
Our placement support helps you build industry-ready skills and get interviews with IT companies and MNCs in Hyderabad and across India.
Resume buildingATS-friendly resumes for data science, analytics and data engineering roles.
Placement trainingHow to apply, target openings and crack company-specific hiring processes.
Interview question bankData science and analytics interview questions with answers.
Internships under expertsHands-on internship opportunities that add real projects to your profile.
Real-time projectsPractical experience in analytics, machine learning and visualisation.
Aptitude preparationLogical reasoning, problem-solving and technical skills for data roles.
Personality developmentCommunication, presentation and confidence for client interactions.
Mock interviewsTechnical and HR rounds to build your confidence.
Interview schedulingWe connect you with hiring companies and support you through to an offer.
What Our Students Say About Data Science Training in Hyderabad
"Brolly Academy provides quality training for the Data Science Course in Hyderabad. The trainer had good knowledge of data science, including Python, deep learning, machine learning and AI. I also liked their placement program, which was very helpful to me."Riya
"I enrolled in the Data Science online course at Brolly Academy. The trainers have deep knowledge of each topic and teach with real-time examples. I recommend Brolly Academy to anyone who wants to join a Data Science course in Hyderabad."Ansuman
"I joined Brolly Academy for a data science course in Hyderabad and want to thank the entire team for helping me get placed in a good company. Their placement training covered everything and gave me the confidence to crack my interviews."Suchitra
"Brolly Academy is one of the best places to learn data science in Hyderabad. The training is good quality, and the trainers are polite and clear our doubts on time. Thanks to Brolly Academy for helping me start my career in data science."Sarita
Student community
Learning & collaborationWork with fellow students on data science projects and solve problems together.
Resources and toolsStudy materials, datasets and live projects to practise anytime.
NetworkingConnect with data professionals, trainers and hiring partners at community events.
MentorshipLearn directly from experienced data science professionals.
Career developmentPlacement assistance, internship opportunities and career coaching.
Pre-requisites & Eligibility
Data science eligibility depends mainly on your interest in working with data, basic maths and a willingness to practise. Beginners and working professionals can start without prior professional experience, and programming is taught from scratch.
No experience requiredDesigned for both beginners and professionals.
Basic mathsAlgebra, probability and statistics such as mean, median, standard deviation and correlation.
Problem-solvingThe ability to analyse data critically and make decisions.
ProgrammingPython or R basics help but are not mandatory; we teach from scratch.
Data handlingFamiliarity with Excel or spreadsheets helps; SQL is taught in the course.
CuriosityAnyone with curiosity and a willingness to learn can enrol and succeed.
Who Should Learn the Data Science Course?
Aspiring data scientists & analystsBuild a strong base for large datasets, predictive models and business insights.
IT professionals & developersMove into data engineer, ML engineer or data analyst roles.
Finance & banking professionalsUse data for fraud detection, forecasting and investment analysis.
EngineersApply analytics to predictive maintenance, quality control and optimisation.
Managers & entrepreneursMake data-driven decisions on markets and customer behaviour.
Marketing & sales teamsUse customer data for targeting, segmentation and prediction.
Students from any backgroundMaths, engineering, commerce or arts graduates who want a versatile skill set.
AI & ML enthusiastsUnderstand how AI, machine learning and big data fit together.
Career changers & job seekersSwitch into high-demand data roles in healthcare, e-commerce, BFSI and more.
Data Science Career Opportunities in Hyderabad
Data scientistExtract insights with statistical models and machine learning.
Data analystInterpret and visualise data, build dashboards and reports.
Machine learning engineerDesign, build and deploy ML models for real applications.
Data engineerBuild and maintain pipelines that collect, store and process data.
BI analystDeliver reports and insights with Power BI or Tableau.
AI specialistDevelop deep learning, neural network and NLP solutions.
Data architectDesign secure, efficient data systems for large-scale storage.
Quantitative analystApply statistical modelling to finance and risk.
Research scientistDevelop new algorithms and models through original research.
Data scientist salary in Hyderabad – 2026
Data scientist₹6–25 LPAFreshers ₹6–14 LPA · 2–4 years ₹15–25 LPA · leads ₹35 LPA+
Data analyst₹4–16 LPAFreshers ₹4–6 LPA · 2–4 years ₹11–16 LPA · senior ₹14–50 LPA
ML engineer₹8–30 LPAFreshers ₹8–14 LPA · 2–4 years ₹18–30 LPA · senior ₹40 LPA+
Data engineer₹6–25 LPAFreshers ₹6–12 LPA · 2–4 years ₹15–25 LPA · senior ₹30 LPA+
BI analyst₹6–20 LPAFreshers ₹6–10 LPA · 2–4 years ₹12–20 LPA · senior ₹20–40 LPA
Hiring companiesWhere students applyGoogle · Microsoft · Amazon · TCS · Infosys · Wipro · HCLTech · Tech Mahindra · Capgemini · Accenture · Deloitte · IBM · Cognizant · Oracle · Cisco
Data Science Certification You Will Receive
After completing the course you receive a Brolly Academy Data Science course completion certificate that highlights your skills in Python, SQL, statistics, machine learning and data visualisation. Together with your capstone projects, it strengthens your resume for data science, machine learning and analytics roles.
Global certifications to aim for next: the course gives you a foundation for vendor exams such as Microsoft Certified: Azure Data Scientist Associate, Google Professional Data Engineer, AWS Certified Machine Learning and the IBM Data Science Professional Certificate. These are issued and examined by the vendors, and exam fees are separate.
Market trends for data science in Hyderabad
Strong industry growthHyderabad’s IT industry, startups and AI adoption keep demand for data roles rising.
Jobs across industriesOpenings in IT, healthcare, BFSI, e-commerce and retail.
Global employersMicrosoft, Amazon, Deloitte, Infosys and TCS run data and analytics teams in Hyderabad.
Emerging technologiesAI, cloud computing and predictive analytics shape the skills in demand.
Infrastructure & policyTelangana’s IT parks and digital initiatives attract tech talent to the city.
Career flexibilityRoles for freshers, experienced professionals and career switchers.
Data Science Course in Kukatpally, Hyderabad
Our centre is at Metro Pillar No. A689, Dr Atmaram Estates, 3rd Floor, Nizampet X Roads, near JNTU Metro Station, Hyderabad 500072. Students join from Kukatpally, KPHB Colony, JNTU, Nizampet, Miyapur, Hitech City, Madhapur and Ameerpet (a short metro ride). Can’t make it to class? Join the same course live online.
Other relevant courses
Machine LearningGo deeper into ML algorithms, model tuning and deployment.
Generative AIBuild with large language models, prompt engineering and AI apps.
Business AnalystRequirements, process modelling and analytics for business roles.
AWSCloud computing on Amazon Web Services.
Google Cloud (GCP)Google Cloud Platform fundamentals and data services.
Azure DevOpsCI/CD pipelines and DevOps practices on Microsoft Azure.
Data Science Course in Hyderabad – FAQs
1. What is the fee for the data science course in Hyderabad at Brolly Academy?
Our data science course fees start at ₹14,999 for the Video Recording plan. The live Online Course is ₹24,999 and the most popular Classroom Training is ₹45,000. Easy EMI is available on the Classroom and Online plans, and you can attend a free demo class before you pay anything.
2. How long is the data science course?
The Brolly Academy data science course runs for 4 months: Python, statistics and data analysis in month 1, machine learning and visualisation in month 2, deep learning, big data and projects in month 3, and career preparation, certification and placement support in month 4. New batches start every week.
3. Which is the best data science course in Hyderabad?
The best course gives you hands-on coding, real projects and interview preparation with an experienced trainer at a fair fee. Brolly Academy offers a 20-module syllabus, capstone projects, a trainer with 10+ years in data science and ML, placement assistance and plans from ₹14,999. Attend a free demo class and compare.
4. What is the data science course syllabus?
Our 20-module syllabus covers Python, statistics and probability, data cleaning and wrangling, visualisation, SQL and data modelling, Power BI, supervised and unsupervised machine learning, model evaluation, deep learning (ANN, CNN, RNN) and NLP, followed by assignments, resume and interview preparation, and hands-on projects.
5. Do I need coding experience to learn data science?
No. Prior coding knowledge is not required. We teach Python and SQL from scratch, starting with basics such as data structures, loops and functions before moving on to Pandas, NumPy and machine learning. Basic maths helps, and your trainer supports you with assignments and doubt-clearing sessions throughout the course.
6. Can I learn data science without a technical background?
Yes. Students from commerce, arts, science, finance and marketing backgrounds join our data science course. The syllabus starts from the fundamentals, and daily practice on real datasets builds your confidence. Many career switchers use it to move into data analyst and business intelligence roles before growing into data scientist positions.
7. What is the salary of a data scientist in Hyderabad?
Freshers in data science roles in Hyderabad typically earn ₹6–14 LPA, and data analysts start at around ₹4–6 LPA. With 2–4 years of experience, data scientists earn ₹15–25 LPA and machine learning engineers ₹18–30 LPA, while senior and lead roles can go well beyond ₹35 LPA.
8. Do you provide placement after the data science course?
Yes, we provide placement assistance: ATS-friendly resumes, placement training, interview question banks, mock interviews, aptitude and personality development, and interview scheduling with hiring companies. Classroom students also get a dedicated placement officer, and your trainer helps you polish your portfolio projects so you stand out in interviews.
9. Will I get a certificate after the data science course?
Yes. After completing the course you receive a Brolly Academy Data Science course completion certificate covering Python, SQL, statistics, machine learning and data visualisation. The course also prepares you for vendor certifications such as Microsoft Azure Data Scientist Associate or Google Professional Data Engineer, which you can take separately.
10. Is the online data science course as good as classroom training?
Yes. Online students attend live interactive classes with the same trainer, projects and placement support as classroom students, plus daily recordings for revision. Choose classroom training at our JNTU centre if you prefer face-to-face mentoring and lab support, or online if you need flexible timings.
11. Which tools will I learn in the data science course?
You work with Python, Jupyter Notebook, Pandas, NumPy, Scikit-learn, Matplotlib and Seaborn, SQL, Power BI and Tableau, and get an introduction to TensorFlow, Keras, Hadoop and Spark. Every tool is taught hands-on through assignments and projects, so you can use it confidently in interviews and on the job.
12. What is the difference between data science and machine learning?
Data science is the broader field: collecting, cleaning, analysing and visualising data to answer business questions. Machine learning is a subset that focuses on algorithms that learn from data to make predictions. Our course covers both, from statistics and dashboards to supervised, unsupervised and deep learning models.
13. What projects will I build during the data science course?
You build six capstone projects, including sales forecasting, customer segmentation, a financial risk dashboard, big data processing with Hadoop and Spark, BI reporting and a recommendation engine, plus practice projects such as churn prediction, fraud detection and sentiment analysis. Together they form a portfolio you can show employers.
14. Can a data science course help me switch careers?
Yes. Many IT and non-IT professionals in Hyderabad reskill with us to move into data roles. We start from the basics, fit around your job with weekday and weekend batches, and help you build projects, a data-focused resume and interview skills so you can make the switch with confidence.
15. Where can I join a data science course near me in Hyderabad?
Our centre is at Nizampet X Roads, near JNTU Metro Station (Metro Pillar A689, Dr Atmaram Estates, 3rd Floor). It is a short trip from Kukatpally, KPHB, Miyapur and Hitech City, and easy to reach by metro from Ameerpet. You can also join live online, and book a free demo class first.
Got more questions? Talk to our team directly
Contact us and our academic counsellor will get in touch with you shortly. A free demo class is available before you enrol.