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#1 Best Data Science Course in Hyderabad

Embark on a transformative learning experience with our meticulously crafted Data Science with Gen AI program. From Python basics to deploying LLM-powered applications — guided by industry experts with 100% placement support.

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4.9★
Google rating
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Placement support
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Years experience
Course Fee
₹45,000 ₹65,000 31% OFF
No-cost EMI from ₹3,750/month — 3, 6 or 12-month plans
Offer ends in 3 days — batch filling fast
🗓
6 Months
Duration
🎓
Beginner → Pro
Level
💻
Online + Offline
Mode
👥
Max 15/batch
Small batches
No-cost EMI Job guarantee 7-day refund
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Years experience
4.9★
Google rating
Data Science Course Hyderabad
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5,000+
Students enrolled
About this course

Data Science Course in Hyderabad

In the modern digital age, data science has become a fundamental discipline for extracting insights and knowledge from vast amounts of data. It encompasses statistical analysis, machine learning, data visualization, and domain expertise to derive actionable insights.

Medha EduTech Data Science Course in Hyderabad offers a comprehensive curriculum designed to equip students with in-demand skills in data analysis, machine learning, and big data technologies — taught by industry experts with hands-on real-world projects.

🏦 Business & Finance

Forecasting financial trends, customer segmentation, stock market analysis.

🏥 Healthcare

Predictive modeling for disease diagnosis and personalized treatment plans.

🛒 E-Commerce

Recommender systems, customer behavior analysis, and fraud detection.

🏭 Manufacturing

Predictive maintenance, demand forecasting, inventory optimization.

📱 Social Media

Sentiment analysis, content recommendation, user engagement prediction.

🚗 Autonomous Systems

Self-driving vehicles, robotics, real-time computer vision decisions.

AI Integration

Artificial Intelligence (AI)

AI simulates human intelligence processes by machines — enabling them to perform tasks that typically require human intelligence. Our program covers every major AI domain you need to thrive in the industry.

1
Machine Learning
Algorithms that enable machines to learn from data and improve performance over time.
2
Deep Learning
Neural networks with multiple layers learning complex patterns from large datasets.
3
Natural Language Processing
Machines that understand, interpret, and generate human language at scale.
4
Computer Vision
Visual recognition, object detection, semantic segmentation in images and video.
5
Generative AI
Models generating text, images, code — GANs, VAEs, GPT, diffusion models.
6
AI Applications
Healthcare diagnosis, autonomous systems, fraud detection, virtual assistants.
AI in Data Science
Program structure

Your path from zero to job-ready

Accelerated 6-month structure — covering foundations to real-world AI deployment without compromising depth or quality.

Month 1
1
Foundations of Data Science
Data types, statistics, Python programming, NumPy, Pandas, visualization — with a real EDA project.
Month 2
2
Advanced Machine Learning
All supervised & unsupervised algorithms, model evaluation, ensemble methods, ML project.
Month 3–4
3
Deep AI, NLP & Computer Vision
Deep Learning, CV, NLP, BERT, GPT — with dedicated hands-on projects for each domain.
Month 5–6
4
Capstone & Placement
Real company project, portfolio, resume prep, mock interviews, placement drives with 200+ partners.
Our Mission

Our Mission & Core Goals

Our mission is to empower aspiring data scientists in Hyderabad by providing high-quality, practical training. We bridge the skills gap with expert-led instruction, real-world projects, and cutting-edge technologies — preparing students for successful careers in data-driven industries.

🛠
Skill Development
🔬
Hands-on Learning
🏭
Industry Relevance
💼
Career Readiness
🧑‍🏫
Expert Guidance
🤝
Placement Support
Medha EduTech
Foundational tools

Data Science & AI Tools

Comprehensive training across tools for data manipulation, visualization, ML, NLP, computer vision, and cloud deployment — everything companies hire for.

NumPy Pandas Matplotlib & Plotly Scikit-learn PyTorch TensorFlow OpenCV NLTK spaCy Gensim SQL & NoSQL Power BI & Tableau AWS SageMaker LangChain GPT-4o API Docker & FastAPI Git & GitHub Hugging Face FAISS / Pinecone MLflow

Why These Tools Matter

By mastering these tools, you'll gain the skills needed to tackle a wide range of data science and AI challenges — from analyzing structured data to processing images and understanding natural language. These tools are what companies are actively hiring for today.

Course curriculum

Master Data Science & AI in 6 Months

9 modules · 97 classes · 7 real-world projects — structured for accelerated, job-ready learning without compromising depth.

📊 Program Snapshot
Duration6 Months
Total classes97 classes
Live projects7 projects
Modules9 modules
ModeOnline + Offline
CertificationDual Cert
01
Foundations of Data Science
Data types · Statistics · Visualization · Insights
10 Classes
⌄
Data Demystified
Structured Data
Unstructured Data
Semi-Structured Data
Data Types & Statistics
Numerical: Discrete & Continuous
Categorical: Nominal & Ordinal
Measures of central tendency
Measures of dispersion
Quartiles (Q1 to Q3)
Types of Distribution
Histogram & Box Plots
Visualization & Insights
Bar, Pie, Line, Area & Donut
Scatter, Bubble, Violin, SunBurst
Highlights of Data
Exploitation of Data
🏆 Project 1: Data Presentation Project
02
Data Science Pipeline
Cleaning · Transformation · Correlation · Conclusions
7 Classes
⌄
Data Cleaning & Manipulation
Missing Data Handling
Noise & Duplicate Removal
Add/Remove columns
Data types Synchronization
Transformation & Conclusions
Normalization
Standardization
Pearson Correlation Coefficient
Spearman Correlation Coefficient
Hypothesis Testing
Decision Making
🏆 Project 2: Data Pipeline Project
03
Python Programming
Syntax · OOP · File Handling · Exception Handling
10 Classes
⌄
Python Fundamentals
Basic Syntax & Data Types
Control Structures & Functions
Lists, Tuples, Sets, Dictionaries
List Comprehensions & Built-ins
Advanced Python
File Handling (CSV, JSON)
OOP: Classes & Objects
Inheritance & Polymorphism
Exception Handling
04
DS Python Packages
NumPy · Pandas · Plotly · EDA
10 Classes
⌄
NumPy
Array creation & manipulation
Mathematical & statistical functions
Broadcasting & vectorized operations
Random number generation
Pandas
Data manipulation with DataFrame
Data cleaning & preprocessing
Handling missing data & outliers
Grouping, Merging, Joining
Time series analysis
Plotly
Interactive plotting for EDA
Building Basic & Advanced Charts
Customizing layouts & styles
Animating plots and charts
🏆 Project 3: Data Analysis Project (EDA)
05
Machine Learning
Supervised · Unsupervised · Ensemble · Model Evaluation
20 Classes
⌄
Supervised Learning
Regression & Classification
Linear & Logistic Regression
Gradient Descent
K-Nearest Neighbors
Decision Trees
Unsupervised & Evaluation
K-Means Clustering
Principal Component Analysis (PCA)
Cross-Validation Techniques
Evaluation Metrics
Ensemble & Feature Engineering
Bagging & Random Forests
AdaBoost & Gradient Boosting
Feature Selection Techniques
Feature Engineering
🏆 Project 4: Machine Learning Project
06
Deep Learning
Neural Networks · CNN · RNN · LSTM · PyTorch
20 Classes
⌄
Neural Network Fundamentals
Fundamentals of Neural Networks
Activation Functions & Architectures
Forward & Back propagation
CNN & RNN
Convolutional Layers & Pooling
Feature Extraction with CNNs
Sequential Data with RNNs
LSTM Networks
PyTorch & Deployment
Introduction to PyTorch
Neural Networks Training
NN, CNN, RNN & LSTM with PyTorch
Model Optimization & Deployment
Bias, Fairness & Responsible AI
🏆 Project 5: Deep Learning Project
07
Computer Vision
OpenCV · YOLO · U-Net · Semantic Segmentation
10 Classes
⌄
Image Processing
Fundamentals of Image Processing
Image Filtering & Convolution
Edge Detection & Feature Extraction
Detection & Segmentation
CNN for Image Classification
Semantic Segmentation (FCN, U-Net)
Object Detection: YOLO, SSD
Faster R-CNN architecture
08
Natural Language Processing (NLP)
NLTK · spaCy · Word2Vec · BERT · Transformers
10 Classes
⌄
Text Preprocessing
Tokenization & Text Normalization
Stopword Removal & Stemming
Bag-of-Words & TF-IDF
N-gram Language Models
Embeddings & Classification
Word2Vec & GloVe Embeddings
Contextual Embeddings: ELMo, BERT
Sentiment Analysis
Text Classification (ML + DL)
Named Entity Recognition (NER)
Sequence-to-Sequence Models
🏆 Project 6: CV or NLP Project
09
Advanced NLP & Generative AI
BERT · GPT · LLMs · Fine-tuning · Latest Research
10 Classes
⌄
Language Models
Pre-trained LMs: BERT, GPT, XLNet
Transfer Learning for NLP
Fine-tuning Strategies & Techniques
BERT & GPT Deep Dive
BERT Architecture & Components
BERT for Text Classification, NER
GPT Architecture & Components
GPT for Text Generation, Q&A
Recent Advances
GPT-4, BERT Large, T5 models
Current Trends in NLP Research
Future Directions in Generative AI
🏆 Project 7: Real Company Project
Key areas

"Key Areas of Data Science"

Essential topics covering data analysis, machine learning, visualization, big data processing, and statistical modeling — equipping you to drive data-driven decisions.

Data Collection & Preparation
Gathering, cleaning, and organizing data from various sources to ensure quality and usability for analysis.
Exploratory Data Analysis
Exploring and visualizing data to identify patterns, trends, and anomalies for better decisions.
Statistical Analysis
Statistical techniques to uncover correlations, test hypotheses, and make data-backed predictions.
Machine Learning
Algorithms to identify patterns and make decisions — classification, regression, clustering.
Data Visualization
Charts, graphs, and dashboards that communicate insights effectively for decision-making.
Hiring partners

We Are Your Right Choice

Our course includes dedicated job placement support — resume building, interview preparation, and access to our vast industry network. Our graduates secure rewarding roles in data science and analytics.

Amazon
Google
Microsoft
TCS
Infosys
Wipro
Cognizant
HCL
Deloitte
Accenture
IBM
Capgemini
Tech Mahindra
L&T Infotech
Mphasis
Hexaware
Student reviews

5,000+ careers. Real stories.

★★★★★

The curriculum is genuinely industry-aligned and mentors are always available for doubts. I landed a role at Infosys within 2 months of completing the course — the mock interviews were a complete game-changer.

SK
Suresh Kumar
Data Analyst
@ Infosys — ₹7.2 LPA
★★★★★

Best investment I have made in my career. The Gen AI modules are super relevant. The placement prep — resume, LinkedIn, mock rounds — gave me the confidence to crack every interview round I attended.

MR
Meera Reddy
ML Engineer
@ Wipro — ₹8.5 LPA
★★★★★

Small batch size made a huge difference — individual attention every session. The real projects helped me build a portfolio that stood out in every interview. Highly recommend Medha EduTech!

AP
Ajay Patel
Data Scientist
@ TCS — ₹9.1 LPA
FAQ

Frequently
Asked Questions

Our counsellors are available 9 AM – 9 PM every day. Still have something specific in mind? Talk to us directly.

Who is this program for?+
Our program is designed for individuals from diverse backgrounds — students, working professionals, or career changers — interested in pursuing a career in data science and AI. We welcome learners of all levels, from beginners to advanced.
Do I need prior experience to enroll?+
No prior experience or prerequisites are required. We welcome learners of all levels and provide comprehensive training from the ground up — starting from Python basics and statistics, all the way to deploying AI systems.
What will I learn in this program?+
You'll cover Python, Statistics, Machine Learning, Deep Learning, Computer Vision, NLP, Advanced NLP with BERT & GPT, and Generative AI with LLMs — through 9 modules, 97 classes, and 7 real-world projects totaling 6 months of learning.
Is the course available online?+
Yes — both live online (instructor-led Zoom sessions with recordings) and offline (Ameerpet, Hyderabad centre) batches run in parallel. You can switch between modes if your schedule changes at any point.
What placement support is provided?+
We provide 100% placement assistance — resume building, LinkedIn optimisation, 15+ mock interviews, soft skills training, and direct referrals to our 200+ hiring partners. Most students receive their first offer within 60 days of completing the course.
Are there EMI / payment options?+
Yes — 0% interest EMI is available through our banking partners in 3, 6, or 12-month plans. We also offer a deferred payment option for students with confirmed job offers. Contact our counsellors for personalised guidance.
What if I miss a class?+
All sessions are recorded and available in the portal within 24 hours. You get access to a live doubt-clearing helpdesk, and can attend the same module in the next batch at no extra cost.
Enroll today

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Fill in your details and a counsellor will call you within 30 minutes (9 AM – 9 PM, every day).

No spam. No pushy sales calls. Just helpful, honest answers from our team.

Start your journey

Your data career starts
with one decision.

Join 5,000+ students who built their careers with Medha EduTech, Hyderabad.

📞  Call Us: +91-83415 70179
📍 #603, Nilgiri Block, Aditya Enclave, Ameerpet, Hyderabad  |  📞 +91-83415 70179  |  ✉ support@medhaedutech.com

Contact Us

Flat No: 603, 6th Floor, Nilgiri Block, ADITYA ENCLAVE,
HNo: 7-1-618, Kumar Basti, Ameerpet, Hyderabad, Telangana 500038
Support@medhaedutech.com
Call Us: ‎+91-83415 70179
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