Data Science

₹45,000/-

Data Science Course near KPHB, Hyderabad

Data Science

Learn online from anywhere or attend offline classes in Hyderabad while building real data science skills with Python, machine learning, deep learning, GenAI, and portfolio projects aimed at analyst and AI roles.

4 MonthsDuration

Online / OfflineMode

4.8 ★Rating

18 May 2026Next Batch

100%Placement Support

About

What this program is about and what you'll achieve.

"IntellentX's Data Science Course in Hyderabad is a comprehensive 20-week program available online and offline, built for learners who want to move beyond spreadsheets and into machine learning, deep learning, and GenAI."

You will work with Python, pandas, scikit-learn, TensorFlow, and SQL on real-world datasets — completing 5 major projects that you can showcase in interviews. The curriculum covers everything from statistics and EDA through to model deployment on AWS and GCP. Graduates are equipped for roles such as Data Scientist, ML Engineer, and AI Analyst at product companies and analytics firms.

Tools & Stack

Technologies and platforms you'll work with hands-on.

Python, NumPy, pandas, and Matplotlib

scikit-learn, TensorFlow, and PyTorch

SQL and database querying

Big data and cloud deployment workflows

GenAI and modern model deployment tooling

Projects

Real-world projects you'll build to strengthen your portfolio.

01PROJECT 01

Exploratory Data Analysis (EDA) of Sales Data

Analyze 12 months of retail sales data to identify purchasing trends, peak seasons, and customer behavior patterns using Python libraries for data cleaning, visualization, and actionable business insights..

02PROJECT 02

University Course Registration System

Design and develop a normalized SQL database system to manage student enrollments, faculty assignments, and academic reporting — covering schema design, CRUD operations, joins, subqueries, and report generation..

03PROJECT 03

End-to-End Cancer Detection using ML with Deployment

Build a machine learning model to predict malignant or benign tumors using diagnostic medical data, deployed as a web application for real-time predictions..

04PROJECT 04

Customer Segmentation using Clustering

Use unsupervised learning techniques to group customers based on purchasing behavior, recency, frequency, and spending habits to help businesses create targeted marketing strategies..

05PROJECT 05

Air Passenger Traffic Forecasting with Deployment

Develop time series forecasting models to predict future air passenger traffic trends, including deployment of an interactive dashboard for real-time forecasting..

06PROJECT 06

Plant Disease Classification using CNN + Transfer Learning

Create an AI-based image classification system that detects plant diseases from leaf images using deep learning, designed to assist farmers with early disease detection..

07PROJECT 07

Security Surveillance System using Object Detection

Build a real-time surveillance solution using OpenCV and YOLO/SSD models to detect people, vehicles, and suspicious objects, with alert mechanisms for enhanced security monitoring..

08PROJECT 08

Customer Sentiment Analysis from Product Reviews

Develop an NLP model using LSTM to classify customer reviews into positive, neutral, or negative sentiment — useful for real-time customer feedback analysis..

09PROJECT 09

News Summarizer using BERT

Create an abstractive text summarization system that converts lengthy news articles into concise summaries using BERT and attention mechanisms..

10PROJECT 10

Multilingual Chatbot using LLMs

Build an enterprise-grade chatbot capable of handling customer queries in multiple languages using OpenAI models, Rasa workflows, and API integrations..

Career Outcomes

Roles and opportunities you'll be ready for after completing this program.

Data Scientist

Machine Learning Engineer

AI Analyst

Applied Data Science Associate

Curriculum

6 modules covering everything from fundamentals to advanced topics.

Programming Foundations

Python Basics

Control Flow

Data Structures – I

Data Structures – II

Functions & Modules

File Handling

Error Handling

OOP in Python

Python Libraries – NumPy

Python Libraries – Pandas

Visualization & EDA

Database Basics

SQL Basics

Filtering & Functions

Joins

Subqueries & CTEs

Window Functions

Descriptive Statistics

Probability Basics

Distributions

Inferential Statistics

Hypothesis Testing

ML Foundations

Data Preprocessing

Regression Models

Model Evaluation

Classification Models

Decision Trees

Ensemble Models

Support Vector Machines

Unsupervised Learning

Dimensionality Reduction

Model Tuning

End-to-End ML Project

Neural Network Basics

ANN Architecture

TensorFlow / PyTorch

Optimization

CNN Foundations

Computer Vision Analytics

Transfer Learning

Object Detection

Image Segmentation

DL End-to-End Project

NLP Foundations

Classical NLP

Transformer Architecture

Modern LLM Ecosystem

Prompt Engineering

Embeddings Deep Dive

Vector Databases

RAG Architecture

Advanced RAG

Fine-tuning LLMs

LLM Evaluation

Multimodal LLMs

LLM Agents

LLM Deployment

Security & Ethics

LLM End-to-End Project

Prerequisites

What you should know or have before joining this program.

Basic programming experience in Python

Understanding of basic statistics

Who Is This For?

This program is designed for the following learners.

Aspiring data scientists and machine learning enthusiasts

Analysts seeking to expand into predictive modeling

Anyone curious about extracting knowledge from data

Why study near KPHB?

Why students from KPHB choose IntellentX for Data Science

KPHB Colony, Nizampet, and Bachupally students and professionals choose IntellentX for Data Science training because the quality of instruction stands out. The Data Science programme is 4 Months long, conducted in small batches of under 20, and structured around hands-on projects from day one. Rather than lectures and slides, you work through real-world scenarios, tools, and datasets that Data Science professionals use every day. The commute from KPHB to our Himayatnagar campus via metro takes roughly 25-30 minutes — and every student who has made that journey tells us the quality of training made it worth it. Our placement cell actively assists students from the KPHB area with resume building, mock interviews, and direct referrals to hiring companies.

FAQs — Data Science near KPHB

Common questions from students near KPHB

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About

What this program is about and what you'll achieve.

Tools & Stack

Technologies and platforms you'll work with hands-on.

Python, NumPy, pandas, and Matplotlib

scikit-learn, TensorFlow, and PyTorch

SQL and database querying

Big data and cloud deployment workflows

GenAI and modern model deployment tooling

Projects

Real-world projects you'll build to strengthen your portfolio.

01PROJECT 01

Exploratory Data Analysis (EDA) of Sales Data

02PROJECT 02

University Course Registration System

03PROJECT 03

End-to-End Cancer Detection using ML with Deployment

Build a machine learning model to predict malignant or benign tumors using diagnostic medical data, deployed as a web application for real-time predictions..

04PROJECT 04

Customer Segmentation using Clustering

Use unsupervised learning techniques to group customers based on purchasing behavior, recency, frequency, and spending habits to help businesses create targeted marketing strategies..

05PROJECT 05

Air Passenger Traffic Forecasting with Deployment

Develop time series forecasting models to predict future air passenger traffic trends, including deployment of an interactive dashboard for real-time forecasting..

06PROJECT 06

Plant Disease Classification using CNN + Transfer Learning

Create an AI-based image classification system that detects plant diseases from leaf images using deep learning, designed to assist farmers with early disease detection..

07PROJECT 07

Security Surveillance System using Object Detection

Build a real-time surveillance solution using OpenCV and YOLO/SSD models to detect people, vehicles, and suspicious objects, with alert mechanisms for enhanced security monitoring..

08PROJECT 08

Customer Sentiment Analysis from Product Reviews

Develop an NLP model using LSTM to classify customer reviews into positive, neutral, or negative sentiment — useful for real-time customer feedback analysis..

09PROJECT 09

News Summarizer using BERT

Create an abstractive text summarization system that converts lengthy news articles into concise summaries using BERT and attention mechanisms..

10PROJECT 10

Multilingual Chatbot using LLMs

Build an enterprise-grade chatbot capable of handling customer queries in multiple languages using OpenAI models, Rasa workflows, and API integrations..

Career Outcomes

Roles and opportunities you'll be ready for after completing this program.

Data Scientist

Machine Learning Engineer

AI Analyst

Applied Data Science Associate

Curriculum

6 modules covering everything from fundamentals to advanced topics.

Programming Foundations

Python Basics

Control Flow

Data Structures – I

Data Structures – II

Functions & Modules

File Handling

Error Handling

OOP in Python

Python Libraries – NumPy

Python Libraries – Pandas

Visualization & EDA

Database Basics

SQL Basics

Filtering & Functions

Joins

Subqueries & CTEs

Window Functions

Descriptive Statistics

Probability Basics

Distributions

Inferential Statistics

Hypothesis Testing

ML Foundations

Data Preprocessing

Regression Models

Model Evaluation

Classification Models

Decision Trees

Ensemble Models

Support Vector Machines

Unsupervised Learning

Dimensionality Reduction

Model Tuning

End-to-End ML Project

Neural Network Basics

ANN Architecture

TensorFlow / PyTorch

Optimization

CNN Foundations

Computer Vision Analytics

Transfer Learning

Object Detection

Image Segmentation

DL End-to-End Project

NLP Foundations

Classical NLP

Transformer Architecture

Modern LLM Ecosystem

Prompt Engineering

Embeddings Deep Dive

Vector Databases

RAG Architecture

Advanced RAG

Fine-tuning LLMs

LLM Evaluation

Multimodal LLMs

LLM Agents

LLM Deployment

Security & Ethics

LLM End-to-End Project

Prerequisites

What you should know or have before joining this program.

Basic programming experience in Python

Understanding of basic statistics

Who Is This For?

This program is designed for the following learners.

Aspiring data scientists and machine learning enthusiasts

Analysts seeking to expand into predictive modeling

Anyone curious about extracting knowledge from data

Why study near KPHB?

Why students from KPHB choose IntellentX for Data Science

FAQs — Data Science near KPHB

Common questions from students near KPHB

Data Science Course near KPHB, Hyderabad

Data Science

About

Tools & Stack

Projects

Career Outcomes

Curriculum

Prerequisites

Who Is This For?

Why study near KPHB?

FAQs — Data Science near KPHB