Qtree Technologies
Job Assured Data science with Gen AI Training
Master Data Analytics with Excel, Power BI, Python & SQL through Real-Time Projects and Placement Support
Certifications
Job Oriented Syllabus
Real Time Projects & Hands-On Labs
100% Assured Interview Guarantee
Resume + Interview Preparation
Why Data Science
in 2026
The Data Science with Gen AI Program is a comprehensive, career-focused course designed to build strong analytical, programming, and machine learning expertise. It covers Python, statistics, data visualization, machine learning, NLP, big data tools, and Generative AI concepts with hands-on implementation and real-world projects. The program equips learners with practical skills in model building, data-driven decision making, and AI applications, preparing them for industry-ready Data Scientist and AI Engineer roles.
Class Formats
Classroom
In-person sessions conducted at our training center.
Online
Instructor-led virtual classes in real time.
Self Paced
Learn anytime with recorded video sessions.
One to One
Learn anytime with recorded video sessions.
Register for Data Science Program
Syllabus
- Data Science
- Role of Data Scientists
- Real-World Examples of Data Science
- Python for Data Science
- Introduction to Data Visualization
- Processes in Data Science
- Data Wrangling
- Data Exploration
- Model Selection
- Exploratory Data Analysis (EDA)
- Plotting Techniques
- Hypothesis Building and Testing
- Introduction to Statistics
- Statistical and Non-Statistical Analysis
- Common Statistical Terminology
- Data Distribution
- Central Tendency
- Percentiles
- Dispersion
- Histogram
- Bell Curve
- Hypothesis Testing
- Chi-Square Test
- Correlation Matrix
- Inferential Statistics
- Introduction to Anaconda
- Installation of Anaconda (Windows, Mac, Linux)
- Jupyter Notebook Installation
- Jupyter Notebook Introduction
- Variable Assignment
- Basic Data Types (Integer, Float, String, None, Boolean)
- Typecasting
- Tuples
- Lists
- Dictionaries
- Sets
- Basic Operators (in, +, *)
- Functions
- Control Flow
- NumPy Overview
- ndarray Properties and Types
- Array Operations
- Indexing and Slicing
- Boolean Indexing
- Copy and Views
- Universal Functions (ufunc)
- Shape Manipulation
- Broadcasting
- Linear Algebra
- SciPy Overview
- Integration
- Optimization
- Linear Algebra
- Statistics
- Weave
- I/O Operations
- Introduction to Pandas
- Series
- DataFrame
- Handling Missing Values
- Data Operations
- Data Standardization
- File Read and Write
- SQL Operations with Pandas
- Introduction to Machine Learning
- Supervised Learning
- Unsupervised Learning
- Linear Regression
- Logistic Regression
- K-Nearest Neighbors (KNN)
- Clustering
- Dimensionality Reduction
- Pipeline
- Model Persistence
- Model Evaluation Metrics
- NLP Overview
- Text Data Processing
- NLP Libraries
- Scikit-Learn NLP Modules
- Feature Extraction
- Bag of Words
- Grid Search
- Model Training
- Pipeline in NLP
- Introduction to Visualization
- Matplotlib Features
- Line Plots
- Axis, Labels and Legends
- Annotations
- Multiple Plots
- Subplots
- Seaborn Visualization
- Types of Plots
- Web Scraping Concepts
- Common Web Data Formats
- Parser
- DOM Tree Structure
- Searching and Navigating the Tree
- Modifying the Tree
- Partial Document Parsing
- Printing and Formatting
- Encoding
- Need for Python with Hadoop
- Hadoop Architecture
- MapReduce
- Cloudera QuickStart Setup
- Apache Spark
- Resilient Distributed Datasets (RDD)
- PySpark
- Spark Tools
- PySpark with Jupyter Notebook
- Introduction to Generative AI
- Foundation Models
- Transformer Architecture
- Mechanisms of Transformers
- Prompting Techniques
- Types of Prompting
- Advanced Prompt Strategies
- Prompt Optimization and Debugging
- Ethical Considerations
- Deploying Generative AI Models
- Text Generation & AI Writing Assistants
- Image Generation with Diffusion Models
- Multimodal AI Applications
- AI in Code Generation & Productivity Tools
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Join WhatsApp CommunityWhat You Will Build During the Course
Retail & E-Commerce Analytics Platform – Customer Segmentation, Sales Forecasting & Recommendation Engine
Healthcare Data Intelligence System – Disease Prediction, Patient Risk Analysis & AI-Based Insights
Banking & Finance Analytics Suite – Credit Risk Modeling, Fraud Detection & Predictive Financial Analysis
Transport & Logistics Optimization System – Route Optimization, Demand Forecasting & Fleet Analytics
Environment & Smart City Analytics – Pollution Monitoring, Energy Consumption Prediction & Sustainability Insights
AI-Powered Generative Analytics Platform – Automated Insights, Report Generation & Smart Decision Support System
Program Benefits
100% Job Assistance until you are placed.
Hands-on project training with project building (3 to 5 projects).
Dedicated individual placement communication (no WhatsApp group notifications).
Corporate curriculum updated every year based on previous hiring trends.
Interview preparation (Aptitude, Communication, and Online Assessments).
Multiple mock interview rounds (based on current and previous experience).
ATS-friendly CV optimization (Naukri and LinkedIn).
Profile boosting strategies for job-search platforms.
Free LMS access for one year (CV preparation and self-assessments).
Registered and authorized course completion certificate with ISO standards and government recognition, available for lifetime verification.
Voices of Our Learners
Hiring Companies
FAQ for Data Science with Gen AI Program
Anybody with a zeal for Data Analytics can enroll at Qtree, even fresh graduates, working employees, and even people looking to shift their career. There is no prerequisite experience necessary to enroll, but knowledge of basic Excel and statistics would be beneficial.
After completing the course you are able to be employed with the following titles Data Analyst, Business Analyst, BI Developer, Data Scientist - Associate, or Market Analyst. The rise in industries such as IT, finance, healthcare and e-commerce will always need these experts.
Yes! We provide 100% placement assistance, including resume building, practice interviews, job recommendations, and corporate partnerships, to help students find jobs with top organisations.
We provide flexible batch times for both online and offline classes. With live instructor-led courses, real-time project, practical tasks.
Explore the Program in Detail
Get complete information about the course and career opportunities.
