Data Science with Generative Ai Course Hyderabad | Online 
                     DATA 
SCIENCE 
WITH GENAI:
SKILLS, TOOLS & FUTURE 
www.visualpath.in
INSIGHTS
Slides of 
Content
1
2 What is Data Science?
3 Introduction to Generative AI
4 How GenAI Enhances Data Science
5 Key Tools in Data Science & GenAI
6 Use Cases in Real Life
7 Top Skills You Need to Learn
8 Top Companies Hiring in 2025
9 Career Roadmap for Students
10 Ethics and Future of AI in Data 
Science
How to Start Your Learning Journey
Introduction
In today's data-driven world, Data Science is a top 
career choice, combining coding, analytics, and problem-
solving. With the rise of Generative AI (GenAI), the way 
we handle, analyze, and use data has changed 
dramatically. This presentation explores how GenAI 
supercharges data science and why it matters for your 
future.
www.visualpath.in
What is Data Science?
Data Science is the process of collecting, cleaning, analysing, and interpreting 
data to make better decisions. It combines mathematics, statistics, 
programming, and business knowledge to solve real-world problems.
Introduction to 
Generative AI
Generative AI is a branch of AI that can 
generate new data, such as text, 
images, music, and even code. Tools 
like ChatGPT and DALL·E are examples 
of GenAI models that learn from large 
datasets to produce creative and 
human-like output. www.visualpath.i
www.reallygreatsite.com n
How GenAI Enhances Data 
SGecnAiIe anccceleerates data science workflows by:
• Automating data cleaning and transformation
• Assisting in feature engineering
• Generating code or SQL queries
• Creating data visualisations
• Summarising complex reports or trends
•  This speeds up research and decision-making.
Key Tools in Data Science & 
Python, R – ProgrammGineg lnangAuaIges
Pandas, NumPy – Data 
handling
Scikit-learn, TensorFlow – Machine learning
Power BI, Tableau – Visualization
ChatGPT, Copilot, Bard – AI assistance tools
Azure ML, Vertex AI – Cloud-based AI 
platforms
Use Cases in Real 
Life
01 Healthcare: Predict diseases using patient data
02 Finance: Detect fraud with anomaly detection
03 Retail: Forecast demand and recommend products
04 Education: Personalised learning with AI 
tutors
05 Marketing: Customer segmentation using clustering
Top Skills You 
Need to Learn
• Python & SQL
• Data wrangling and visualisation
• Machine Learning (ML) 
fundamentals
• Model evaluation techniques
• Prompt engineering & GenAI tools
• Communication and storytelling with 
data
www.visualpath.in
Top Companies 
Hiring in 2025
• Google, Microsoft, Amazon
• TCS, Infosys, Wipro
• Accenture, Cognizant, IBM
• NVIDIA, OpenAI, Meta
• They look for candidates with data 
science + AI exposure. www.visualpath.in
Career Roadmap for Students
1.Learn Python & basic math/statistics
2.Study core data science libraries
3.Practice GenAI tools for code and ideas
4.Build projects and host them on GitHub
5.Contribute to open-source or Kaggle competitions
6.Earn certifications (Google, Azure, etc.) Mr. Vivek
7.Apply for internships and entry-level roles
Ethics and Future 
of AI in Data 
S• Ecnsuiree fnairnceses and bias-free models
• Protect user privacy and data rights
• Use AI for positive impact, not harm
• The future includes explainable AI, AI 
www.visualpath.in
regulation, and more AI + human collaboration
Thank You
Online & Corporate Training Industry 
Experts!
+91 7032290546
www.visualpath.in
FREE LIVE 
DEMO