Data Science & AI
Professional
Want a career in data science? Skillsha's Data Science Course with Gen AI teaches you the skills companies are hiring for right now — Python, statistics, SQL, and machine learning — plus how to use AI tools like ChatGPT and Claude to work faster.
This is a complete, hands-on certification program built for beginners, graduates, and working professionals, anywhere in the world. You'll learn by doing real projects, not just watching videos, and you'll get placement support to help you find your first data science job.
Limited Time Offer: 50% Discount + Cashback + 0% Interest EMI Available Worldwide
1.5 Lakh+
Aspirants Mentored
350+
Hiring Partners
40+
Industry Mentors
Abhay
Zoho
Pankhuri
Flipkart
Lakshit
Razorpay
Laxmi
Freshworks
Gauri
Zomato
Priya
Meesho
Yogesh
Swiggy
Ahmad
Paytm
Abhishek
Cred
Riya
Nykaa
Sneha
Zepto
Manish
PhonePe
Deepika
Dream11
Alok
Tata Elxsi
Shweta
Wipro
Rahul
TCS
Kavita
Cognizant
Suresh
Capgemini
Meera
HCLTech
Vikram
Tech Mahindra
Swati
LTIMindtree
Gaurav
Hexaware
Kiran
Mphasis
Sunita
Genpact
Rajesh
Birlasoft
Anil
KPIT
Pooja
UST
Deepak
Coforge
Ritu
Virtusa
Abhay
Zoho
Pankhuri
Flipkart
Lakshit
Razorpay
Laxmi
Freshworks
Gauri
Zomato
Priya
Meesho
Yogesh
Swiggy
Ahmad
Paytm
Abhishek
Cred
Riya
Nykaa
Sneha
Zepto
Manish
PhonePe
Deepika
Dream11
Alok
Tata Elxsi
Shweta
Wipro
Rahul
TCS
Kavita
Cognizant
Suresh
Capgemini
Meera
HCLTech
Vikram
Tech Mahindra
Swati
LTIMindtree
Gaurav
Hexaware
Kiran
Mphasis
Sunita
Genpact
Rajesh
Birlasoft
Anil
KPIT
Pooja
UST
Deepak
Coforge
Ritu
Virtusa
Milestone
Ten
Duration
28 Weeks (6–7 Months)
Mode
Online
Live Sessions
45+ hrs
Projects
12+
Placement Support
Milestones
Ten
Duration
28 Weeks (6–7 Months)
Mode
Online
Live Sessions
45+ hrs
Projects
12+
Placement Support
Why Choose Skillsha?
Why Choose Skillsha's Data Science & AI Course with Gen AI?
Here is what makes Skillsha different in the crowded Data Science & AI course market.
verified_user100% Placement Support—Proven Results Globally
- check_circleGet help finding a job with data science, not just learning it
- check_circleCareer counseling and job market orientation with industry experts
- check_circleProfessional resume building and LinkedIn profile optimization
- check_circleMock interviews with active, real-world data scientists
- check_circleConnections to our global network of hiring partners
Last year, 94% of our graduates secured jobs within 60 days. That's not a promise—that's our track record.
boltGen AI Integration—Your Competitive Edge
- boltLearn ChatGPT and Claude co-piloting to write Python code faster
- boltGenerate and optimize complex SQL database queries with AI
- boltAccelerate your data analysis and wrangling tasks using LLMs
- boltMaster prompt engineering to ask the right analytical questions
- boltGain a competitive edge that modern recruiters are actively hunting for
Every recruiter is looking for professionals who understand AI. Our Data Science & AI makes you exactly that professional.
Mentorship
Expert Trainers with Global Industry Experience
Learn from active practitioners who build machine learning pipelines, design database structures, and develop predictive AI models.
Lead Instructor
Mr. Rahul
Lead Instructor- •Focuses on practical, hands-on data analysis
- •Connects concepts to real job situations
- •Expert in Python scripting and statistical structures
- •Passionate about making statistics easy to understand
“Rahul makes Python syntax and data cleaning feel natural.”
Mr. Shubham
Machine Learning & Applied AI• Teaches model training and pipelines step-by-step
“Shubham helps you move from concepts to building real models.”
Mr. Gufran
Gen AI & Prompt Engineering• Teaches responsible use of AI tools in analytical work
“Gufran shows you how to use AI to work 10x faster.”
Affordable Yet Premium Quality
local_offerRegular price: ₹40,000
local_offerSpecial discount: ₹20,000 (50% off)
local_offerAdditional cashback: ₹2,000 on one-time payment
local_offer0% Interest EMI available worldwide
local_offerNo hidden charges, transparent pricing
Get premium quality data science training at an affordable price.
Course USPs
What Makes This Data Science & AI Course Different?
Forget generic slide decks. We build job-ready data professionals with real projects, real datasets, and a verifiable portfolio.
dashboard_customize1. Real-World, Globally-Relevant Projects
- check_circleClean messy datasets to handle missing values and outliers
- check_circleBuild customer churn machine learning predictive models
- check_circleWrite SQL queries to extract data from corporate databases
- check_circleDeploy an interactive data dashboard showing analytics logs
model_performance.json
Train Accuracy97%
Test Accuracy94%
F1-Score94%
Scikit-LearnVal setF1 validated
terminal2. GitHub Portfolio for Data Professionals
- check_circlePython data analysis notebooks
- check_circleSQL query files and database schemas
- check_circleMachine learning model codebooks
- check_circleStreamlit visualization application files
train_model.py
1 def evaluate_model(y_true, y_pred):
2 f1 = f1_score(y_true, y_pred)
3 if f1 > 0.85:
4 deploy_model(weights_path)
git commit verified
workspace_premium3. Industry-Recognized Certification
- check_circleOur Data Science Course certification is designed to meet industry expectations and is recognized by companies actively hiring data professionals worldwide.
SkillSha Certified
analytics4. Real, Messy Data Experience
- check_circleWe skip textbook datasets. You will clean and analyze real, messy data files—exactly like the ones you will see on the job.
Model Training TrackerActive
Epochs50/50
Val Loss0.024
Accuracy94.2%
1
Data Science & AI Basics
help
What is data science in 2026?
Core business analytics workflows
autorenew
Data science project lifecycle
From raw data to final deployment
bolt
Understanding Generative AI roles
ChatGPT and Claude as co-pilots
terminal
Prompting foundations for analytics
Setting up custom LLM system rules
settings
Setting up development environments
Jupyter notebooks and VS Code
1
Python Programming Foundation
code
Python syntax, lists, dictionaries
Control flows and standard scripts
settings
Writing custom analytical functions
Structuring reusable logic blocks
bug_report
AI-assisted coding and debugging
Using AI to locate syntax and logic errors
folder
File handling and CSV parsing
Reading and loading local datasets
check_circle
Writing clean, PEP 8 standard code
Using linter setups with AI review
1
Mathematical Foundations
analytics
Descriptive statistics
Mean, median, mode, variance, SD
show_chart
Probability distributions
Normal, binomial, Poisson models
rule
Hypothesis testing
Z-test, T-test, ANOVA, and p-values
compare_arrows
A/B testing workflows
Measuring feature conversion impacts
functions
Linear algebra & calculus basics
Vectors, matrices, derivatives
1
Data Cleansing & EDA
table_rows
Pandas and NumPy libraries
Slicing, grouping, and matrix operations
cleaning_services
Handling messy data
Imputing null values, handling outliers
pie_chart
Data visualization basics
Plotting with Matplotlib & Seaborn
find_in_page
Exploratory Data Analysis (EDA)
Spotting correlations and patterns
article
Storytelling with datasets
Formatting insights for business teams
1
Predictive Model Workflows
balance
Supervised vs Unsupervised learning
Scikit-Learn algorithms toolkit
trending_up
Regression systems
Linear and polynomial regression models
split_screen
Classification algorithms
Logistic regression, decision trees, random forests
check_circle
Model evaluation metrics
Accuracy, precision, recall, F1-score
groups
Clustering algorithms
K-means and hierarchical groupings
1
Neural Network Architectures
layers
Intro to deep learning structures
Perceptrons and layers
show_chart
Activation & loss functions
ReLU, Sigmoid, Cross-Entropy
sync
Training neural networks
Backpropagation and optimization
image
Convolutional Neural Networks (CNNs)
Intro to computer vision
timeline
Recurrent Neural Networks (RNNs)
Intro to sequential data sequences
1
LLM Orchestration & Prompting
psychology
How LLMs actually work
Transformers, weights, tokens
settings
System instructions & role prompts
Configuring custom AI outputs
link
Few-shot and chain-of-thought
Tuning AI reasoning behaviors
table_chart
Structured data returns (JSON/Markdown)
Getting reliable outputs
warning
Mitigating AI biases & hallucination
Factual boundary checks
1
Semantic Search & Agents
find_in_page
Retrieval-Augmented Generation (RAG)
Grounding LLMs with custom data
pin
Vector embedding models
Converting text chunks to coordinates
database
Pinecone and ChromaDB systems
High-performance vector indices
smart_toy
AI agent architectures
Autonomous planning, tools, and loops
groups
Multi-agent systems basics
Collaborating models for complex goals
1
Analytics Apps & MLOps
dashboard
Building dashboards with Streamlit
Fast frontend interfaces for Python
api
API wrapping with FastAPI
Exposing prediction models as endpoints
history
MLOps lifecycle basics
Versioning data models and pipelines
cloud
Deploying data apps to cloud
Hosting on Vercel and AWS
speed
Monitoring runtime latency
Tracking token expenses and API errors
1
Real-World System Execution
table_rows
Comprehensive dataset analytics
Cleaning, EDA and visualization
tune
Machine learning model tuning
Building regression and classification pipelines
bolt
AI-assisted agent workflows integration
Adding semantic vector search tools
dashboard
Interactive Streamlit web release
Deploying a live analytical dashboard
article
Capstone presentation & reporting
Documenting findings for stakeholders
0%
Syllabus Progress
Not Started
Program Highlights
28 Weeks (6–7 Months) Duration
Intense live lectures + practical builder labs.
12+ Production-Grade Projects
Deploy autonomous multi-agent software at scale.
1:1 Mentorship Reviews
Direct feedback from leading industry AI experts.
100% Placement Support
Mock interviews, resume profiling, & direct hiring access.
Toolkit & Skills
Skills & Platforms You will Master
Master the complete Data Science, Machine Learning & Gen AI ecosystem through practical tools, technologies, and real-world workflows. Instead of learning tools as a static list, you'll learn how to use them together across the complete data science lifecycle — from data collection and analysis to machine learning, visualization, and AI-powered solutions.
Core Data Science & AI Syllabus Matrix
Topics & Targets you will achieve:
check_circlePython — Programming fundamentals, functions, OOP, data structures & automation
check_circleNumPy — Numerical computing, arrays, mathematical operations & data processing
check_circlePandas — Data cleaning, transformation, manipulation & analysis
check_circleJupyter Notebook — Interactive data analysis, experimentation & documentation
check_circleSQL — Database querying, joins, subqueries, CTEs, window functions & analytics
Real-World Portfolio
Portfolio Projects
Portfolio-Ready Projects You'll Build Inside the Bootcamp
Milestone 1
Project AURA
Automated Data Cleansing Pipeline
Build a Python-based automated dataset parser to clean messy CSV files, impute missing values, handle outliers, and generate automated EDA profiling reports.
Milestone 2
Project ECHO
Predictive Analytics Engine
Build a customer churn predictive model using machine learning models, deploying it via API.
Milestone 3
Project NEXUS
Visual Dashboard App
Build an interactive visual analytics dashboard using Streamlit to visualize live data trends.
Milestone 4
Project SPARK
Predictive Analytics Dashboard
Develop an interactive visual dashboard using Streamlit to visualize business performance metrics and time-series sales forecasts.
Placement Support
100% Placement Support—How Skillsha Helps You Land Jobs
timelineDuring Your Course
- Week 4: Career path alignment and portfolio audit
- Week 8: GitHub analytic portfolio verification
- Week 12: Machine learning code audit with mentor
- Week 16: Tech resume polish and mock rounds
- Week 20: Technical coding case study simulations
workAfter You Complete
- •Your profile added to our global job portal
- •2-3 job matches sent weekly based on your preferences
- •Direct referral to 20-30 companies matched to your skills
- •Weekly job discussion sessions
- •Updated interview question bank
- •Ongoing career guidance and support
handshakeOur Hiring Network
We are connected with:
- •Fast-growing startups seeking data talent
- •Global tech companies expanding data teams
- •Analytics and consulting firms with permanent roles
- •E-commerce companies scaling data operations
- •SaaS companies in growth mode
- •Companies with dedicated data and AI divisions
SKILLSHALEARN
Credential Verification
Certificate
of completion
This is to certifyJane Doe
has successfully completed28 Weeks (6–7 Months) of
Data Science & AI
Demonstrating practical proficiency across projects, labs, and campaign builds.
Verified
on 22 Mar 2026
Aris ThornePresident, SkillSha
Be in the spotlight by getting certified!
Prove your skills, boost credibility, and get one step closer to your dream role.
Industry-Recognized Certificate
A badge trusted by top companies.
Stand Out in the Job Market
Turn your profile into a recruiter magnet.
Your Passport to Career Growth
Step into better roles and higher salaries.
Interactive Career Hub
Earning Potential & Career Projections
Explore specialized digital roles and calculate dynamic packages scaling across India's tier-1 and tier-2 tech hubs.
Select Sector Track
Immediate PlacementPROJECTION CORE v1.8
Data Analyst
Cleans, analyzes, and reports on data using Python and SQL to help business teams make data-driven decisions.
Key Scope Areas
Perform SQL data aggregation & joins
Wrangle and clean messy CSV/Excel datasets
Build interactive charts with Seaborn/Matplotlib
Translate analytical data into visual reports
LOCATION CALIBRATION
Estimated Package₹6.3L - ₹9.5LPer Annum • Delhi Index
ENTRY PACKAGESSENIOR & LEAD OUTCOMES
SELECT CALIBRATION CITY
Immediate Placement
Data Analyst
Cleans, analyzes, and reports on data using Python and SQL to help business teams make data-driven decisions.
Perform SQL data aggregation & joins
Wrangle and clean messy CSV/Excel datasets
Salary Range₹6.3L - ₹9.5L
Per AnnumHigh Demand
Junior Data Scientist
Builds, tests, and evaluates early-stage predictive and machine learning models under the guidance of senior leads.
Wrangle features and preprocess datasets
Implement classification and regression algorithms
Salary Range₹8.4L - ₹12.6L
Per AnnumPremium Role
Data Scientist
Owns the end-to-end data pipeline, from database extraction and statistical analysis to training and deploying production ML models.
Design complex database schemas and model inputs
Build predictive machine learning systems
Salary Range₹12.6L - ₹18.9L
Per AnnumImmediate Placement
Machine Learning Associate
Supports the development, fine-tuning, and deployment of machine learning and neural network models.
Format datasets for ML model ingestion
Conduct parameter efficiency tuning (PEFT/LoRA)
Salary Range₹9.5L - ₹13.7L
Per AnnumHigh Demand
Business Intelligence Analyst
Turns complex data streams into interactive business dashboards, dashboards, and automated reports for company leadership.
Establish corporate KPI reporting structures
Design interactive visual apps with Streamlit
Salary Range₹7.4L - ₹10.5L
Per AnnumImmediate Placement
Data Analytics Specialist
Performs deep-dive analysis on organizational databases and transactional datasets to identify operational bottlenecks and growth opportunities.
Analyze customer cohorts and churn parameters
Run hypothesis testing and statistical models
Salary Range₹8.4L - ₹12.6L
Per AnnumCareer Growth Timeline
Progression Loop #1
Year 1: Deliver clean Python pandas code, SQL schemas, and dashboards
Progression Loop #2
Year 2-3: Senior analyst designing predictive risk models
Progression Loop #3
Year 5+: Lead Scientist directing enterprise analytics teams
Salary Drivers & Benchmarks
- 1Starting package: ₹12L+ per annum average
- 2After 1 year: 20-30% increase typical
- 3After 3 years: 2-3x your starting salary
Market Sentiment Index
These roles exist across almost every industry — tech, finance, healthcare, retail, and more — because most companies today collect more data than they know what to do with. That's exactly the gap this course prepares you to fill.
Alumni Success
Success Stories—Data Science & AI Course Graduates Worldwide
Wil M. (United States)
Before: Non-technical BackgroundAfter: Data Analyst, $70k/year
“Wil came to the course looking for a structured way into data analytics after working in an unrelated field. The step-by-step curriculum, especially the statistics and Python modules, gave him a foundation he could build on.”
Result: Successfully switched careers to data analytics
Rohit K. (India)
Before: Recent College GraduateAfter: Junior Data Scientist, ₹12L/year
“Rohit was a recent graduate unsure how to break into data science without prior work experience. Building a portfolio of real projects — not just certificates — made the biggest difference when he started applying for roles.”
Result: Landed junior data scientist job
Isha T. (Germany)
Before: Sales Operations AssistantAfter: BI Analyst, €50k/year
“Isha switched careers into data science after several years in a different industry. She found the machine learning and Gen AI modules especially useful, since they matched what employers in her target roles were actually asking about.”
Result: Transitioned to business intelligence
Rahool P. (Southeast Asia)
Before: Operations LeadAfter: Data Scientist, $65k/year equivalent
“Rahool already worked with data informally in his job but wanted formal training to move into a dedicated data role. The SQL and machine learning modules helped him formalize skills he'd been using loosely.”
Result: Promoted to full data scientist
Global Placement Statistics from Our Data Science & AI Course
94%Placement RateWithin 60 days of completion
$2.5k-$4kStarting SalaryAverage monthly range globally
+50%Salary GrowthCommon package increase
98%Graduate SatisfactionWould recommend the course
Investment
Data Science & AI Course Pricing—Flexible Payment Options
Transparent, Affordable Pricing
Regular course fee₹40,000
50% special discount₹20,000
Bonus cashback₹2,000
Your final investment₹18,000
Currency Reference (approximate): ₹13,000 ≈ $156 USD ≈ €145 EUR. Payment accepted in multiple currencies.
Installment Plans (0% Interest)
- •3-month plan: ₹6,667/month (₹20,000 total)
- •6-month plan: ₹3,334/month (₹20,000 total)
- •No cost EMI available globally
- •No hidden fees, transparent pricing
Corporate Discounts
- •Referral discount: 10% off for group registrations
- •Corporate upskilling packages available
- •Team rates on request
What's Included
Frequently Asked Questions
Everything you need to know about the Data Science & AI track.
No. This course is built for complete beginners and starts from the absolute fundamentals. If you've never coded or worked with data before, you can still follow along — the curriculum builds up gradually, one skill at a time.
Most students spend around 5–6 hours a week on live classes and practice, though this can vary. Self-paced learners can spread this out however fits their schedule. Consistency matters more than doing everything in one long session.
Yes. The skills you learn — Python, statistics, SQL, and machine learning — are used by data teams worldwide. That said, visa and work-permit rules depend entirely on each country's own policies, which we can't control.
No — AI is a tool, not a replacement for your judgment. This course teaches you to use Gen AI to work faster and smarter, but you still need to understand statistics and data science fundamentals to know whether the AI's output actually makes sense.
That's completely normal. This course gives you a strong, broad foundation across data science. Many graduates later go deeper into one area — like machine learning or NLP — once they know where their interest lies.
Yes. Skillsha's certificate is recognized by companies hiring data professionals globally. More importantly, your portfolio of real projects speaks louder than any certificate — employers care about what you can do.
We offer a 7-day money-back guarantee if you're unsatisfied after your first week. After 7 days, we offer course-pause options rather than a refund, since the content has value regardless of completion.
Yes. You get lifetime access to course materials and future updates. As data science and AI tools evolve, we update the content, and you benefit from those updates for free.
Yes. Many graduates use their portfolio and skills to take on freelance data analysis or consulting work, either alongside a job or as a full path of their own.
Free tutorials are scattered and often outdated, with no one to check your work or answer your questions. This course gives you a structured path, real projects, mentor feedback, and placement support — all in one place.
Yes. Many students work full-time or part-time while studying, especially with the self-paced option. Recorded sessions mean you won't fall behind if work gets busy some weeks.
Average time from course completion to job offer is around 30–45 days. We start placement support activities — resume help, mock interviews — during the course itself, so you're interview-ready on day one after completing the Data Science Course.
Alumni Network
SkillSha Alumni Work at the Best Companies
SkillSha graduates placed across 500+ companies worldwide.
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Companies
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Avg. Package
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Placement Rate