Learn with real data, powered by AI tools
No toy datasets or hypothetical problems. You'll tackle real business challenges using current AI frameworks, just like working data scientists do every day.
Want to ride the wave of rising global demand for data scientists? Our 100% online data science bootcamp gives you everything you need: live interactive classes, hands-on capstone projects, and real job placement support. Master Python, SQL, Machine Learning, and AI, all while building a portfolio that makes hiring managers sit up and take notice
Perfect for First-Time Learners
100% Online
4-Month Accelerated Path to Data Scientist Roles
Personalized 1:1 Mentorship
+ Dedicated Career Coaching
Industry-Experienced Trainers
Job Guarantee
Flexible Weekend & Evening Batches
Why Choose Skillify's Data Science Bootcamp with AI?
Let's cut through the noise. This isn't another cookie-cutter online course where you watch videos and forget everything by next week. This is a hands-on, mentor-guided part-time data science bootcamp where you roll up your sleeves and do the actual work: clean messy data, build predictive models, extract insights that matter, all while learning how AI tools can supercharge your workflow.
By the time you're done, you won't just have a certificate gathering digital dust. You'll have job-ready skills, real projects in your portfolio, and the confidence to walk into any interview knowing you can deliver.
No toy datasets or hypothetical problems. You'll tackle real business challenges using current AI frameworks, just like working data scientists do every day.
Your mentor isn't just there to mark assignments. They'll guide you through roadblocks, review your code, answer your 2 AM doubts, and genuinely want to see you succeed.
From rewriting your resume to sound impressive to prepping you for technical interviews to connecting you with hiring partners, we're with you until you land that role.
Python, SQL, Tableau, Power BI, Scikit-learn, XGBoost; these aren't buzzwords, they're the daily toolkit of data professionals at top companies.
Live classes scheduled for evenings and weekends, plus full recordings if life gets in the way. Learn part-time without putting your current job or commitments on hold.
Employers don't care about grades. They care about what you can build. Your capstone projects become the proof that you're ready to contribute from day one.
The world is drowning in data, and companies are desperate for people who can make sense of it all. Data science roles are projected to grow by 35% through 2030, one of the fastest-growing career paths globally. In global markets, salaries start at $80,000 and can exceed $150,000 for senior roles.
But here's what makes data science truly exciting: you're not just crunching numbers. You're predicting customer behavior before it happens. You're building recommendation systems that drive millions in revenue. You're creating AI models that solve problems humans can't tackle alone. You become the person who spots patterns others miss and turns raw data into a strategic advantage.
And with AI revolutionizing the field, data scientists who understand both traditional analytics AND generative AI are becoming the most sought-after professionals in tech. This isn't just a job, it's a career with genuine impact and unlimited growth potential.
Know your value in the job market
Completing Skillify's data science certification course with AI opens doors to some of the most exciting, high-paying, and future-proof careers in tech. Here's where our graduates typically go:
Data Analyst: Start by extracting insights from data, building dashboards, and supporting business decisions. You'll use SQL, Python, and visualization tools daily. Perfect foundation before specializing.
Junior Data Scientist: Build predictive models, run experiments, and solve business problems with machine learning. You'll work under senior scientists while gaining production experience.
Machine Learning Engineer (Junior): Focus on deploying and maintaining ML models in production. You'll bridge the gap between data science and engineering, ensuring models actually deliver value.
Business Intelligence Analyst: Create reporting systems, design dashboards, and help stakeholders understand their data. Heavy emphasis on SQL, Tableau, and Power BI.
Data Scientist: Owns the entire analytics problem end-to-end. You'll design experiments, build sophisticated models, and communicate insights that drive million-dollar decisions.
Machine Learning Engineer: Build, deploy, and scale ML systems that handle real user traffic. You'll work with MLOps tools, cloud platforms, and production monitoring systems.
AI Engineer: Specializing in implementing generative AI solutions, building RAG systems, fine-tuning LLMs, and integrating AI into products. This is where your AI bootcamp training really pays off.
Analytics Manager: Lead a small team of analysts, set analytics strategy, and influence product direction with data insights. Your technical foundation makes you a better manager.
Senior Data Scientist / ML Engineer: Lead high-impact projects, mentor junior team members, and shape technical direction. Your decisions directly influence product success and company strategy.
AI/ML Architect: Design entire machine learning systems and pipelines. You'll make technology choices that affect entire organizations and guide implementation across teams.
Data Science Manager / Director: Build and lead data science teams. Set vision, hire talent, allocate resources, and ensure data science delivers measurable business value.
Chief Data Officer / VP of Data Science: Shape organizational data strategy at the executive level. This is where technical expertise meets business leadership.
Skillify Solutions equips learners with transferable skills applicable across all sectors.
Hiring partners across India & global hubs
Based on post-bootcamp outcome surveys
1:1 coaching, interview prep & referrals
Data Science: Start by extracting insights from data, building dashboards, and supporting business decisions. You'll use SQL, Python, and visualization tools daily. Perfect foundation before specializing.
Junior Data Scientist: Build predictive models, run experiments, and solve business problems with machine learning. You'll work under senior scientists while gaining production experience.
Machine Learning Engineer (Junior): Focus on deploying and maintaining ML models in production. You'll bridge the gap between data science and engineering, ensuring models actually deliver value.
Business Intelligence Analyst: Create reporting systems, design dashboards, and help stakeholders understand their data. Heavy emphasis on SQL, Tableau, and Power BI.
Global: $110,000–$130,000
Data Scientist: Own the entire analytics problem end-to-end. You'll design experiments, build sophisticated models, and communicate insights that drive million-dollar decisions.
Machine Learning Engineer: Build, deploy, and scale ML systems that handle real user traffic. You'll work with MLOps tools, cloud platforms, and production monitoring systems.
AI Engineer: Specialize in implementing generative AI solutions, building RAG systems, fine-tuning LLMs, and integrating AI into products. This is where your AI bootcamp training really pays off.
Analytics Manager: Lead a small team of analysts, set analytics strategy, and influence product direction with data insights. Your technical foundation makes you a better manager.
Global: $130,000–$155,000
Senior Data Scientist / ML Engineer: Lead high-impact projects, mentor junior team members, and shape technical direction. Your decisions directly influence product success and company strategy.
AI/ML Architect: Design entire machine learning systems and pipelines. You'll make technology choices that affect entire organizations and guide implementation across teams.
Data Science Manager / Director: Build and lead data science teams. Set vision, hire talent, allocate resources, and ensure data science delivers measurable business value.
Chief Data Officer / VP of Data Science: Shape organizational data strategy at the executive level. This is where technical expertise meets business leadership.
Global: $155,000–$185,000+
Learners from Skillify's Data Science bootcamp have secured roles across Fortune 500 companies, multinational enterprises, AI-first startups, consulting firms, and product companies across the world.
Our graduates work at: Google, Microsoft, Deloitte, EY, Amazon, Accenture, Infosys, TCS, Wipro, Flipkart, Wells Fargo, and others.
Curriculum
The curriculum is designed to build competency progressively over the duration of four months. Each module reinforces the previous one and ensures practical application of every concept. Total: 110 Hours | 4 Months | Live Sessions | Weekend and Evening Batches
REAL-WORLD PROJECTS
The bootcamp revolves around practical application. Every learner builds a portfolio of industry-relevant ML systems that reflect real hiring expectations.
Car Price Prediction: Build a machine learning model that predicts resale pricing and key performance factors influencing car markets.
Telecom Churn Prediction: Predict customer churn patterns and build actionable recommendations to support retention strategies.
Demand Forecasting: Optional project for advanced learners
Customer Classification: Build classification models for business insights
Sentiment Analysis: NLP project for text analysis
DATA SCIENCE BOOTCAMP INSTRUCTORS
Learn from practicing data leaders who mentor you throughout the program.
Liam is a data and analytics leader with 18+ years of experience covering data engineering, machine learning, and large-scale analytics delivery…
Emily is an AI solutions architect who helps modern data teams productionize trustworthy machine learning systems and analytics workflows.
.png)
Samantha is a lead data scientist with 10+ years of experience in generative AI, NLP, deep learning, computer vision, and data visualization…
We're so confident in our programs that we guarantee you'll land a job within six months of graduation—or your tuition is refunded in full.
Complete the curriculum, assignments, capstone projects and milestone checkpoints
Work with the placement team through ongoing applications and mock interviews
Secure a qualifying job offer within six months of graduation or receive a tuition refund
Throughout the bootcamp, every learner is supported by a dedicated mentor and the Skillify Career Services team.
Terms and eligibility guidelines apply. A job guarantee is available for eligible students who complete the program requirements.
Explore our schedules
Choose from our flexible training schedules designed to fit your busy lifestyle.
For custom schedule connect with us
Morning
Skillify Solutions Expert
Data Science Trainer
AfternoonSkillify Solutions Expert
Data Science Trainer
MorningSkillify Solutions Expert
Data Science Trainer
EMI starting at $833.00/month only
Data Analytics Bootcamp Cost: $10,000.00
Pay in Full: One-time discounted fee
Monthly Installments: Zero-interest EMIs with no hidden charges
Scholarships: Limited merit-based and need-based scholarships for eligible candidates
The fee covers live sessions, mentorship, project reviews, certification and full placement support.
Easy payment plans with trusted partners
Secure your spot with flexible EMI plans starting at just $3,500/month. You can also speak with your Program Advisor during your 1:1 call to set up a plan that works for you.
Payment partners
Stripe
-Logo.wine.png){kind=logo}
Zelle
Limited-time offer
Apply now to secure your spot and see if you qualify for our scholarship program.
Application deadline
Application deadline: [Date]
Ready to take the next step? Speak with an admissions advisor to learn more about the program and scholarship opportunities.
Skillify's Data Science Bootcamp with AI is a comprehensive, hands-on program that takes you from complete beginner to job-ready data scientist in 4 months. You'll master Python, SQL, machine learning, and AI through live classes, real projects, and personal mentorship, graduating with the practical skills and portfolio companies actually want.
Anyone interested in data science. Fresh graduates exploring career options, working professionals switching from non-tech roles, analysts wanting to add ML and AI skills, or anyone curious about turning data into insights. No prior coding or math background required, we start from absolute basics.
Not at all. While previous coding experience and math knowledge help, they're absolutely not required. Our bootcamp starts with Python basics and fundamental statistics, building your skills gradually. Many of our most successful graduates had never written code before joining Skillify.
You'll gain hands-on experience with Python (NumPy, Pandas, Matplotlib, Seaborn), SQL for data querying, Tableau and Power BI for visualization, machine learning frameworks (Scikit-learn, XGBoost), and generative AI tools (LangChain, LLMs). These are the exact tools data scientists use daily at leading companies worldwide.
The bootcamp runs for 110 hours over 4 months. Classes meet 3 times per week, with each session lasting 2 hours. We offer flexible evening and weekend batches specifically designed for working professionals. All sessions are recorded, so you can catch up if you miss a class.
You'll master Python for data analysis and machine learning, SQL for database querying and management, Tableau and Power BI for data visualization, and machine learning libraries including Scikit-learn, XGBoost, NumPy, Pandas, Matplotlib, and Seaborn. Plus fundamentals of generative AI and LangChain for modern AI workflows.
You'll build two major capstone projects: Car Price Prediction (building an AI model to predict vehicle prices using regression techniques) and Telecom Churn Prediction (creating a classification model to identify at-risk customers). These aren't toy problems; they're portfolio-worthy projects that demonstrate real business problem-solving skills to potential employers.
"Skillify made the learning journey structured and outcome-oriented. I had no programming experience when I started, but the hands-on ML projects and mentorship helped me transition smoothly into a Data Scientist role."
"The career support was real and measurable. The mock interviews, portfolio reviews, and placement team played a significant role in helping me secure multiple interview calls within weeks."
