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Complete Data Science Bootcamp

  • Mode: Live Classes
  • |
  • Live Projects: 10+
  • |
  • Duration: 1 Year

Data Science Certification program

No Prerequisites | Real-time projects

Learn the complete Data Science and Ai stack from basics to advance. Build real time skills and know how they are applied in practical environments.

Knowledge in Data science will assist you to drive efficient business processes and build vital solutions used for solving real industry problems.

  • 200+

    Hours of Live Sessions

  • 12

    Hours daily doubt solving

  • Sat & Sun

    3PM to 5PM IST

  • Live sessions from expert mentors
  • 1 on 1 live doubt solving
  • Complete Ai stack | Machine learning, Deep learning, Computer vision & NLP
  • Learn 6+ technologies to get job ready
  • Build real world Ai solutions via practical projects
  • Become a certified Data Scientist
  • Master Statistics and data analysis

Course benefits

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Course Comparison

Course Features

iSkills Premium iSkills GoldOther Coachings
Placement Assistance CAT 2025CAT 2025CAT 2025
Community Doubt SupportCAT 2025CAT 2025CAT 2025
Complete Live Classes CAT 2025CAT 2025CAT 2025
AssignmentsCAT 2025CAT 2025CAT 2025
12 Hours Daily Live Doubt Support CAT 2025CAT 2025
Live Projects (portfolio building)CAT 2025CAT 2025
Job ReferralsCAT 2025CAT 2025
ISO Recognised Certificate CAT 2025CAT 2025
Lifetime access CAT 2025
Personalised Resume Support CAT 2025
Personalised Mock Interviews CAT 2025
Complimentary Batch upgrade CAT 2025
Lifetime course access CAT 2025
Job Guarantee CAT 2025

Course features

Live sessions

200+ hours of interactive live and recorded sessions from basics to advance

Domain specific live projects

Choose projects from Industry relevant domain

1 to 1 doubt solving

12 hours daily 1 to 1 live support with experts

2 Year dashboard access

Premium access to all the content for 2 years at your fingertips

Placement assistance

Get resume support & Mock interview preparation to showcase the skills you have earned

Career support

No need to hunt for jobs, focus on building you skills while we do the rest

Skills to gain

Ace these industry skills to become job ready

Python

Numpy

Pandas

Computer vision

Machine learning

Plotly

Deep learning

Statistics

NLP

SQL

AWS

Python

Numpy

Pandas

Computer vision

Machine learning

Plotly

Deep learning

Statistics

NLP

SQL

AWS

Join our free coding community and start learning today!

Join our Data Science community for exclusive masterclasses, free study materials, and networking with experts. Plus, get access to job openings in AI, machine learning, and data science.

Data Science

Learn from industry experts who have a proven track record of success

Our mentors have mastered the path to success, so you can skip the guesswork and focus on achieving your goals.

  • Ajay Kumar Gupta

    11+ years Exp | Data Science Expert

Explore your Roadmap to Success

Learn Python programming along with data manipulation and visualization libraries along with SQL and no SQL

Ace Statistics & machine learning along with deep learning basics

Advance in deep learning, computer vision

Leverage and learn NLP (Gen Ai)

Work on building real time projects in ML, DL, CV & NLP

Get job ready with Placement Assistance | Mock interviews | Resume Support

Industry Oriented Curriculum

  • Course Introduction
  • Course Overview And Dashboard Description
  • Introduction Of Data Industry
  • Introduction Of Python And Comparison With Other Programming Language
  • Python Objects, Number & Booleans, Strings.
  • Container Objects, Mutability Of Objects
  • Operators - Arithmetic, Bitwise, Comparison And Assignment Operators, Operator's Precedence And Associativity
  • Conditions (If Else, If-Elif-Else), Loops (While, For)
  • Break And Continue Statement And Range Function
  • Basic Data Structure In Python
  • String Object Basics
  • String Inbuilt Methods
  • Splitting And Joining Strings
  • String Format Functions
  • List Methods
  • List As Stack And Queues
  • List Comprehensions
  • Tuples, Sets & Dictionary Object Methods
  • Dictionary Comprehensions
  • Dictionary View Objects
  • Functions Basics, Parameter Passing, Iterators.
  • Generator Functions
  • Lambda Functions
  • Map, Reduce, Filter Functions.
  • Oops Basic Concepts.
  • Creating Classes
  • Pillars Of Oops
  • Inheritance
  • Polymorphism
  • Encapsulation
  • Abstraction
  • Decorator
  • Class Methods And Static Methods
  • Special (Magic/Dunder) Methods
  • Property Decorators - Getters, Setters, And Deletes
  • Working With Files
  • Reading And Writing Files
  • Buffered Read And Write
  • Other File Methods.
  • Logging, Debugger
  • Modules And Import Statements
  • Exceptions Handling With Try-Except
  • Custom Exception Handling
  • List Of General Use Exception
  • Best Practice Exception Handling
  • Multithreading
  • Multiprocessing
  • Python Pandas - Series
  • Python Pandas – Data Frame
  • Python Pandas – Panel
  • Python Pandas - Basic Functionality
  • Reading Data From Different File System
  • Python Pandas – Re Indexing Python
  • Pandas – Iteration
  • Python Pandas – Sorting.
  • Working With Text Data Options & Customization
  • Indexing & Selecting
  • Data Statistical Functions
  • Python Pandas - Window Functions
  • Python Pandas - Date Functionality
  • Python Pandas –Time Delta
  • Python Pandas - Categorical Data
  • Python Pandas – Visualization
  • Python Pandas - Tools
  • Numpy - Nd Array Object.
  • Numpy - Data Types.
  • Numpy - Array Attributes.
  • Numpy - Array Creation Routines.
  • Numpy - Array From Existing.
  • Data Array From Numerical Ranges.
  • Numpy - Indexing & Slicing.
  • Numpy – Advanced Indexing.
  • Numpy – Broadcasting.
  • Numpy - Iterating Over Array.
  • Numpy - Array Manipulation.
  • Numpy - Binary Operators.
  • Numpy - String Functions.
  • Numpy - Mathematical Functions.
  • Numpy - Arithmetic Operations.
  • Numpy - Statistical Functions.
  • Sort, Search & Counting Functions.
  • Numpy - Byte Swapping.
  • Numpy - Copies &Views.
  • Numpy - Matrix Library.
  • Numpy - Linear Algebra
  • Matplotlib
  • Seaborn
  • Plotly
  • Bokeh

Invest In Your Success

Job Guarantee

Features
  • 100% job Guarantee or get 1,00,000 refunded instantly
  • Live sessions
  • 1 to 1 Live Doubt Support
  • Course completion certificate
  • Personalized Resume Support
  • Personalized Mock Interviews
  • Lifetime dashboard access
  • One complimentary upgrade to the next batch

₹1,40,000

₹1,50,000

Placement Assistance

Features
  • Live sessions
  • community doubt support
  • Course completion certificate
  • Resume Support
  • Mock Interviews
  • 1 year dashboard access
  • 1 to 1 Live Doubt Support

₹40,000

₹45,000

Job roles post course completion

Data scientist
Decision scientist
Sr Data scientist
Ai Engineer
Ai Researcher

Success Stories

⁠ Priya Sharma

Finally found a course that doesnot just teach theory! Was stuck in a boring data entry job, spending 50k on random courses. The SQL module is gold - learned stuff I actually use daily now at my new startup job.

⁠Arjun Mehta

Was super skeptical at first tbh (tried 2 other institutes before 😅). DSA felt like a mountain, especially coming from a tier-3 college. But Amit sir explanation of recursion actually made it click!

⁠Rajesh Krishnamurthy

Writing this after 6 months in my new role. Mechanical grad who couldnot write a single line of code. Was scared about DSA (those leetcode hards 😱). But the building blocks approach really worked. Started from arrays, now solving graph problems! Big thanks to Sneha for the extra doubt sessions.

⁠Karthik Iyer

Real talk: This is one of those "become DSA expert in 30 days" scams. It intense, requires 3-4 hours daily commitment.

⁠Vikram Singhania

My analytics team actually noticed the difference in my reports after just the first month! The R programming part was tough (lots of late nights), but the teaching assistants were patient. Special shoutout to Rohit bhaiya for debugging help. No more googling "how to analyze this data" 😂

⁠Neha Patel

Honest review after completing BA course: Pros - Actually teaches real analytics, not just basic Excel. The projects use actual company data. Thursday doubt sessions are super useful. Cons - Batch was too large (40+ students), some 1:1 mentor sessions got delayed. Still, landed a good role, so paisa vasool!

⁠Aryan Malhotra

Been coding for 2 years but DSA concepts were always confusing. The visualization tools helped a lot (especially for trees and graphs) 💪 .

⁠Maqsood

Analytics course alumna here! Warning: First two weeks feel very basic, but then it gets intense. The statistics part finally makes sense (hated it in college).

⁠Amit Kapoor

Straightforward review: DSA foundation is solid. But prep for long hours (especially if working). The dynamic programming module was tough, but the flowcharts helped. Some classes got extended beyond schedule. Good: They added extra doubt sessions before placement season.

⁠Rohit Verma

6 months, 400+ DSA problems, 8 interviews, and finally cracked a product based company! The structured roadmap works. Those 2 AM debugging sessions with batchmates are memorable 😅 Worth every rupee and every sleepless night. Just follow the schedule and trust your mentors.

⁠Divya R

Clear Explanations I used to get frustrated with DSA concepts, but the clear explanations at iSkills helped me break things down. Now, I approach problems with a much clearer mindset.

⁠Anuj G

Great Practice Problems The practice problems provided are both challenging and rewarding. They really test your understanding of DSA and help you prepare for real-world coding challenges.

⁠Priya Singh

Learning Made Simple iSkills takes the complex world of coding and analytics and makes it simple. The content is easy to digest, and the flexibility to learn at your own pace is a bonus.

⁠Maqsood

Smooth Transition I transitioned from preparing for CAT to diving into analytics, and iSkills made it seamless. The lessons are structured in a way that builds up your knowledge gradually but effectively.

⁠Rajesh Krishnamurthy

Perfect for Working ProfessionalsBalancing work and learning was tough, but iSkills made it easy with their flexible pre-recorded sessions. I could learn at my own pace without feeling rushed. Great learning experience overall.

⁠Arjun Mehta

Thoroughly ImpressedThe way the course covers everything from Python basics to statistical models is amazing. The pace is perfect for beginners and those with some experience. I feel more confident with analytics now.

⁠Amit Kapoor

Confidence BoostThe DSA course at iSkills is phenomenal. I was always struggling with data structures, but this course made me not only understand them but also apply them confidently in coding challenges.

⁠Aryan Malhotra

Mastering Analytics This course isn’t just about memorizing concepts. Its about applying them in real business scenarios. iSkills taught me how to think analytically, and that’s the real value.

⁠Vikram Singhania

Solid FoundationI started with zero knowledge of analytics, and now I feel ready to apply Python and statistical methods in my work. The course was designed so well that I could track my progress easily.

⁠Karthik Iyer

Clear, Concise, and FunThe best part? The course doesn’t just give you theory, but also explains why certain techniques are used in real business problems. Statistics that seemed difficult before are now super easy to understand.

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