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urse covers Python Programming, Data Science Packages Numpy, Pandas, sklearn, scipy, matplotlib
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Intensive 2 days Classroom/LVC Training and 1 months LIVE Project mentoring.
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Unlimited access to Data Science Cloud Lab for practice
PYTHON FOR DATA SCIENCE COURSES
4.9 (23,119) reviews
Accredited by
3+ Live
Projects
Skill AI
Certificate
DATA SCIENCE CERTIFICATION AUTHORITIES
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DATA SCIENCE COURSE FEE
Live Virtual
Instructor Led Live Online
₹55,221
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DMC Certification
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4-Month | 400 Learning Hours
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20-Hour Live Online Training
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10 Capstone & 1 Client Project
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365 Days Flexi Pass + Cloud Lab
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Internship + Job Assistance
Blended Learning
Self Learning + Live Mentoring
₹32,505
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Self Learning + Live Mentoring
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DMC Certification
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1 Year Access To Elearning
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10 Capstone & 1 Client Project
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Job Assistance
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24*7 Learner assistance and support
Financing Options
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
Pay In Installments, as low as
We have partnered with the following financing companies to provide competitive finance options at as low as
0% interest rates with no hidden cost.
Admission Closes On : 31st january 2026
WHY SKILL AI INSTITUTE FOR DATA SCIENCE COURSES
Expert Trainers
PH.Ds AND INDUSTRY EXPERTS
ELITE FACULTY FROM PRESTIGIOUS
UNIVERSITIES WITH DEEP RESEARCH
AND COACHING EXPERTISE
Specialized Syllabus
SPECIALIZED SYLLABUS FOR MANAGERS
PERSONALIZED COUNSELLING FOR CAREER
ENHANCEMENT IN MANAGERIAL ROLES
FOCUSED ON DATA SCIENCE FOR DECISION MAKING,
MANAGING DATA SCIENCE PROJECTS WITH ESSENTIAL TECHNICAL OVERVIEW
Career Guidance
EXPERT COUNSELORS
TECHNIQUES FOR SCENARIOS WITH CERTAINTY,
LOW UNCERTAINTY AND HIGH CERTAINTY FROM
DECISION TREE TO MONTE CARLO SIMULATION
5 Case Studies
PRACTICAL DECISION-MAKING CASES
SYLLABUS OF DATA SCIENCE COURSES
• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions• Decorators
• Generators
• Context Managers
• Metaclasses
• Inheritance and Polymorphism
• Encapsulation and Abstraction
• 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• SQL Basics
• Creating DB Table
• INSERT, READ, UPDATE, DELETE
• Introduction to MongoDB
• CRUD operations in MongoDB• namedtuple(), deque, ChainMap,
• Counter, OrderedDict, defaultdict,
• UserDict, UserList, UserString• Exceptions handling with try-except
• Custom exception handling
• List of general use exception
• Best practice exception handling• Generators, Iterators
• The Functions any and all
• With Statement
• Data Compression• A Daytime Server
• Clients and Servers
• The Client and Server Programs• Generators, Iterators
• The Functions any and all
• With Statement
• Data Compression• Regular Expression Syntax
• Group, Split and wildcards
• Quantifiers
• Match, Search and Find all methods
• Character Sequence• Introduction to OpenCV, Installation
• Basic Operations on Images
• Image Filtering
• Image Classification• Introduction to GIT
• Basic Git commands• Introduction to Flask and Installation
• Creating project
• Routing,templates, forms and database integration
• Deployment on render• Django Introduction and Installation
• Creating a Project
• Django Architecture and File Structure
• Folder Structure, First Django project
• Database and Views, Static Files and Forms
• URL Mapping and Routing• Defining Models and Relationships
• Database Migrations and Schema Changes
• Querying Data using Django ORM
• Model Forms and Form Validation• HTML Forms in Django
• Model Forms and Form Validation
• Formsets and Inline Formsets
• File Uploads and Validation• Deploying Django Applications
• Hosting Options (e.g., Heroku, AWS)
• Project Showcasing and Review