Master Python Programming With Industry Experts
Python-focused program covering core Python programming and key data science libraries such as NumPy, Pandas, Scikit-learn, SciPy, and Matplotlib with 2-day intensive classroom/LVC training, 1 month LIVE project mentoring, and cloud lab access for hands-on practice.
Choose Your Learning Path
Flexible Plans Designed to Fit Your Schedule & Learning Style
Select the learning mode that works best for you — self-paced, live online, or in-person classroom training
Blended Learning
Self Learning + Live Mentoring
- Self Learning + Live Mentoring
- NASSCOM & IBM & AAAI Certification
- 1 Year Access to E-learning
- 25 Capstone & 1 Client Project
- Job Assistance
- 24x7 Learner Assistance
Live Virtual
Instructor Led Live Online
- NASSCOM & IBM & AAAI Certification
- 7-Month | 700 Learning Hours
- 120-Hour Live Online Training
- 25 Capstone & 1 Client Project
- 365 Days Flexi Pass + Cloud Lab
- Placement Assurance
Classroom
In-Person Classroom Training
- NASSCOM & IBM & AAAI Certification
- 7-Month | 700 Learning Hours
- 120-Hour Live Online Training
- 25 Capstone & 1 Client Project
- Cloud Lab Access
- Placement Assurance
Tools & Technologies
Master Industry Tools
Hands-on training on the tools and technologies used by top data teams
worldwide.
Certification
NASSCOM & IBM & AAAI Certification
Flexible Financing Options
Pay in Easy Installments at 0% Interest
We’re dedicated to making our programs accessible. No hidden costs, transparent pricing
EMI Available
ShopSe
No Cost EMI & Scholarships Available
Our Partners
Companies That Hire Our Graduates
200+ leading companies trust Data Sprint graduates to drive their data
initiatives.
Why Data Sprint
Why Thousands Choose Data Sprint
We’re committed to transforming careers with quality education and real-
world experience.
Course Syllabus
Comprehensive Data Science Curriculum
A structured learning path covering foundations to advanced topics across data science, machine learning, and AI.
Python Foundation
Module 1: Python Basics
• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators
Module 2: Python Control Statements
• if Conditional statement
• if-else
• Nested IF
• Python Loops basics
• While Statement
• For statements
• Break and Continue statements
Module 3: Python Data Structures
• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods
Module 4: Python Functions
• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions
Advanced Python
Module 1: Object Oriented Programming (Oop) In Python
• 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
Module 2: Python File Management
• Working with files
• Reading and writing files
• Buffered read and write
• Other file methods
• Logging & Debugger
• Modules and import statements
Module 3: Sql And Mongodb
• SQL Basics
• Creating DB Table
• INSERT, READ, UPDATE, DELETE
• Introduction to MongoDB
• CRUD operations in MongoDB
Module 4: Collections And Container Datatypes
• namedtuple(), deque, ChainMap,
• Counter, OrderedDict, defaultdict,
• UserDict, UserList, UserString
Module 5: Python Exception Handling
• namedtuple(), deque, ChainMap,
• Counter, OrderedDict, defaultdict,
• UserDict, UserList, UserString
Module 6: Bi Analyst
• Generators, Iterators
• The Functions any and all
• With Statement
• Data Compression
Module 7: Network Programming
• A Daytime Server
• Clients and Servers
• The Client and Server Programs
Module 8: Python Threads And Multithreading
• Generators, Iterators
• The Functions any and all
• With Statement
• Data Compression
Module 9: Regular Expression
• Regular Expression Syntax
• Group, Split and wildcards
• Quantifiers
• Match, Search and Find all methods
• Character Sequence
Module 10: Image Processing And Object Detection
• Introduction to OpenCV, Installation
• Basic Operations on Images
• Image Filtering
• Image Classification
Module 11: Git
• Introduction to GIT
• Basic Git commands
Module 12: Python Project With Flask
• Introduction to Flask and Installation
• Creating project
• Routing,templates, forms and database integration
• Deployment on render
Module 13: Python Project With Django
• 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
Module 14: Django Models And Migrations
• Defining Models and Relationships
• Database Migrations and Schema Changes
• Querying Data using Django ORM
• Model Forms and Form Validation
Module 15: Django Forms And Formsets
• HTML Forms in Django
• Model Forms and Form Validation
• Formsets and Inline Formsets
• File Uploads and Validation
Module 16: Deployment And Project Showcase
• Deploying Django Applications
• Hosting Options (e.g., Heroku, AWS)
• Project Showcasing and Review
Not Sure Which Course Is Right For You?
Book a free one-on-one career counselling session and get a personalized AI & Data career roadmap.