Overview
The Full Stack Python Development with Data Science & Django course is a comprehensive program designed to equip learners with complete proficiency in Python programming, data science applications, machine learning integration, automation, and modern web development using the Django framework. Whether you're starting fresh or upskilling for a career transition, this course takes you from foundational Python knowledge to building powerful, data-driven web applications ready for production.
With a focus on real-world applications and industry-relevant tools, this course blends backend programming, data science techniques, and web frameworks into a single, seamless learning experience. By the end of the course, learners will have hands-on experience working with tools like NumPy, Pandas, Scikit-learn, Matplotlib, and Django — positioning themselves for roles such as Python Developer, Data Analyst, Machine Learning Engineer, or Full Stack Web Developer.
Course Highlights
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Comprehensive Python Training
Master core Python programming concepts such as variables, control structures, functions, OOP, modules, file handling, and more. -
Data Science and Machine Learning with Python
Learn to process, analyze, and visualize data using libraries like NumPy, Pandas, Matplotlib, and Seaborn. Gain a working knowledge of Scikit-learn to build machine learning models. -
Python for Automation and Scripting
Explore the power of Python in automating repetitive tasks, file operations, data processing pipelines, and interacting with APIs. -
Advanced Python Programming
Understand concepts like generators, decorators, error handling, and Pythonic coding practices to write clean, maintainable, and efficient code. -
Web Development with Django
Build dynamic, database-driven web applications using Django’s MVC architecture. Learn to create views, templates, forms, and manage routing and URL configurations. -
Front-End Integration
Connect your Django backend to the front end using HTML, CSS, JavaScript, JSON, and jQuery to build responsive and interactive interfaces. -
Data Visualization on Web
Integrate Matplotlib and other Python libraries into Django apps to build interactive dashboards and real-time data visualizations. -
End-to-End Capstone Projects
Work on hands-on projects that simulate real industry problems — from automation scripts to deploying a full-stack data-driven web application.
Course Details
Curriculum
Module 1: Core Python Programming
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Introduction to Python and IDE setup
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Variables, data types, and operators
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Conditional statements and loops
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Functions and recursion
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Lists, tuples, dictionaries, and sets
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File I/O operations
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Exception handling
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Modules and packages
Module 2: Object-Oriented Programming in Python
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Classes and objects
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Constructors and destructors
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Inheritance and polymorphism
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Encapsulation and abstraction
Module 3: Python for Data Science
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NumPy for numerical computing
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Pandas for data manipulation and cleaning
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Matplotlib and Seaborn for data visualization
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Data preprocessing and feature engineering
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Exploratory Data Analysis (EDA)
Module 4: Machine Learning with Python
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Introduction to machine learning
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Supervised vs unsupervised learning
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Building models with Scikit-learn
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Model evaluation and optimization
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Real-world ML mini-project
Module 5: Python for Automation and Scripting
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Automating file system tasks
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Working with CSV, JSON, and Excel
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Writing Python scripts for APIs and web scraping
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Scheduling scripts with cron jobs or Task Scheduler
Module 6: Web Development with Django
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Django installation and project setup
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URL routing, views, and templates
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Models and ORM
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Admin interface and migrations
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Django forms and form validation
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User authentication and session management
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File uploads and static/media files
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CRUD operations with PostgreSQL/MySQL
Module 7: Front-End Integration
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Basics of HTML, CSS, and JavaScript
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Using jQuery and AJAX with Django
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Responsive web design using Bootstrap
Module 8: Data Visualization in Web Apps
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Generating charts with Matplotlib in Django
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Real-time graph updates using JavaScript
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Creating dashboards and reports
Module 9: Advanced Django Concepts
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Middleware and context processors
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Custom template tags and filters
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Deployment with Gunicorn/Nginx or Heroku
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Security best practices and performance optimization
Module 10: Capstone Projects
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Build a machine learning-powered web app
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Deploy a Django dashboard for real-time analytics
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Automate a complete business process using Python scripts
Why Choose This Course
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✅ Pay After Placement: We charge only after you land a job — 100% placement guaranteed.
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🧑🏫 Expert Instructors: Learn from industry veterans with hands-on experience in Python, data science, and full-stack web development.
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🔁 Doubt Clearing & Live Sessions: Interactive live classes with instant doubt resolution and post-class mentorship.
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💼 Placement Support: Resume building, mock interviews, and dedicated placement assistance to land roles in top companies.
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💻 Real Projects, Real Tools: Use professional tools and work on real-life problems — no dummy projects.
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📜 Certification: Receive a globally recognized certificate of completion from Career Cracker Academy.
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🧠 No Prior Experience Needed: From beginner to advanced — this course is designed for everyone.
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Customer Reviews
Coming from a non-IT background (B.Sc. Physics), this course helped me build a strong Python and machine learning foundation from scratch. The live sessions were interactive, and real-world projects gave me confidence. Thanks to the mock interviews and placement prep, I landed a Python role at Infosys with a CTC of ₹8.5 LPA.
With 2 years in BPO, I used this course to transition into automation. The Python scripting module and one-on-one mentorship helped me crack a tech role at Cognizant. I now work on automation workflows and backend tools, earning a CTC of ₹12 LPA.
Already from a CS background, I used this course to sharpen my machine learning and TensorFlow skills. The projects and placement referrals led me to Microsoft, where I joined as a Data Engineer with a CTC of ₹26 LPA.
As a mechanical fresher, I was new to coding. The beginner-friendly curriculum and Django training helped me get my first job as a Python developer at Wipro with a ₹6.5 LPA package.
With an MBA in Analytics, I wanted practical data science training. This course delivered real-world Python projects and strong placement support. I landed an Analyst role at ZS Associates with a ₹10 LPA offer.
After freelancing, I joined this course to upskill in Django and data visualization. The real-time coding challenges and resume support helped me join Capgemini as a Python Developer at ₹9.2 LPA.
As a final-year CS student, this course gave me an edge in placements with hands-on projects and clean coding practices. I cracked TCS Digital with a ₹14.5 LPA offer using the portfolio I built here.
Clear explanations and practical labs helped me master Python basics. I’m now working at HCL as a Junior Developer earning ₹7 LPA.
Excellent ML curriculum with a strong focus on Scikit-learn and Pandas. Got placed at IBM as a Data Analyst with ₹14 LPA.
Capstone project and mock interviews boosted my confidence. Landed a Data Science role at Deloitte with ₹11 LPA.
From resume writing to live projects, everything was on point. I now work at Mindtree as a Python Developer earning ₹8 LPA.
Easy-to-follow content and consistent mentor feedback helped me transition from support to dev at LTI with ₹7.5 LPA.
The course had excellent ML content. Thanks to placement training, I got into EY with ₹12 LPA as a Data Associate.
Loved the Django and API sessions. Helped me clear interviews and join Accenture with ₹10.2 LPA.
Python for Automation module was excellent. It helped me land a scripting role at Tech Mahindra with ₹6.8 LPA.
Great support from instructors and TA team. Cleared my technical rounds and got into Tata Elxsi with ₹7.2 LPA.
Real-world data problems and Python scripting were very helpful. I joined Bosch’s analytics team at ₹8.4 LPA.
Loved the project on recommendation systems! Helped me land a data analyst role at Flipkart with ₹13.5 LPA.
Well-designed curriculum and coding practice helped me enter full-stack Python at Publicis Sapient (₹11.2 LPA).
The course’s visualization and Django combo got me placed at Ola Electric as a Python Engineer with ₹9.8 LPA
Resume help + mock technical rounds sealed it for me. I joined Jio Platforms as a Python Developer at ₹10.5 LPA.
Solid course for automation and data parsing tasks. Joined Siemens R&D division with ₹9.2 LPA.
Career Cracker’s mock coding rounds and live projects helped me crack Paytm with a ₹11.5 LPA offer.
Loved the live doubt-clearing sessions. The ML case studies helped me join IBM’s AI team at ₹13 LPA.
Great course structure, solid Django coverage. Got placed at Capgemini with ₹7.8 LPA.
Deep learning basics were also touched upon, which helped me join Oracle as an ML Engineer at ₹15 LPA.
I applied my final project during Airtel's hiring process. It worked—I’m now at ₹9.3 LPA in their tech team.
The resume building and personal mentorship sessions were excellent. I’m at Dell now, earning ₹10.5 LPA.
The course took me from zero to job-ready. I work at BYJU’S as a Python Automation Engineer with ₹8.2 LPA.
Structured curriculum, regular quizzes, and peer learning helped me get into Deloitte with ₹12.3 LPA.
Joined TCS with ₹7 LPA after strong support from mentors. The automation modules were the best part for me.
The real-time projects and GitHub portfolio reviews made a difference. Landed a job at DXC Technology.
Advanced ML sessions and custom APIs made my profile stand out. Contracted at Amazon earning ₹18 LPA.
Data wrangling projects gave me hands-on confidence. Got into HSBC’s Data division at ₹11 LPA.
Course was well-paced, and the interview prep series helped me crack PhonePe with a ₹16 LPA package.
Excellent curriculum with business-oriented ML projects. Got placed at KPMG with ₹13 LPA.
Switched from manual testing to development after this course. Got into Infosys dev team at ₹9 LPA.
The Django + data visualization combo helped me land a role at Cognizant as a Python Dev at ₹10 LPA.
The weekly coding drills and resume prep helped me crack Accenture’s hiring test at ₹10.8 LPA.
The instructors made ML and Python so practical. I got placed at PwC as a Data Analyst earning ₹12.5 LPA.
Did the course while interning. Converted to FTE at Adobe with a ₹17 LPA package thanks to this course.
Good Django practice, especially forms and routing. Got into Genpact with ₹8.7 LPA.
Course helped me strengthen my Python skills and portfolio. I cracked a core Python role at Nvidia with ₹22 LPA.
Great analytics content. Python for data handling was especially useful in landing a job at Mu Sigma.
Loved the object-oriented design modules. Cracked SAP Labs role with ₹15.5 LPA after this course.
Their resume makeover and project exposure helped me land a dev role at MakeMyTrip with ₹9.4 LPA.
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