Skyaltum’s Python Full Stack Developer Course is designed to give you complete, in-depth knowledge of Python programming—from basic to advanced level.
Our expert-led training covers essential Python libraries like Pandas, NumPy, and Matplotlib, along with real-time projects to build hands-on experience. You’ll also work with popular frameworks like Django and Flask, equipping you with the skills needed for today’s job market.
Whether you're starting fresh or transitioning careers, our Python Certification Training is your gateway to success in the tech industry. Let Skyaltum guide you to a brighter future in full stack development.
Python is one of the most popular programming languages in the world, and there is a high demand for Python developers in the job market.
By learning Python full-stack development, you can position yourself for a wide range of career opportunities in web development.
Prepare & Practice for real-life Mock interviews at AchieversIT and learn to perform with confidence with our expert team.
About the Python Certification course
Python is one of the most powerful, flexible, and beginner-friendly open-source programming languages. With rich libraries for data manipulation and analysis, Python has been a key tool for over a decade in fields like scientific computing, finance, oil & gas, physics, and signal processing.
At Skyaltum, our Python Certification Course goes far beyond the basics. We start with the core fundamentals of Python, Statistics, and Machine Learning, and gradually guide you toward mastering applied Data Science at scale using Python.
This hands-on training is packed with real-world problems, assignments, and scenarios—helping you gain practical experience in solving predictive modeling challenges using Machine Learning.
You’ll explore essential statistical concepts like mean, median, mode, and dive deep into Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees, and Support Vector Machines—each taught with clear examples and exercises.
We also cover Reinforcement Learning, a crucial part of Artificial Intelligence, enabling you to train machines using real-life decision-making scenarios.
Alongside these advanced topics, you’ll master core Python concepts such as script writing, sequence handling, file operations, and use powerful libraries like Pandas, NumPy, Matplotlib, Scikit-learn, and more.
Whether you're starting a new career or upgrading your skillset, Skyaltum’s Python Full Stack Course gives you the knowledge, tools, and confidence to thrive in the world of Data Science and AI.
Python continues to be the go-to language for data scientists, widely used for building machine learning applications and performing complex scientific computations. Its simple, readable syntax and fast compilation drastically reduce development time, while the built-in debugger makes debugging quick and easy.
Python is cross-platform, running seamlessly on Windows, Linux/Unix, and Mac OS, and is even compatible with Java and .NET virtual machines. Its OSI-approved open-source license allows free usage—even in commercial products.
With its versatility and power, Python has firmly established itself as the most preferred language for Data Analytics. The rising demand and search trends clearly show that Python is the “Next Big Thing”—a must-have skill for professionals aiming to succeed in the Data Analytics and Machine Learning domains.
Join Skyaltum’s Python Certification Course and future-proof your career with one of the most in-demand technologies today.
After completing this Data Science Certification training, you will be able to:
Programmatically download and analyze data
Learn techniques to deal with different types of data – ordinal, categorical, encoding
Learn data visualization
Using I python notebooks, master the art of presenting step by step data analysis
Gain insight into the 'Roles' played by a Machine Learning Engineer
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and its related concepts
Perform Text Mining and Sentimental analysis
Gain expertise to handle business in future, living the present
Data Science certification course in Python is a good fit for the below professionals:
Programmers, Developers, Technical Leads, Architects
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
To get the most out of our Python Full Stack Developer course, we recommend a basic understanding of computer programming concepts, including:
Fundamentals of loops and if-else conditions
A basic knowledge of HTML and CSS
Familiarity with general programming logic and structure
No advanced coding experience is required—our course is designed to guide you step-by-step from the fundamentals to advanced topics with ease.
Create a basic task management app where users can add, edit, delete, and mark tasks as completed. This project focuses on implementing core CRUD operations, providing a great foundation in front-end and back-end integration for beginners in full stack development.
Project 2: Weather Forecast ApplicationDevelop an interactive weather app that fetches real-time weather data from an API like OpenWeatherMap and displays current conditions, temperature, and forecasts to users. This project emphasizes API integration, data handling, and user-friendly UI design—perfect for hands-on learning in web development.
Project 3: Online Quiz ApplicationCreate a user-friendly quiz platform where users can take quizzes on various topics, view their scores, and track their progress over time. This project focuses on user interaction, score tracking, and dynamic content rendering, offering great experience in building educational and interactive web applications.
Project 4: Machine Learning Model DeploymentCreate a web application that allows users to interact with a deployed machine learning model for tasks like image recognition, sentiment analysis, or predictive analytics. This project focuses on integrating ML models with a web interface, handling real-time input, and visualizing results, giving you hands-on experience in end-to-end ML deployment.
Project 5: Data Visualization DashboardCreate a data visualization dashboard using Python libraries (e.g., Matplotlib, Plotly, Seaborn) to analyze and visualize data trends.
Project 6: Sentiment Analysis ApplicationBuild a sentiment analysis application that analyzes text data (e.g., tweets, product reviews) to determine sentiment (positive, negative, neutral).
Gain 90–120 hours of in-depth classroom or online training with live projects. Work on 5+ real-world projects based on selected use cases to master the practical implementation of Python development skills.
Experience 200–250 hours of hands-on sessions guided by industry experts. These practical tasks are designed to equip you with the skills needed to get placed in your dream Python developer role.
Participate in weekly assessments to ensure solid learning progress. If needed, our team offers extra sessions to support and reinforce concepts covered in the Python Developer Course.
Get lifetime access to course content and updates — completely free. Upskill anytime and stay relevant with the latest trends in Python development.
Our dedicated team of Python experts is available 24/7 to assist with queries, real-world issues, and guidance throughout your learning journey.
Earn a recognized certification that opens doors to top job opportunities and high-paying packages in the field of Python development.