Free Development courses with certificate

Supervised Machine Learning: Regression Algorithms with Python

Master supervised machine learning regression techniques using Python and Scikit-Learn. Learn Simple and Multiple Linear Regression, Gradient Descent, Regularization, and Decision Tree Regression. Explore model building, prediction, and optimization through hands-on implementation and real-world projects, including Rainfall Prediction. Develop practical skills to build regression models and predict continuous numerical values.

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Introduction to Flask and RestAPIs

Learn to build web applications and REST APIs using Python and Flask. Understand routing, HTTP methods, JSON handling, and client-server communication through practical examples.

Data Modelling, ETL & Data Warehousing for Analysts

Python OOP Programming

This Python Object-Oriented Programming (OOP) course is designed to help you transition from writing basic scripts to building scalable, professional-grade software. We focus on the core principles that drive modern application development, ensuring you gain the "industry-ready" logic needed for complex projects.

Python Flask and REST API Development

Learn web application and REST API development using Python and Flask. This course covers routing, templates, database integration, authentication, JSON handling, API creation, and backend development with hands-on projects. Ideal for students and developers who want to build modern web applications and RESTful services.

MySQL for Web and Application Development

Learn MySQL Programming from basics to advanced with hands-on database training. This course covers database design, SQL queries, table creation, joins, functions, stored procedures, triggers, and database management techniques. Students will gain practical experience in managing and developing databases for web and software applications using MySQL.

Advanced Web Scraping with Python

This course is suitable for students, beginners, Python learners, data analysts, developers, freelancers, and anyone interested in automated data collection. No advanced programming experience is required. Basic Python knowledge is helpful but not essential

FastAPI Crash Course – Modern Python API Development

FastAPI leverages modern Python features like type hints and async/await to deliver performance on par with NodeJS and Go. This comprehensive course takes you from a complete beginner to a confident backend engineer capable of designing, securing, and deploying scalable APIs.

Regular Expressions: Data Cleaning & Text Analysis

By the end of the course, learners will be able to confidently create Regex patterns and use them to search, extract, clean, validate, and transform data efficiently.

Foundations of Statistical Data Analysis

Learn the basic math and logic rules that make modern data science work. This course turns hard math ideas into real, practical skills you can use every day. You will go beyond just counting numbers. Instead, you will understand why data acts the way it does, learn how to find hidden patterns, and use math to prove your results are correct.

Web Scraping for Beginners

Learn how to collect, extract, clean, and automate data from websites using Python in this practical, project-based web scraping course. This course takes you from the fundamentals of web scraping to advanced data extraction techniques. You’ll work with popular Python libraries and tools such as Requests, BeautifulSoup, Selenium, and Pandas to extract useful information from real-world websites and transform it into structured datasets.

Mastering Docker Containerization

Learn how to build, manage, and deploy applications using Docker containers. Explore containerization concepts, Docker images, volumes, networking, Docker Compose, and real-world deployment workflows used in modern software development, DevOps, cloud computing, and scalable application infrastructure.

Modern API Development using FastAPI

FastAPI is a modern Python web framework for building fast and efficient APIs. It supports automatic documentation, type validation, and asynchronous processing, making it ideal for developing high-performance backend services and machine learning APIs.

JavaScript: Powering Interactive Web

JavaScript is a programming language that adds interactivity and dynamic behavior to websites. It enables features like animations, user interactions, real-time updates, and logic, making web pages more engaging and functional.

Node.js: Run JavaScript on the Server

Node.js is a runtime environment that allows JavaScript to run outside the browser. It is used to build fast, scalable backend services, APIs, and real-time applications using an event-driven, non-blocking architecture.

Complete Python Foundation Training

Learn the fundamentals of programming with Python through a beginner-friendly and practical training program. This course covers Python basics, variables, data types, operators, loops, functions, file handling, and problem-solving techniques with hands-on exercises and mini projects. Ideal for students, beginners, and aspiring developers starting their programming journey.

React: Build Dynamic User Interfaces

React is a JavaScript library used for building fast and interactive user interfaces. It uses a component-based architecture and virtual DOM to efficiently update and render web applications, making development scalable and maintainable.

Shopify E-Commerce Development

Shopify is an eCommerce platform that lets you create, manage, and grow an online store without technical complexity. It provides ready-made templates, payment integration, and powerful tools to handle products, sales, and marketing efficiently.

Streamlit: Turn Data into Apps

Streamlit is a Python-based framework that lets you build interactive web apps for data science and machine learning projects quickly. It simplifies turning code into visual dashboards with minimal effort, making it ideal for rapid prototyping and deployment.

Data Analyst Foundations: Essential Skills for Beginners

Start your journey into data analytics with our Data Analyst Foundations course at Nerdit. This beginner-friendly course introduces the essential concepts, tools, and techniques used by professional data analysts. Learn how to understand datasets, clean and organize data, perform basic analysis, identify trends, and turn raw information into meaningful insights. Build a strong foundation in data analytics through practical examples, hands-on exercises, and real-world business scenarios.

ML Model Evaluation & Hyperparameter Tuning

Learn to evaluate machine learning models, choose the right metrics, and tune hyperparameters using cross-validation, grid search, and random search. Build practical Python skills to detect overfitting, prevent data leakage, and compare models fairly.

Data Cleaning and Pre-processing

Master essential data cleaning and preprocessing techniques using Python and Pandas. Learn to handle missing values, remove duplicates, fix inconsistent data, detect outliers, and transform raw datasets into structured, analysis-ready data. Explore feature scaling, encoding, and preprocessing techniques through practical exercises and real-world datasets to prepare data for accurate analysis and Machine Learning models.