// 80 courses indexed
The course directory
Every course we track across 10+ providers, in one searchable index. Want a shortlist picked for your goals? Run a free skill gap analysis.
Agile Software Development with Python: TDD and BDD
In today’s fast-moving tech world, great developers do more than just write code — they build adaptable, high-quality software that meets real user needs. This hands-on course will guide you through the essential tools and mindsets that power modern software teams. You’ll gain a deep understanding of Agile principles and the Scrum framework, learning how to iterate quickly and deliver value efficiently. Through practical Python exercises, you’ll master Test-Driven Development (TDD) and Behavior-Driven Development (BDD) — industry-proven practices that help you design cleaner, more reliable, an
All levels
Create Your First Web App with Python and Flask
In this 2-hour long project-based course, you will learn the basics of web application development with Python using the Flask framework. Through hands on, practical experience, you will go through concepts like creating a Flask Application, using Templates in Flask Applications, using SQLAlchemy and SQLite with Flask, and using Flask and WTForms. You will then apply the concepts to create your first web application with Python and Flask. This course is aimed at learners who are looking to get started with web application development using Python, and have some prior programming experience in
All levels
Gen AI for Code Generation for Python
The Gen AI for Code Generation for Python course introduces practical techniques for using Generative AI to create Python code efficiently. This course is designed to help learners understand how AI tools can assist in writing everything from simple Python scripts to complete end-to-end applications. You will explore key methods for AI-assisted code generation, apply prompt strategies, and learn how to streamline development using generative models. By the course's conclusion, you will be able to: - Generate code with the help of the Generative AI tool - Implement strategies to design pre
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Optimize TensorFlow Models For Deployment with TensorRT
This is a hands-on, guided project on optimizing your TensorFlow models for inference with NVIDIA's TensorRT. By the end of this 1.5 hour long project, you will be able to optimize Tensorflow models using the TensorFlow integration of NVIDIA's TensorRT (TF-TRT), use TF-TRT to optimize several deep learning models at FP32, FP16, and INT8 precision, and observe how tuning TF-TRT parameters affects performance and inference throughput. Prerequisites: In order to successfully complete this project, you should be competent in Python programming, understand deep learning and what inference is, and
All levels
Forecast Business Metrics: Uncover Value Drivers
In this short, practical course, you’ll learn how to use supervised learning to forecast key business metrics and uncover the drivers that shape performance. Through hands-on exercises in Python, you’ll build and tune regression and gradient-boosted models to predict outcomes such as next-quarter EBITDA. Then, you’ll apply explainable AI techniques, including SHAP and feature importance, to translate model outputs into clear, actionable business insights. By the end of the course, you’ll be able to evaluate forecast accuracy, identify which variables truly drive results, and communicate your f
All levels
Matrix Methods
Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction. Optional examples using Python are used to illustrate the concepts and allow the learner to experiment with the algorithms.
All levels
Data Science with NumPy, Sets, and Dictionaries
Become proficient in NumPy, a fundamental Python package crucial for careers in data science. This comprehensive course is tailored to novice programmers aspiring to become data scientists, software developers, data analysts, machine learning engineers, data engineers, or database administrators. Starting with foundational computer science concepts, such as object-oriented programming and data organization using sets and dictionaries, you'll progress to more intricate data structures like arrays, vectors, and matrices. Hands-on practice with NumPy will equip you with essential skills to tackl
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Hands-on Python for Networking Professionals
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will learn how to leverage Python to automate and simplify tasks within the field of networking. You will gain hands-on experience with tools and scripts that streamline common networking tasks such as error handling, environment variable management, and remote system interactions. By using Python, you can scale your network management, improve repro
All levels
Intro to Python: File Processing and Exception Handling
To round out your introduction to programming with Python, in this course, you'll manage files and directories through code. You'll also perform basic exception handling to gracefully address issues in your code. This is the third and final course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
All levels
Analyze Financial Data with Python for Decision Making
Learners will apply Python programming to analyze financial data, interpret time-based trends, build regression models, and communicate insights through effective visualizations. By the end of this course, learners will be able to transform raw financial datasets into meaningful analytical outputs that support data-driven financial decisions. This course is designed to bridge the gap between Python programming and practical financial analytics. Learners gain hands-on experience with Python setup, essential libraries, DataFrame operations, and core analytical techniques before progressing to f
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Select Topics in Python: Django
Code and run Django websites without installing anything! This course is designed for learners who have some experience with Python but a novice to Django. The modules in this course cover setting up a Django project; understanding the relationship between views, templates, and URL patterns; introduces models and the database; styling with Bootstrap; and deploying Django. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further,
All levels
Apply Advanced SQL Server Analytics and Programming
By the end of this course, learners will be able to manage semi-structured data using JSON, model complex relationships with graph databases, and apply advanced analytics by integrating R and Python within SQL Server. Learners will gain the ability to query, modify, and analyze diverse data formats directly inside the database environment. This course is designed for database professionals and data practitioners who want to move beyond traditional relational querying and leverage advanced SQL Server capabilities. Through hands-on concepts, learners will understand how to store and manipulate
All levels
Python for Data Visualization - A Beginner's Guide
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you'll learn how to effectively use Python for data visualization. You will start by setting up your environment and installing key libraries like Anaconda, Matplotlib, Seaborn, and Cufflinks, which are the cornerstone tools for data visualization in Python. You'll explore reading and processing data with Pandas, setting the stage for building powerful vi
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Python for the Absolute Beginner
Python has been the growing and most sought-after programming language of the past decade. In this course, you’ll start your journey as a Programmer with Python. This course requires zero experience in programming or coding. This course will teach foundational concepts such as data types, operators, functions, and basic Python internals. After each module, you’ll enjoy access to practice questions to better understand the concepts. The Python Basics Course offers you. The most visualized Python course ever so that you can learn complex concepts in ways that are easy to understand Practice q
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Deep Neural Network for Beginners Using Python
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Are you ready to become a deep learning expert? This step-by-step course guides you from basic to advanced levels in deep learning using Python, the hottest language for machine learning. Each tutorial builds on previous knowledge and assigns tasks solved in the next video. You will: - Learn to train machines to predict like humans by masteri
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Using APIs in Research
This practical course takes you through the process of selecting an appropriate API, using a client to collect data, and preprocessing data ahead of analysis. Knowledge of languages isn’t required, but additional activities are provided if you’re proficient in Python or R.
All levels
Python for Everybody Specialization
University of Michigan's beginner-friendly path covering Python programming, data structures, web data, and databases.
Beginner
Deep Learning Specialization
Five courses on neural networks, CNNs, sequence models, and ML strategy from DeepLearning.AI.
Intermediate
IBM Data Science Professional Certificate
Python, SQL, data analysis, visualization, machine learning, and a capstone project.
Beginner
IBM Full Stack Software Developer Professional Certificate
Hands-on full-stack path: HTML, CSS, JavaScript, React, Node, Python, Django, containers, and microservices.
Beginner
Crash Course on Python (Google)
Google's hands-on introduction to Python for people with no prior programming experience.
Beginner
Google Cybersecurity Professional Certificate
Job-ready cybersecurity path: security frameworks, SIEM tools, Linux, SQL, and Python for security.
Beginner