Python Courses and Certifications

Фундаментальный курс Python с практикой анализа текста, HTTP-запросов, API и XML.

• Stepik
• 26 hours
• Self-Paced
• Free Certificate

Career Certificate

AI and Machine Learning Essentials with Python

60 ratings at Coursera

Learn AI, machine learning, and deep learning essentials alongside the statistics behind them, writing Python programs that carry out basic machine learning tasks.

• Coursera
• 16 weeks, 8 hours a week
• Self-Paced
• Paid Course
• 4 courses

Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript

103 ratings at Coursera

Code geometry instead of drafting it: use Python and Rhinoscript in Rhinoceros to build variable geometric systems, 3D matrix wall structures, and NURBS-generated tower forms.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Career Certificate

Python Data Products for Predictive Analytics

313 ratings at Coursera

Build Python data products: process and visualize data, apply design thinking, develop statistical and predictive models, and deploy machine learning models for business and research decisions.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Python Project for Data Engineering

862 ratings at Coursera

Build an ETL workflow in Python: extract data by web scraping and REST APIs, convert it into target formats, and load it into a database table.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Data Mining in Python

14 ratings at Coursera

Extract knowledge from large datasets: represent data as itemsets, vectors, matrices and sequences, then mine frequent patterns and similarity measures like Jaccard and edit distance.

• Coursera
• 4 weeks, 13 hours a week
• Self-Paced
• Paid Course

Python Debugging: A Systematic Approach

11 ratings at Coursera

Debug Python code systematically with the OILER framework — Orient, Investigate, Locate, Experiment, Reflect — while practicing loops, control structures, map, filter, and list comprehension.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Statistics with Python Using NumPy, Pandas, and SciPy

Apply statistics to data science problems in Python: vector dot products, matrix multiplication, probability basics, data distributions, normal distributions, and sampling-based inference.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Creative Coding for Designers Using Python

Build Python projects in Processing: particle systems, vector fields guiding motion, ecosystem simulations, A* pathfinding, and wave function collapse for procedural, tile-based generative design.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Data Structures for Designers Using Python

Use Python in Processing to draw with lists, dictionaries, grids, vector math, and classes, building generative art and systems of interacting objects.

• Coursera
• 5 weeks, 5 hours a week
• Self-Paced
• Paid Course

Python Debugging Capstone Project: Fixing and Extending Code

Debug and extend a data project: apply the OILER framework with NumPy, pandas, and SciPy to handle missing data and produce clean, maintainable notebooks.

• Coursera
• 2 weeks, 8 hours a week
• Self-Paced
• Paid Course

Great Learning

Python Programming in Hindi - Python Tutorial for Beginners

हिंदी में Python की बुनियादी प्रोग्रामिंग से NumPy, Pandas और Django परियोजनाओं तक सीखें।

• YouTube
• 8 hours 34 minutes
• Self-Paced
• Free Video

Great Learning

Python Tutorial for Beginners in Hindi

Learn the basics of Python in Hindi in this course by Great Learning.

• YouTube
• 6 hours 2 minutes
• Self-Paced
• Free Video

Data Analysis with Python Course - Numpy, Pandas, Data Visualization

5 ratings

Learn Python basics then analyze tabular data with Numpy arrays, Pandas data frames, and Matplotlib and Seaborn charts, finishing with an exploratory data analysis project.

• freeCodeCamp
• 10 hours
• Self-Paced
• Free Video

Goldsmiths University of London;  University of London

Foundations of Data Science: K-Means Clustering in Python

735 ratings at Coursera

Learn the maths, statistics and Python basics behind data science: compute means and deviations, move to two-dimensional data, use pandas, and cluster a dataset with K-means.

• Coursera
• 5 weeks, 6 hours a week
• Self-Paced
• Paid Course