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Learn Jupyter Notebooks, earn certificates with free online courses from Stanford, University of Pennsylvania, University of Michigan, UC San Diego and other top universities around the world. Read reviews to decide if a class is right for you.
Apply data analysis skills to real-world datasets, covering collection, wrangling, exploration, visualization, and dashboard creation. Culminates in a comprehensive report showcasing proficiency with various tools and techniques.
Comprehensive introduction to data science using Python and R, covering data wrangling, analysis, and visualization. Ideal for beginners seeking practical skills in handling diverse datasets and creating informative visualizations.
Learn to leverage LLMs for powerful applications using OpenAI API. Master prompt engineering, build custom chatbots, and explore various text-based tasks like summarizing, inferring, transforming, and expanding.
Learn python back end development, build a website or APIs in Python, designed for students with Mac or Windows
Learn to Preprocess, Wrangle and Visualise Data For Practical Data Science Applications in Python
Explore trading fundamentals, machine learning, and Google Cloud Platform to build quantitative strategies and models using Python, focusing on regression, time series, and neural networks.
Start your python journey here. You will be able to build on these foundations to achieve what you want with python.
Explore complexity science, its applications in society, and key concepts like resilience, robustness, and sustainability. Learn mathematical methods and practical applications in cities and health through Jupyter Notebook exercises.
Learn the essentials of data structures in Python.
Master Python programming from scratch, covering basics to advanced concepts like OOP. Gain practical skills for professional use in various applications, from automation to AI.
A Deep Dive into Building Machine Learning and Deep Learning models
Master the building blocks of base Python for data analysis & BI, with hands-on demos & unique, real-world projects!
Learn how to write professional ETL pipelines using best practices in Python and Data Engineering.
Learn to Analyse , Make Predictions, Explore data Frames,Clean and Visualize Data
Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: A2C, REINFORCE, DQN, etc.
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