Data Science

Python For Data Science — Learn to use the Python programming language and its ecosystem for data analysis, data processing, and big data applications.

Big Data Analysis with PySpark and Python

Python For Data Science
Process massive datasets, write efficient queries, and build scalable machine learning pipelines using Python and Spark DataFrames.
★ 4.4 (1,239)

Python for Financial Analysis and Investment Data

Python For Data Science
Learn Python programming basics and apply data analytics to stock returns, portfolio risk, and modern financial models.
★ 4.6 (1,280)

Financial Analysis and Algorithmic Trading with Python

Python For Data Science
Master Python for financial data analysis, portfolio optimization, and backtesting trading strategies with modern libraries and clean code practices.
★ 4.5 (1,119)

Essential Python Programming for Data Science Beginners

Python For Data Science
Acquire the core Python programming fundamentals and data structures you need to confidently transition into data science and machine learning.
★ 4.2 (3,277)

Practical Data Analysis with Python and Spark

Python For Data Science
Master the fundamentals of distributed data processing and build powerful analysis pipelines with PySpark, even with no prior big data experience.
★ 4.5 (1,117)

Python Cryptocurrency API: Building Real-World Data Tools

Python For Data Science
Master the art of retrieving and processing live market data to create custom cryptocurrency portfolios and price monitoring applications.
★ 4.4 (1,164)

Python Optimization Modeling: Solve Decision Problems with Pyomo

Python For Data Science
Learn to formulate and solve linear, integer, and non-linear optimization problems using Pyomo and modern Python tools to make data-driven, optimal decisions.
★ 4.2 (804)

Designing Recommender Systems with Python and Machine Learning

Python For Data Science
Build and evaluate personalized recommendation engines using collaborative filtering, matrix factorization, and deep learning techniques in Python.
★ 4.4 (3,914)

NumPy for Data Science: Practical Coding Exercises

Python For Data Science
Learn to manipulate multi-dimensional arrays, perform vectorized calculations, and solve data challenges through structured, hands-on written coding exercises.
★ 4.1 (443)

PySpark Essentials: Big Data Processing and Analysis with Python

Python For Data Science
Transition your Python and SQL skills to PySpark to clean, aggregate, and analyze massive datasets using modern big data workflows.
★ 4.5 (8,727)

Practical ChatGPT for Data Science

Python For Data Science
Accelerate your data analysis, code generation, and modeling workflows by mastering AI-powered prompts and techniques.
★ 4.1 (233)

Data Science and Machine Learning Projects with ChatGPT

Python For Data Science
Learn how to write code, analyze datasets, and build machine learning pipelines by leveraging conversational AI as your coding partner.
★ 4.1 (296)

Introduction to Data Science: Python, SQL, and AI Foundations

Python For Data Science
Acquire foundational skills in data analysis, visualization, and machine learning using Python, SQL, Tableau, and modern AI tools through practical written guides.
★ 4.5 (9,261)

NumPy for Data Science: Practical Numerical Computing

Python For Data Science
Master multi-dimensional arrays, mathematical operations, and vectorization to build a solid foundation for data analysis and machine learning workflows.
★ 4.4 (281)

Spark with Scala for Big Data Engineering

Python For Data Science
Learn to build, optimize, and deploy scalable big data pipelines using Spark and Scala, from foundational batch processing to real-time structured streaming.
★ 4.6 (528)

Intermediate Python: Mastering Dictionaries and Data Structures

Python For Data Science
Elevate your Python skills by learning to manage complex data structures, optimize key-value operations, and apply modern coding practices for cleaner software.
★ 4.6 (338)

Streamlit for Data Science: Build Interactive Web Applications

Python For Data Science
Learn to turn your Python scripts and machine learning models into interactive web applications and dashboards using Streamlit, with no web development experience required.
★ 4.4 (205)

Python Programming: Foundations, OOP, Databases, and Data Analysis

Python For Data Science
Build a solid foundation in Python by mastering core programming concepts, object-oriented design, database integration, and essential data libraries.
★ 4.4 (1,201)

Python Programming Foundations: Build for Data Science and AI

Python For Data Science
Develop practical Python programming skills to clean data, automate workflows, and work with modern AI APIs through structured written guides and coding exercises.
★ 4.6 (2,689)

Python Programming Foundations for Data Science and Web Development

Python For Data Science
Build a strong foundation in Python programming and modern coding practices to prepare for careers in data science, machine learning, and web development.
★ 4.5 (333)

Spark Programming in Scala for Data Engineering

Python For Data Science
Build scalable data processing pipelines and master Spark architecture using Scala through practical text-based lessons and modern data engineering workflows.
★ 4.7 (3,442)

Scientific Python Programming: Learn by Solving Practical Projects

Python For Data Science
Build a strong foundation in Python and learn to solve real-world scientific and data-driven problems using modern programming practices and hands-on written exercises.
★ 4.8 (1,559)

Practical Customer Analytics with Python

Python For Data Science
Master churn prediction, market basket analysis, and CLV modeling to drive business decisions with data.
★ 4.2 (504)

Python Optimization: Solve Operations Research Problems

Python For Data Science
Learn to model and solve complex decision-making problems using Python frameworks like Pyomo and OR-Tools to find optimal solutions for business and engineering challenges.
★ 4.5 (1,982)
Showing 24 of 217 courses