Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.

Simplilearn
Skills you'll gain: Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Analytical Skills, Plot (Graphics), Data Analysis, Data Visualization Software, Analysis, Data-Driven Decision-Making, Scripting, Analytics, Numerical Analysis, Data Manipulation, Graphing, Product Automation, Data Processing, Programming Principles, Data Validation
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Structures, Code Reusability, Jupyter, Python Programming, Programming Principles, Scripting, File I/O, Computational Logic, Computer Programming, Data Manipulation, Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Package and Software Management, Data Science, Exploratory Data Analysis, Computer Programming, Mathematical Software, Data Structures
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Data Visualization Software, Python Programming, NumPy, Statistics, Data Analysis, Git (Version Control System), Collaborative Software, AI Workflows, Data Transformation
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Data Presentation, Probability & Statistics, Data Transformation, Analytics, Statistics, Data Visualization Software, Statistical Analysis, Data Cleansing, Advanced Analytics, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Data Processing, Programming Principles, Computer Programming, Analytics, Analytical Skills, Scripting
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Intermediate · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Wrangling, NumPy, File I/O, Query Languages, Data Transformation, Data Integration, Python Programming, Data Analysis, Debugging
Beginner · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Data Processing, Data Manipulation, Data Dictionary, Data Wrangling, File I/O, Data Structures, Scripting, Data Import/Export, Scripting Languages, Data Analysis, Python Programming, Data Mapping, Data Storage, Data Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Presentation, Data Analysis, Probability Distribution, Statistics, Statistical Methods, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Statistical Modeling, Descriptive Analytics, Statistical Inference, Correlation Analysis, Probability
Mixed · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Data Analysis, Analytics, Exploratory Data Analysis, Data Manipulation, Jupyter, Data Processing, Data Wrangling, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning
Intermediate · Specialization · 3 - 6 Months