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.

Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Data Quality, Data Validation, Configuration Management, Enterprise Security
Beginner · Course · 1 - 3 Months

Skills you'll gain: Microsoft Copilot, Data Quality, Anomaly Detection, Generative Adversarial Networks (GANs), Data Ethics, Generative AI, Data Pipelines, Data Cleansing, Data Preprocessing, Data Synthesis, Data Validation, Responsible AI, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Application Development, Application Design, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Pandas (Python Package), Data Import/Export, Data Visualization Software, Data Visualization, Microsoft Excel, NumPy, Time Series Analysis and Forecasting, Data Analysis, Data Manipulation
Advanced · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Data Governance, Accounting, Data Management, Internal Controls, Internal Auditing, Control Objectives for Information and Related Technology (COBIT), Auditing, Financial Auditing, Fraud detection, Data Quality, Accounting Software, Data Integrity, Pandas (Python Package), Emerging Technologies, Data Analysis, Analytics, Automation, GitHub, Python Programming, Natural Language Processing
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation
Intermediate · Specialization · 3 - 6 Months

Pragmatic AI Labs
Skills you'll gain: Data Pipelines, Extract, Transform, Load, Data Lakes, Databricks, Data Architecture, Data Processing, Data Wrangling, Data Strategy, Data Presentation, Data Mining, Data Management, Data Governance, Data Integrity, Data Science, Live Streaming, SQL, Data Storage, Data Ethics, Data Security, Apache
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Prompt Engineering, Data Processing, Microsoft Excel, Data Manipulation, Microsoft Copilot, Data Preprocessing, Data Quality, Data Transformation, Data Integrity, Data Validation, Data-Driven Decision-Making, Excel Formulas, Data Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Channel, Marketing Budgets, Customer Insights, Sales Process, Regression Analysis, Forecasting, Data Analysis, Return On Investment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Applied Machine Learning, Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Model Evaluation, Probability Distribution, Data Science, Logistic Regression, Markov Model, Statistics, Statistical Methods, Simulations, Python Programming
Beginner · Specialization · 1 - 3 Months