Data Analysis with Python courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with datasets, interpreting results, and communicating findings effectively. Many courses introduce tools like Pandas for data handling, Matplotlib and Seaborn for visualization, and Scikit-learn for implementing machine learning algorithms. These skills and tools empower you to analyze complex data sets and derive actionable insights across various domains.

Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Beginner · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Javascript, Interactive Design, HTML and CSS, Web Design and Development, Web Content Accessibility Guidelines, Event-Driven Programming, User Interface (UI), Web Development, Data Structures, Debugging, Data Validation
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Data Modeling, Data Transformation, Data Warehousing, Data Preprocessing, Apache Hadoop, Data Pipelines, Apache Spark, Feature Engineering, Star Schema, Real Time Data, Data Access, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Banco Interamericano de Desarrollo
Skills you'll gain: Data Storytelling, Data Visualization, Data Governance, Process Improvement, Data Strategy, Process Mapping, Data-Driven Decision-Making, Performance Improvement, Data Visualization Software, Organizational Effectiveness, Organizational Leadership, Business Leadership, Strategic Decision-Making, Leadership, Change Management
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Data Integration, Extract, Transform, Load, Metadata Management, Amazon Redshift, Amazon Web Services, Data Pipelines, Data Warehousing, Amazon S3, Automation, Cloud-Native Computing, Data Transformation, Serverless Computing, Process Optimization, System Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Extract, Transform, Load, Metadata Management, Data Integration, Data Pipelines, Databases, Data Processing, Java, Data Warehousing, File Management, Data Import/Export, Data Migration, Data Manipulation, Data Mapping, Scalability, Data Transformation, Software Documentation, Software Installation, Context Management, Data Storage Technologies, Debugging
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Dataflow, Data Pipelines, Real Time Data, Data Lakes, Data Governance, Google Cloud Platform, Data Import/Export, Workflow Management, Extract, Transform, Load, Data Transformation, PySpark, Apache Kafka, Tensorflow, Metadata Management, Apache Spark, Dashboard, Apache Airflow, Big Data, Unstructured Data
Intermediate · Specialization · 3 - 6 Months

University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
Beginner · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Data Warehousing, Extract, Transform, Load, Data Integration, Data Modeling, Star Schema, Data Governance, Database Design, Snowflake Schema, SQL, Relational Databases, Data Mining, Data Quality, Data Analysis
Mixed · Course · 1 - 3 Months

Ludwig-Maximilians-Universität München (LMU)
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Wrangling, Database Software, File I/O, Python Programming
Intermediate · Guided Project · Less Than 2 Hours