Python for Data Analysis courses can help you learn data manipulation, statistical analysis, data visualization, and data cleaning techniques. You can build skills in using libraries like Pandas for data handling, NumPy for numerical data processing, and Matplotlib or Seaborn for creating informative graphs. Many courses also cover practical applications such as exploratory data analysis and predictive modeling, allowing you to apply your skills to real datasets and derive actionable insights.

Skills you'll gain: Data Visualization Software, Data Modeling, Dashboard, Data Literacy, Interactive Data Visualization, Data Presentation, Data Processing, Data Storytelling, Data Transformation, Data Preprocessing, Data Integration, Data Cleansing, Business Intelligence, Data Import/Export, Data Analysis, Data Quality, Key Performance Indicators (KPIs)
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Data Wrangling, Data Manipulation, Data Transformation, Tidyverse (R Package), Data Cleansing, Data Preprocessing, R Programming, Data Structures
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Dashboard, Tableau Software, Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Business Intelligence, Data Analysis, AI Personalization, Performance Analysis, Advanced Analytics, Analytics, Analytical Skills, Business Metrics
Beginner · Course · 1 - 3 Months
Skills you'll gain: Data Visualization Software, Tableau Software, Financial Modeling, Business Process, Peer Review, Presentations, Property Management, Data Analysis, MySQL, Risk Analysis, Real Estate, Financial Analysis, Microsoft Excel, Profit and Loss (P&L) Management, Analytics, SQL
Mixed · Course · 1 - 3 Months
Skills you'll gain: Data Pipelines, Apache Kafka, Operational Databases, Continuous Monitoring, Real Time Data, Data Integrity, Data Warehousing, Data Modeling, Software Versioning, Continuous Integration, Data Validation, Automation, Warehouse Management, Automation Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Data Processing, Management Reporting, Data Wrangling, Business Analytics, Data Cleansing, Data Analysis, Data Transformation, Statistical Analysis, Data Management, Descriptive Statistics, Linear Algebra
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Exploratory Data Analysis, Data Visualization Software, Dashboard, Interactive Data Visualization, Data Analysis, Google Analytics, Data Integration
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Splunk, Scripting, Servers, Data Pipelines, Windows Servers, Network Troubleshooting, System Monitoring, Performance Tuning, Systems Administration, Data Infrastructure, Configuration Management, Microsoft Windows
Mixed · Course · 1 - 3 Months
University of Colorado Boulder
Skills you'll gain: Model Evaluation, Data Mining, Unsupervised Learning, Supervised Learning, Service Level, Dimensionality Reduction, Deep Learning, Statistical Modeling, Applied Machine Learning, Anomaly Detection, Machine Learning Algorithms, Probability, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Data Warehousing, Recurrent Neural Networks (RNNs), Performance Testing, Bash (Scripting Language), Data Science
Credit offered
Graduate Certificate · 6 - 12 Months

Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Customer Success Management, Generative AI Agents, Customer Service, AI Enablement, Customer Support, Customer experience improvement, AI Personalization, Customer Engagement, Personalized Service, Data Ethics, Automation, Business Ethics, Information Privacy, Systems Integration
Intermediate · Course · 1 - 4 Weeks