Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.

Vanderbilt University
Skills you'll gain: SQL, Generative AI, Data Visualization, Database Design, Interactive Data Visualization, Query Languages, Data Capture, Data Analysis, Debugging, ChatGPT, Prompt Engineering, Databases, Data Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Google Cloud Platform, Data Lakes, Data Pipelines, Tensorflow, Dataflow, Data Architecture, Big Data, Data Warehousing, Query Languages, Apache Spark, MLOps (Machine Learning Operations), SQL, Data Management, Unstructured Data, Applied Machine Learning, Data Processing, Apache Hadoop, Real Time Data, Extract, Transform, Load
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: SQL, Data Manipulation, Relational Databases, Database Design, Databases, Data Integrity, Database Management Systems, Debugging, Data Management
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Splunk, Lightweight Directory Access Protocols, System Monitoring, Scripting, Dashboard, Business Intelligence, Scatter Plots, Pivot Tables And Charts, Servers, Data Visualization Software, Data-Driven Decision-Making, Software Installation, Role-Based Access Control (RBAC), Data Analysis Expressions (DAX), Data Pipelines, Authentications, Unstructured Data, Data Visualization, Windows Servers, Network Troubleshooting
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Business Analytics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Data Visualization, Tableau Software, Spatial Analysis, Visualization (Computer Graphics), Statistical Visualization, Network Model, Dashboard, Matplotlib, Infographics, Heat Maps, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Jupyter, Data Wrangling, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, Data Cleansing, Data Preprocessing, Analytics, Data Processing, Management Reporting, Business Analytics, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming
Beginner · Course · 1 - 4 Weeks

University at Buffalo
Skills you'll gain: Process Mapping, Data Collection, Process Improvement, Business Process, Process Analysis, Data-Driven Decision-Making, Performance Measurement, Data Validation, Business Process Modeling, Business Analytics, Operational Performance Management, Gap Analysis, Organizational Strategy, Key Performance Indicators (KPIs), Internet Of Things, Data Integrity
Beginner · 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, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Data Preprocessing, Bayesian Statistics, Model Evaluation, Automation
Intermediate · Specialization · 3 - 6 Months