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.

Skills you'll gain: Database Design, Relational Databases, Databases, SQL, Big Data, Database Systems, Database Management Systems, NoSQL, Operational Databases, Data Warehousing, Data Management, Virtual Machines, Data Storage, Data Analysis, Unstructured Data
★ 4.7 (1.1K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Tableau Software, Dashboard, Data Visualization Software, Data Visualization, R Programming, Alteryx, R (Software), Statistical Programming, Data Presentation, Data Literacy, Statistical Visualization, Interactive Data Visualization, Data Cleansing, Dashboard Creation, Plot (Graphics), Data Storytelling, Data Analysis Software, Data Structures, Statistical Analysis, Workflow Management
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Warehousing, MongoDB, IBM Cognos Analytics, Extract, Transform, Load, NoSQL, Apache Spark, IBM DB2, Big Data, Dashboard Creation, Data Integration, Dashboard, Business Intelligence, Database Architecture and Administration, PySpark, Data Pipelines, Analytics, Databases, Relational Databases, SQL, Python Programming
★ 4.7 (143) · Advanced · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Processing, Data Collection, Data Preprocessing, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Data Pipelines, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Quality Assurance, Statistical Analysis, Descriptive Statistics, Data Mining
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Plot (Graphics), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Data Analysis, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Scripting Languages, Data Transformation
★ 5 (8) · Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Javascript and jQuery, jQuery, Data Validation, Javascript, Event-Driven Programming, Application Programming Interface (API), Object Oriented Programming (OOP)
★ 4.8 (69) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Instrumental Music, Music, Musical Composition, Music Performance, Media Production, Post-Production
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression
★ 5 (7) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Plotly, Data Visualization, Statistical Visualization, Box Plots, Interactive Data Visualization, Histogram, Statistical Analysis, Data Analysis, Probability
★ 4.9 (10) · Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Data Flow Diagrams (DFDs), Diagram Design, Data Mapping, Data Pipelines, Data Visualization, Dataflow, Technical Communication, Data Store, Data Transformation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Design Thinking, Market Opportunities, Data Integration, Data Engineering, Data Science, Analytical Skills, Data Pipelines, Data Validation, Extract, Transform, Load, Data Processing, Workflow Management, Process Modeling, Data Cleansing, Data Quality, Data Collection, Business Priorities, NumPy, Machine Learning, Python Programming
★ 4.3 (189) · Intermediate · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Social Network Analysis, Network Analysis, Network Routing, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies
★ 4.8 (6K) · Intermediate · Specialization · 3 - 6 Months