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: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Presentation, Data-Driven Decision-Making, Data Visualization, Interactive Data Visualization, Dashboard, Data Visualization Software, Tableau Software, Data Analysis, Exploratory Data Analysis
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Data Storage Technologies, Microsoft SQL Servers, Data Storage, Data Presentation, Cloud Engineering, Data Architecture, Data Infrastructure, Performance Tuning, Query Languages, Database Design, SQL, NoSQL, Data Processing, Cloud Solutions, Process Optimization, Data Modeling, System Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, Power BI, Data Presentation, Data Visualization Software, Data Storytelling, Data Visualization, Interactive Data Visualization, Advanced Analytics, Data Analysis, Business Intelligence, Statistical Reporting
Beginner · 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

Microsoft
Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Data Literacy, Business Intelligence, Data Processing, Data Collection, Business Analytics, Data Transformation, Data Visualization Software, Data Management
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Storytelling, Data Literacy, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Preprocessing, Data Mining, Exploratory Data Analysis, Data Cleansing, Graphing, Big Data, Programming Principles, Python Programming, NumPy
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Graph Theory, Javascript, Program Development, Programming Principles, Software Design Patterns, Computational Thinking, Debugging, Development Environment, Computer Science, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Apache Kafka, Data Transformation, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, PySpark, Operational Databases, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Data Processing, Data Governance, Scalability, Event-Driven Programming, System Monitoring, Docker (Software)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)
Beginner · Course · 1 - 4 Weeks

Queen Mary University of London
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Data Quality, Probability & Statistics, Statistical Methods, Digital Marketing, Exploratory Data Analysis, Logistic Regression, Market Research, Data Preprocessing, Return On Investment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Pandas (Python Package), NumPy
Mixed · Course · 1 - 4 Weeks