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.

University of California San Diego
Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming
Mixed · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing
Mixed · Course · 1 - 4 Weeks
SAS
Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Data Transformation, Requirements Analysis, Statistical Programming, Exploratory Data Analysis, Data Validation, Data Cleansing, Statistical Analysis, Descriptive Statistics, Data Processing, Data Integration, SQL, Computer Programming, Data Presentation, Debugging
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

University of Toronto
Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Feature Engineering, Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Keras (Neural Network Library), Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Data Strategy, OpenAI, Cloud Computing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Data Science, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Validation, Data Analysis Software, Data Analysis, Statistical Analysis, Financial Analysis, Data Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Fraud detection, Web Services, Simple Object Access Protocol (SOAP), Service Oriented Architecture, Service Design, Verification And Validation, Process Design, API Design, Software Design, Workflow Management, System Testing, Extensible Markup Language (XML), Data Validation, Software Testing, Transaction Processing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months