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: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Project Scoping, Business Priorities, Business Analysis, Case Studies, Stakeholder Management, Project Design, Business, Data Science, Business Process, Data-Driven Decision-Making, Data Literacy
Intermediate · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Presentations, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Modeling, Performance Metric, Business Analytics, Text Mining, Data Science, Target Audience, Data Manipulation, Proposal Development
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Web Scraping, SQL, Data Visualization Software, Pandas (Python Package), NumPy, Data Analysis, Databases, Data Manipulation, Python Programming, Data Processing, Jupyter, Data Wrangling, Data Cleansing, Data Structures
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
Beginner · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data
Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Preprocessing, Data Structures, Data Cleansing, Data Visualization Software, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Large Language Modeling, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, PyTorch (Machine Learning Library), Big Data, Transfer Learning, Text Mining, Model Evaluation, Natural Language Processing, Unstructured Data, Machine Learning, Scalability, Unsupervised Learning, Supervised Learning
Mixed · Course · 1 - 3 Months

Packt
Skills you'll gain: Data Mining, Logistic Regression, Model Evaluation
Intermediate · Course · 1 - 3 Months
CertNexus
Skills you'll gain: Machine Learning, Data Storytelling, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Model Deployment, Project Closure, Data-Driven Decision-Making, Data Visualization, Data Science, Communication, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Apache Spark, Power BI, Data Visualization Software, Big Data, Distributed Computing, Databricks, Dashboard, SQL, Data Processing, Query Languages, Data Transformation, Performance Tuning, Performance Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Geospatial Mapping, Interactive Data Visualization, R Programming, Data Collection, Data Manipulation, Data Science, Data Integration, Data Analysis, Application Programming Interface (API)
Beginner · Course · 1 - 3 Months