Applied Data Science Courses
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.
Popular Applied Data Science Courses and Certifications
Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization
University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Data Science, Advanced Analytics, Analytical Skills, Business Solutions, Technical Communication, Process Design, Project Management, Communication, Stakeholder Communications, Machine Learning
University of Colorado System
Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Regression Analysis, Model Evaluation, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Statistical Hypothesis Testing, Advanced Analytics, Machine Learning
Skills you'll gain: Calculus, Integral Calculus, Model Optimization, Mathematical Software, Applied Mathematics, NumPy, Scientific Visualization, Algebra, Numerical Analysis, Applied Machine Learning, Programming Principles, Mathematical Modeling, Machine Learning Methods, Python Programming, Mathematical Theory & Analysis, Graphing, Data Science, Advanced Mathematics, Plot (Graphics), Derivatives
Corporate Finance Institute
Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Statistical Methods, Predictive Analytics, Predictive Modeling, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Business Intelligence, Applied Machine Learning, Machine Learning Methods, Machine Learning, Data Processing, Data Cleansing, Exploratory Data Analysis, Data Preprocessing
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
Skills you'll gain: SQL, Data Cleansing, Jupyter, Data Literacy, Data Mining, Data Manipulation, Data Preprocessing, Business Analytics, Data Wrangling, R (Software), Business Analysis, Database Management, Relational Databases, Stored Procedure, R Programming, Data Science, Big Data, Computer Programming Tools, Cloud Computing, Python Programming
Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis
University of California, Davis
Skills you'll gain: Presentations, Data Presentation, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Modeling, Database Design, Performance Metric, Business Metrics, Analytical Skills, Business Analytics, Text Mining, Data Science, Data Import/Export, Target Audience
Duke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Data Science, Calculus, General Mathematics, Applied Mathematics, Derivatives
John Wiley & Sons
Skills you'll gain: Supervised Learning, Statistical Methods, Exploratory Data Analysis, Data Preprocessing, Model Evaluation, Data Processing, Data Quality, Model Deployment, Data Transformation, Machine Learning Methods, Image Analysis, Statistics, Statistical Machine Learning, Data Science, Data Analysis, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Computer Vision, Machine Learning Algorithms
In summary, here are 10 of our most popular applied data science courses
- Applied Machine Learning: Johns Hopkins University
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- Foundations of Data Science: Google
- Data Science for Marketing: University of Colorado System
- Applied Calculus for Data Science & ML with Python: Packt
- Data Science & Machine Learning Fundamentals: Corporate Finance Institute
- Data Science: Statistics and Machine Learning: Johns Hopkins University
- Introduction to Data Science: IBM
- Data Science Fundamentals, Part 1: Pearson
- SQL for Data Science Capstone Project: University of California, Davis
