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: SAS (Software), Data Analysis, Requirements Analysis, Exploratory Data Analysis, Statistical Programming, Data Manipulation, Data Cleansing, Data Transformation, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis
Intermediate · Course · 1 - 3 Months

University of California, Davis
Skills you'll gain: SQL, Data Manipulation, Data Analysis, Business Analytics, Query Languages, Databases, Relational Databases, Data Management, Data Modeling, Data Integration
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Logistic Regression, Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Model Evaluation, Statistical Analysis, Data Analysis, Model Deployment, Statistical Methods
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Visualization, NumPy, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Operational Excellence, Process Improvement, Stakeholder Management, Quality Improvement, Quality Management, Organizational Strategy, Continuous Improvement Process, Process Analysis, Root Cause Analysis, Data Analysis
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Software Design, Computational Logic, Computer Programming
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Version Control, GitHub, Git (Version Control System), Data Transformation, Data Science, Data Analysis, R (Software), Data Processing, R Programming, Rmarkdown, Software Installation, Command-Line Interface
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Predictive Modeling, Data Ethics, Algorithms, Machine Learning, Predictive Analytics, Responsible AI, Artificial Intelligence, Machine Learning Algorithms, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Generative AI, Economics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation
Beginner · Guided Project · Less Than 2 Hours