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, Davis
Skills you'll gain: ArcGIS, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Geospatial Information and Technology, Geospatial Mapping, Public Health and Disease Prevention, Data Sharing, Public Health, Land Management, Heat Maps, Epidemiology, Community Health, Image Analysis, Project Management, Data Visualization Software, Data Quality
Beginner · Specialization · 3 - 6 Months

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

Coursera
Skills you'll gain: Star Schema, Data Warehousing, Database Design, Analytics, Data Mart, Data Modeling, Business Intelligence, Data Integrity, Data Transformation, Performance Tuning, Data Quality, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Machine Learning, Object Oriented Programming (OOP), Apache
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Responsible AI, Large Language Modeling, Data Ethics, Machine Learning, Applied Machine Learning, Artificial Intelligence, Supervised Learning, Predictive Modeling, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Reinforcement Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation
Beginner · Course · 1 - 4 Weeks

Universitat Politècnica de València
Skills you'll gain: Pandas (Python Package), Matplotlib, Seaborn, Data Visualization, Data Visualization Software, Time Series Analysis and Forecasting, Statistical Visualization, Box Plots, Statistical Analysis, Exploratory Data Analysis, Data Analysis, Data Manipulation, Scatter Plots, Histogram, Data Structures, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, AI Enablement, AI Personalization, Generative AI, Email Automation, LLM Application, Data Analysis, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning
Beginner · Specialization · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Visualization, Data Preprocessing, Technical Documentation, Datamaps, Visualization (Computer Graphics), Unit Testing, Data Cleansing, Interactive Data Visualization, Object Oriented Programming (OOP), Debugging
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Regression Analysis, Unsupervised Learning
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: SAS (Software), Data Import/Export, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Data Analysis, Data Transformation, SQL, Microsoft Excel, Descriptive Statistics
Beginner · Course · 1 - 3 Months