Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Transformation, Data Validation, Analytics, Sample Size Determination, Google Sheets, SQL, Spreadsheet Software
Beginner · Course · 1 - 3 Months

Skills you'll gain: Agile Project Management, Backlogs, Agile Software Development, Agile Methodology, User Story, Sprint Planning, Agile Product Development, Product Roadmaps, Sprint Retrospectives, Coaching, Team Management, Organizational Change, Prioritization, Problem Solving, Influencing
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Statistics, Matplotlib, Statistical Visualization, Statistical Programming, Seaborn, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Python Programming
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Descriptive Analytics, Data Architecture, Data Literacy, Data Pipelines, Databricks, Data Analysis, Complex Problem Solving, JSON
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Transfer Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Machine Learning, Debugging, Model Training, Decision Intelligence, AI Product Strategy, Model Optimization, Model Evaluation, Data-Driven Decision-Making, AI Workflows
Beginner · Course · 1 - 4 Weeks

University of Zurich
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Descriptive Statistics, Statistical Methods, Applied Mathematics, Finance, Correlation Analysis
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Model Training, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Diagram Design, Sampling (Statistics), Persuasive Communication, Verification And Validation, Probability & Statistics, Statistical Inference, Correlation Analysis, Communication, Decision Intelligence, Appeals, Business Communication
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning
Intermediate · Specialization · 1 - 3 Months