Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

University of California, Davis
Skills you'll gain: Peer Review, Language Learning, Spanish Language, Oral Expression, Grammar, Oral Comprehension, Vocabulary, Culture, Writing and Editing, Language Competency, Research, Writing
Beginner · Specialization · 3 - 6 Months

University of Toronto
Skills you'll gain: Relationship Building, Social Skills, Active Listening, Interpersonal Communications, Communication, Empathy, Self-Awareness, Emotional Intelligence, Needs Assessment, Assertiveness, Psychology, Cultural Diversity
Beginner · Course · 1 - 3 Months

Skills you'll gain: Chemistry, Healthcare Ethics, Biology, Materials science, Safety Standards, Biochemistry, Regulatory Compliance, Sustainability Standards, Microbiology, Product Development, Consumer Behaviour
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Plotly, Statistical Reporting, Predictive Modeling, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Data Science, Data Analysis, Classification And Regression Tree (CART), Data-Driven Decision-Making, Pandas (Python Package), Data Wrangling, Data Collection, GitHub
Intermediate · Course · 1 - 3 Months

University of Leeds
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Scientific Visualization, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Seaborn, Python Programming, NumPy, Data Analysis, Data Transformation, Programming Principles, Data Cleansing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Jest (JavaScript Testing Framework), Web Development Tools, Javascript, Unit Testing, Web Applications, Programming Principles, Object Oriented Programming (OOP), Event-Driven Programming, Node.JS, JSON, Computer Programming, Data Structures, Debugging, Package and Software Management, Program Development, Front-End Web Development, Functional Design
Beginner · Course · 1 - 3 Months

Skills you'll gain: Git (Version Control System), GitHub, Version Control, Infrastructure as Code (IaC), Debugging, Bash (Scripting Language), Test Automation, Puppet (Configuration Management Tool), Infrastructure As A Service (IaaS), Cloud Services, Technical Communication, Web Services, Email Automation, Automation, Python Programming, Interviewing Skills, Applicant Tracking Systems, Configuration Management, Program Development, Programming Principles
Advanced · Professional Certificate · 3 - 6 Months

Coursera
Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts
Beginner · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming
Beginner · Course · 1 - 4 Weeks