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.

Macquarie University
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Data Preprocessing, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation
Intermediate · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Business Intelligence, Decision Support Systems, Data Modeling, Database Management Systems, Data Visualization, Database Management, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Oracle Databases, Data Integration, Performance Measurement, MicroStrategy, Extract, Transform, Load, Business Analytics
Advanced · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export
Beginner · Course · 1 - 4 Weeks
University of London
Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Biostatistics, Statistical Visualization, Epidemiology, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Public Health, Sample Size Determination
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Augmented and Virtual Reality (AR/VR), Machine Learning, Context Management
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Generative AI, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, Predictive Modeling, Prompt Engineering, AI Enablement, Responsible AI, Data Visualization, Data Presentation, Data Science, Data Synthesis, Data Preprocessing, Data Analysis, Data Manipulation, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

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

University of Washington
Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Statistical Machine Learning, Model Evaluation, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Python Programming
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Data Manipulation, Data Cleansing, Data Integration, Data Preprocessing, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, MySQL, Application Programming Interface (API)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming
Beginner · Guided Project · Less Than 2 Hours