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.

Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

California Institute of the Arts
Skills you'll gain: Game Design, Video Game Development, Storytelling, Software Design Documents, Ideation, Storyboarding, Writing, Creativity
Beginner · Course · 1 - 4 Weeks

University of London
Skills you'll gain: Learning Theory, Teaching, Human Learning, Pedagogy, Education and Training, Higher Education, Social Sciences, Policy Analysis
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Wesleyan University
Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Exploratory Data Analysis, SAS (Software), Statistical Programming, Predictive Modeling, Model Evaluation, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Music, Media Production, Creativity, Digital Signal Processing, Editing, File Management, System Configuration
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Responsible AI, AI Enablement, Generative AI, Strategic Thinking, Data Ethics, Artificial Intelligence, Workforce Development, Digital Transformation, Employee Engagement
Beginner · Course · 1 - 4 Weeks

The University of Melbourne
Skills you'll gain: Molecular Biology, Life Sciences, Oncology, Environment, Cell Biology, Biology, Medical Science and Research, Research Design, Nutrition and Diet
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms
Advanced · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Preprocessing, Data Processing, Extract, Transform, Load, Predictive Modeling, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Good Clinical Practices (GCP), Informed Consent, Institutional Review Board (IRB), Clinical Research Ethics, Clinical Research Coordination, Clinical Research, Clinical Trials, Clinical Data Management, Drug Development, Patient Education And Counseling, Record Keeping, Clinical Documentation, Regulatory Compliance, Document Management, Health Equity, Electronic Medical Record, Patient Communication, Risk Management
Beginner · Specialization · 1 - 3 Months