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: Software Development Life Cycle, Software Architecture, Software Design, Web Development, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Python Programming, Software Versioning
Beginner · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Human Resource Strategy, Human Resources, Human Capital, Compensation Management, Resource Management, People Management, Employee Performance Management, Industrial and Organizational Psychology, Labor Law, Employee Engagement
Mixed · Course · 1 - 4 Weeks

Wesleyan University
Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Data Visualization, Model Evaluation, Statistical Methods, Machine Learning, Statistics
Beginner · Specialization · 3 - 6 Months
University of Michigan
Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Classification Algorithms, Feature Engineering, Data Manipulation, Python Programming, Unsupervised Learning, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Database Design, Data Warehousing, Apache Spark, Data Architecture, SQL, Data Transformation, Performance Tuning, Disaster Recovery, Database Management, PySpark, Query Languages, Infrastructure as Code (IaC), Cloud Computing Architecture, Distributed Computing, Scalability, Data Pipelines, Performance Analysis, Root Cause Analysis, Cost Management, Resource Management
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Cloud Storage, Infrastructure As A Service (IaaS), Emerging Technologies, Hybrid Cloud Computing, Virtual Machines, Serverless Computing, Microservices, DevOps
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, R Programming, Data Manipulation, Business Analytics, Data Analysis, Probability & Statistics, Regression Analysis, Time Series Analysis and Forecasting, Case Studies, Decision Tree Learning, Data Structures
Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Storage, Data Architecture, Cloud Computing Architecture, API Gateway, Software Architecture
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Radiology, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Debugging, File I/O, Programming Principles, Maintainability, Software Testing, Program Development, C (Programming Language), Algorithms, Simulations, System Programming, Computer Programming, Data Structures, Software Development, Software Engineering, Command-Line Interface, Operating Systems, Development Environment, User Interface (UI), Problem Solving, Software Design
Beginner · Specialization · 3 - 6 Months

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

Skills you'll gain: Data Pipelines, SQL, Apache Airflow, Extract, Transform, Load, JSON, Pandas (Python Package), Data Manipulation, Data Warehousing, Database Design, Star Schema, Data Transformation, Performance Tuning, Real Time Data, Big Data, Data Validation, Performance Analysis, Data Quality, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months