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 Minnesota
Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Data Validation, Exploratory Data Analysis, A/B Testing, Analysis, User Feedback, Predictive Modeling
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Redis, Data Persistence, NoSQL, Data Store, Operational Databases, Performance Tuning, Transaction Processing, Key Management, Server Administration, Data Structures, Data Storage, Real Time Data, Data Management, Event-Driven Programming, Scalability, Data Manipulation, Big Data, Query Languages, Data Modeling, Scripting
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health
Beginner · Specialization · 3 - 6 Months

University of Virginia
Skills you'll gain: Continuous Delivery, DevOps, Continuous Deployment, CI/CD, Continuous Integration, Test Automation, Agile Methodology, Automation, Continuous Improvement Process, Unit Testing, Information Technology Operations, Systems Administration, System Support, System Testing, Software Testing
Beginner · Course · 1 - 4 Weeks

Columbia University
Skills you'll gain: Construction Estimating, Cost Estimation, Punch Work, Bidding, Cost Control, Project Closure, Lean Methodologies, Project Estimation, Cash Flow Forecasting, Request For Quotation (RFQ), Earned Value Management, Procurement, Request for Proposal, Change Orders, Building Information Modeling
Beginner · Course · 3 - 6 Months

Microsoft
Skills you'll gain: Cloud Security, Health Care, Identity and Access Management, Real Time Data, Clinical Informatics, Data Management, Microsoft Azure, Data Sharing, Clinical Data Management, Clinical Monitoring, Health Technology, Image Analysis, Data Visualization Software, Patient Communication, Generative AI, Microsoft Teams, Machine Learning, Role-Based Access Control (RBAC), Health Informatics, Healthcare Ethics
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Dashboard, Marketing Analytics, Performance Analysis, Business Intelligence, Performance Measurement, Marketing Effectiveness, Web Analytics, Interactive Data Visualization, Marketing Strategies, Business Marketing, Customer Analysis, Data Storytelling, Data Presentation, Data Analysis, Customer Insights, Process Improvement and Optimization, Performance Improvement, Gap Analysis, Analytics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Customer Retention, Customer Insights, Statistical Methods, Statistical Analysis, R Programming, Trend Analysis, Data Analysis, Performance Metric, Business Metrics, Statistical Software, Analytics, Customer Engagement
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Feature Engineering, Digital Signal Processing, Data Transformation, Model Evaluation, Time Series Analysis and Forecasting, Data Pipelines, Data Manipulation, Data Wrangling, System Design and Implementation, NumPy
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Hadoop, Apache Hive, Extract, Transform, Load, Data Import/Export, Data Pipelines, Big Data, Data Migration, Data Integration, MySQL, Data Processing, SQL, Analytics, Data Manipulation, Database Management, Relational Databases, Data Architecture, Data Quality, Software Installation, Scalability, Performance Tuning
Beginner · Specialization · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution
Intermediate · Specialization · 3 - 6 Months