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 Colorado Boulder
Skills you'll gain: Basic Electrical Systems, electromagnetics, Mathematical Modeling, Education Software and Technology, Simulations, Physics, Experimentation, Scientific Visualization
Intermediate · Course · 1 - 3 Months

Splunk Inc.
Skills you'll gain: Data Modeling, Splunk, Pivot Tables And Charts, Data Management, Database Management, Query Languages, Data Integration, Performance Tuning, Data Science, Data Analysis, Big Data, Business Intelligence, Business Analytics, Geospatial Information and Technology, Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PHP (Scripting Language), MySQL, WordPress, Web Applications, Application Programming Interface (API), Web Development, Content Management Systems, Restful API, DevOps, Linux, Full-Stack Web Development, Data Store, Command-Line Interface, Back-End Web Development, Server Side, Secure Coding, Scripting, Database Management, SQL, Javascript
Intermediate · Course · 1 - 3 Months

Creo Incubator
Skills you'll gain: Critical Thinking, Critical Thinking and Problem Solving, Analytical Skills, Analysis, Problem Solving, Decision Making, Curiosity, Complex Problem Solving, Research, Strategic Decision-Making, Open Mindset
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Earned Value Management, Performance Metric, Project Controls, Variance Analysis, Scheduling
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Electronic Systems, Simulation and Simulation Software, Electronics Engineering, Electrical Engineering, Telecommunications, Engineering, Scientific, and Technical Instruments, Performance Testing, Electronic Components, Technical Design, Wireless Networks, Engineering Analysis, Network Analysis, Design, Design and Product, Grant Applications, Data Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Pandas (Python Package), Data Import/Export, Data Visualization Software, Data Visualization, Microsoft Excel, NumPy, Time Series Analysis and Forecasting, Data Analysis, Data Manipulation
Advanced · Course · 1 - 3 Months

Queen Mary University of London
Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Collection, Quantitative Research, Research Methodologies, Data Preprocessing, Probability & Statistics, Descriptive Statistics, Data Literacy
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analytical Skills, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Neurology, Statistical Modeling, Statistical Methods
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Digital Transformation, Microsoft Azure, Collaborative Software, Health Technology, Patient Communication, Generative AI, Microsoft Teams, Health Informatics, Healthcare Ethics, Cloud Computing Architecture, Cloud Computing, Artificial Intelligence, Data Security
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Customer Retention, Customer Analysis, Business Metrics, Data Analysis, Performance Metric, Customer Insights, Analysis, Performance Measurement, Trend Analysis, Benchmarking, Key Performance Indicators (KPIs), Pareto Chart, Data-Driven Decision-Making, Customer experience strategy (CX), Descriptive Analytics, Predictive Analytics, Root Cause Analysis, Consumer Behaviour
Intermediate · Course · 1 - 4 Weeks