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.

DeepLearning.AI
Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, LinkedIn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics
Beginner · Professional Certificate · 3 - 6 Months

Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Dashboard, Data Warehousing, SQL, Data Presentation, Data Visualization, Interactive Data Visualization, Data Security, Data Migration, Database Design, Data Governance, MySQL, Data Store, Data Management, Relational Databases, Databases, Exploratory Data Analysis, Data Architecture, Excel Formulas, Business Intelligence
Beginner · Professional Certificate · 3 - 6 Months

Tableau Learning Partner
Skills you'll gain: Tableau Software, Interactive Data Visualization, Data Visualization Software, Dashboard, Business Analytics, Business Intelligence, Data Preprocessing, Data Integration, Data Cleansing, Data Manipulation, Performance Tuning
Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Plotly, Exploratory Data Analysis, Model Evaluation, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Applied Machine Learning, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Data Collection, Machine Learning, GitHub
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
Beginner · Course · 1 - 3 Months

Fractal Analytics
Skills you'll gain: Database Design, Data Manipulation, SQL, Relational Databases, Database Management, Data Analysis, Data Cleansing, Databases, Query Languages, Data Transformation, MySQL Workbench, Data Integrity
Beginner · Course · 1 - 3 Months

Skills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Processing, Data Analysis, Data Manipulation, Data Presentation, Data Cleansing
Beginner · Course · 1 - 4 Weeks
Rice University
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Cloud Services, Cloud Deployment, Apache Hadoop, Apache Hive, Application Programming Interface (API), Jupyter, Data Storage, Data Architecture, Data Quality, Advanced Analytics, Ad Hoc Analysis, Serverless Computing, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months

Rice University
Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Pseudocode, Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Theoretical Computer Science, Computer Programming
Beginner · Specialization · 3 - 6 Months