Statistics For Data Science Courses
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.
Popular Statistics For Data Science Courses and Certifications
Rice University
Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Theoretical Computer Science, Probability, Video Game Development, Bioinformatics, Interactive Design, Animation and Game Design, Python Programming, Data Analysis, User Interface (UI), Computer Science, Computer Programming
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Power BI, Data Analysis, Timelines, Data Management, Data Entry, Data Presentation
Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Dashboard, Big Data, Data Visualization, Microsoft Excel, Data Analysis, IBM Cognos Analytics, Statistical Visualization, Apache Hadoop, Statistical Analysis, Analytical Skills, Dashboard Creation, Excel Formulas, Data Cleansing, Pivot Tables And Charts, Spreadsheet Software
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Data Store, Data Architecture, Relational Databases, Database Systems, Apache Hadoop, Databases, Big Data, Unit Testing, Database Development, Data Storage, Operational Databases, Data Import/Export, Python Programming, NumPy
University of California, Davis
Skills you'll gain: Materials science, Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Structural Analysis, Engineering Analysis, Electrical Engineering, Thermal Management, Mechanics, Electronics
University of Colorado Boulder
Skills you'll gain: Data Governance, Data Management, Business Analytics, Analytics, Data Quality, Data Ethics, Data Analysis, Data Warehousing, Big Data, Information Systems, Data Storage Technologies, Databases, Organizational Structure, Data-Driven Decision-Making, Data Access, Relational Databases, SQL, Data Storage, Organizational Effectiveness, Cloud Computing
University of Illinois Urbana-Champaign
Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Dashboard, Tableau Software, Plot (Graphics), Dashboard Creation, Natural Language Processing, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Data-Driven Decision-Making, Analytics, Data Analysis, Statistical Machine Learning
Yale University
Skills you'll gain: Positivity, Habit Formation, Mental Health, Goal Setting, Stress Management, Compassion, Psychology, Mindfulness
Duke University
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Wrangling, NumPy, File I/O, Query Languages, Data Transformation, Data Integration, Python Programming, Data Analysis, Debugging
Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Descriptive Analytics, Time Series Analysis and Forecasting, Regression Analysis
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data
University of California San Diego
Skills you'll gain: Data Structures, Algorithms, Data Storage, Graph Theory, Computer Programming, C++ (Programming Language), Java Programming, Java
In summary, here are 10 of our most popular statistics for data science courses
- Fundamentals of Computing: Rice University
- Preparing Data for Analysis with Microsoft Excel: Microsoft
- Data Analysis and Visualization Foundations: IBM
- Data Engineering Foundations: IBM
- Materials Science: 10 Things Every Engineer Should Know: University of California, Davis
- Introduction to Data Analytics for Business: University of Colorado Boulder
- Data Mining: University of Illinois Urbana-Champaign
- The Science of Well-Being for Teens: Yale University
- Pandas for Data Science: Duke University
- Statistics Foundations: Meta
