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: 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: Microsoft Excel, Excel Formulas, Spreadsheet Software, Power BI, Data Analysis, Timelines, Data Management, Data Entry, Data Presentation
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 California, Irvine
Skills you'll gain: Social Media Analytics, Analytical Skills, Data Ethics, Predictive Modeling, Model Evaluation, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Regression Analysis, Data Mining, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Advanced Analytics, Big Data, Analytics, Supervised Learning
Princeton University
Skills you'll gain: Data Structures, Algorithms, Graph Theory, Java, Performance Testing, Java Programming, Computational Thinking, Memory Management, Spatial Data Analysis
University of Colorado Boulder
Skills you'll gain: Exercise Science, Physiology, Nutrition and Diet, Behavioral Health, Human Musculoskeletal System, Health Assessment, Pharmacology, Public Health and Disease Prevention, Immunology, Preventative Care, Respiration, Nutritional Assessment, Endocrinology, Chronic Diseases, Vital Signs, Biochemistry, Public Health
Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Plot (Graphics), Data Preprocessing, Statistical Methods, Seaborn, Data Science, Data Visualization Software, Data Manipulation, Data Processing, Data Cleansing, Data Analysis, Probability & Statistics, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Science and Research, Data Processing, Data Analysis, Computer Science, Correlation Analysis, Biotechnology, Statistical Analysis, Computational Thinking, Life Sciences, Probability & Statistics, Statistics, Software Engineering, Algorithms, Biology
Johns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Data Presentation, Descriptive Statistics, Analytics, Descriptive Analytics, Research Methodologies, Statistics, Analytical Skills, Quantitative Research, Statistical Methods, Probability & Statistics
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Analysis, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, R (Software), Statistical Programming, Predictive Modeling, Predictive Analytics, Probability & Statistics, Advanced Analytics, Data Modeling, General Science and Research
In summary, here are 10 of our most popular statistics for data science courses
- Fundamentals of Computing: Rice University
- Data Analysis and Visualization Foundations: IBM
- Preparing Data for Analysis with Microsoft Excel: Microsoft
- Data Engineering Foundations: IBM
- Materials Science: 10 Things Every Engineer Should Know: University of California, Davis
- Data Science Fundamentals: University of California, Irvine
- Algorithms, Part I: Princeton University
- Science of Exercise: University of Colorado Boulder
- Python for Data Science: Fractal Analytics
- Introduction to Genomic Technologies: Johns Hopkins University
