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
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
Status: Free TrialSkills you'll gain: Statistical Visualization, Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods
Status: Free TrialSkills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Statistical Programming, Data Modeling, Data Analysis Software, Query Languages, Data Manipulation, Data Analysis
Status: Free TrialStatus: AI skillsGoogle
Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Data Structures, Object Oriented Programming (OOP), Interviewing Skills, Applicant Tracking Systems
Status: Free TrialStatus: AI skillsSkills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, Model Evaluation, SQL, Data Transformation, Data Analysis, Statistical Visualization, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming
Status: PreviewThe Hong Kong University of Science and Technology
Skills you'll gain: Statistical Inference, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Model Evaluation, Data Visualization, Data Import/Export
Status: Free TrialSkills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming
Status: PreviewGeorgia Institute of Technology
Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Big Data, Structural Analysis, Statistics
Status: PreviewEindhoven University of Technology
Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
- The Data Scientist’s Toolbox: Johns Hopkins University
- Bayesian Statistics: Duke University
- Introduction to Data Analytics: IBM
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- SQL for Data Science with R: IBM
- Google Data Analytics: Google
- IBM Data Analyst: IBM
- Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
- Databases and SQL for Data Science with Python: IBM
