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 TrialSkills you'll gain: Microsoft Excel, Analytical Skills, Spreadsheet Software, Dashboard, Data Analysis, IBM Cognos Analytics, Pivot Tables And Charts, Data Visualization, Data Presentation, Exploratory Data Analysis, Data Visualization Software, Data Cleansing
Status: Free TrialUniversity of Maryland, College Park
Skills you'll gain: Statistical Analysis, Data Analysis Software, STATA (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Logistic Regression, Informed Consent
Status: Free TrialUniversity of Michigan
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation
Status: Free TrialSkills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Management, Stored Procedure, IBM DB2, Data Manipulation, Data Analysis, Transaction Processing
Status: PreviewSkills you'll gain: Logistic Regression, SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Model Evaluation
Status: FreePrinceton University
Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, GitHub, Git (Version Control System), Software Documentation
Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Python Programming, Computer Science, Program Development
Status: Free TrialDuke University
Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Virtual Environment
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Data Structures, Algorithms, Data Storage, Programming Principles, Computer Programming, C++ (Programming Language), Java Programming, Java, File Management
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Assessment for Data Analysis and Visualization Foundations: IBM
- Combining and Analyzing Complex Data: University of Maryland, College Park
- Moneyball and Beyond: University of Michigan
- SQL: A Practical Introduction for Querying Databases: IBM
- Statistics with SAS: SAS
- Algorithms, Part I: Princeton University
- Reproducible Research: Johns Hopkins University
- Analyze Box Office Data with Seaborn and Python: Coursera
- SAS Certification Practice Exams: SAS
- Mathematical Thinking in Computer Science: University of California San Diego
