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
Skills you'll gain: Google Docs, Document Management, Productivity Software, Writing, Business Writing, File Management, Personal Development
Status: Free TrialSkills you'll gain: SAS (Software), Data Quality, Data Analysis, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Interactive Data Visualization, Data Access, Data Preprocessing, Business Reporting, Business Analysis, Statistical Programming
Status: Free TrialTableau Learning Partner
Skills you'll gain: Data Literacy, Tableau Software, Business Analysis, Business Process, Analytics, Business Analytics, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Project Management, Data Presentation, Descriptive Analytics, Predictive Analytics
Skills you'll gain: Timelines, Project Documentation, Team Management, Stakeholder Management, Project Management, Project Management Software, Project Schedules, Project Scoping, Work Breakdown Structure, Project Planning
Status: Free TrialUniversity of London
Skills you'll gain: MongoDB, JavaScript Frameworks, Web Development Tools, Web Applications, Authentications, Web Development, Database Application, User Accounts, Application Security, Package and Software Management, Javascript, Software Installation
Status: FreeUniversity of Alberta
Skills you'll gain: Anthropology, Anatomy, Physiology, Life Sciences, Sustainable Development, Environment and Resource Management, Environmental Science, Biology, Cultural Diversity, Microbiology, Public Health and Disease Prevention, Taxonomy, Criminal Investigation and Forensics
Status: PreviewJohns Hopkins University
Skills you'll gain: GitHub, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), Ubuntu, Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Scripting Languages, Programming Principles, File Management
Status: PreviewDuke University
Skills you'll gain: Music, Music Theory, Aesthetics, World Music, Cultural Diversity, Psychology, Physiology, Biology
Status: PreviewUniversity of Pennsylvania
Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Data Analysis, Quantitative Research, Regression Analysis, Research Design, Graph Theory
Status: Free TrialUniversity of California, Irvine
Skills you'll gain: Grammar, English Language, Oral Comprehension, Language Learning
Status: Free TrialGoogle Cloud
Skills you'll gain: Dataflow, Real Time Data, Data Pipelines, Google Cloud Platform, Ad Hoc Analysis, Big Data, Data Processing, Advanced Analytics, SQL, Scalability, Performance Tuning
Status: PreviewNational Taiwan University
Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms
In summary, here are 10 of our most popular statistics for data science courses
- Create a Resume and Cover Letter with Google Docs: Coursera
- Getting Started with SAS Visual Analytics : SAS
- Introduction to Business Analytics: Tableau Learning Partner
- Introduction to Project Management: Coursera
- Introduction to Meteor.js Development : University of London
- Bugs 101: Insect-Human Interactions: University of Alberta
- The Unix Workbench: Johns Hopkins University
- Music as Biology: What We Like to Hear and Why: Duke University
- A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania
- Consonants of American English Pronunciation: University of California, Irvine
