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: PreviewUniversitat Autònoma de Barcelona
Skills you'll gain: Lecturing, English Language, Verbal Communication Skills, Higher Education, Language Learning, Professional Development, Collaboration, Vocabulary, Train The Trainer, Grammar
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: PreviewSkills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
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
Status: Free TrialUniversity of California, Irvine
Skills you'll gain: Grammar, English Language, Oral Comprehension, Language Learning
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: Free TrialUniversity of Michigan
Skills you'll gain: Financial Modeling, Market Data, Financial Analysis, Cash Flows, Loans, Financial Statements, Finance, Portfolio Risk, Risk Management, General Finance, Portfolio Management, Business Valuation, Corporate Finance, Capital Budgeting, Securities (Finance), Mortgage Loans, Risk Analysis, Equities, Investments, Microsoft Excel
Status: Free TrialSkills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation
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
Skills you'll gain: Google Docs, Document Management, Productivity Software, Writing, Business Writing, File Management, Personal Development
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Package and Software Management, Data Import/Export, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Data Structures, Software Engineering
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- English for Teaching Purposes: Universitat Autònoma de Barcelona
- Introduction to Business Analytics: Tableau Learning Partner
- Introduction to Project Management: Coursera
- Machine Learning Introduction for Everyone: IBM
- 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Consonants of American English Pronunciation: University of California, Irvine
- The Unix Workbench: Johns Hopkins University
- Foundational Finance for Strategic Decision Making: University of Michigan
- Doing More with SAS Programming: SAS
- Build Streaming Data Pipelines on Google Cloud: Google Cloud
