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 TrialMicrosoft
Skills you'll gain: Microsoft SQL Servers, SQL, Transact-SQL, Databases, Relational Databases, Data Transformation, Data Manipulation, Query Languages, Generative AI, Data Analysis
Status: Free TrialUniversity of Michigan
Skills you'll gain: Editing, Constructive Feedback, Concision, Writing, Proofreading, Critical Thinking, Detail Oriented, Collaboration, Time Management, Creativity
Status: Free TrialBoard Infinity
Skills you'll gain: Eclipse (Software), Java Programming, Object Oriented Programming (OOP), Java, Object Oriented Design, Integrated Development Environments, Development Environment, Computer Programming, Debugging, Virtual Machines, Algorithms
Status: Free TrialUniversidad Nacional Autónoma de México
Skills you'll gain: Data Mining, Database Design, Scalability, Database Systems, Relational Databases, Unstructured Data, Transaction Processing, Databases, Systems Design, Big Data, Data Architecture, NoSQL, Data Processing, Maintainability, Software Design, SQL, Apache Hadoop
Status: Free TrialUniversity of California, Santa Cruz
Skills you'll gain: C++ (Programming Language), Software Design Patterns, Object Oriented Programming (OOP), C (Programming Language), Debugging, Algorithms, Graph Theory, Artificial Intelligence, Data Structures, Game Design
Skills you'll gain: Google Docs, Document Management, Productivity Software, Writing, Business Writing, File Management, Personal Development
Status: Free TrialUniversity of California, Davis
Skills you'll gain: Javascript, HTML and CSS, Scripting, Web Design and Development, Event-Driven Programming, Programming Principles, Integrated Development Environments, User Interface (UI), Debugging
Status: Free TrialJohns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analytical Skills, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Neurology, Statistical Modeling, Statistical Methods
Status: Free TrialUniversity of Pennsylvania
Skills you'll gain: Growth Mindedness, Personal Development, Optimism, Self-Awareness, Self-Motivation, Goal Setting, Adaptability, Strong Work Ethic, Cultural Diversity
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Computational Thinking, File I/O, Data Collection, Simulations, Data Analysis, Microsoft Visual Studio, C (Programming Language), Statistical Analysis, Automation, Program Development, Data Structures, Programming Principles, Algorithms, Computer Programming, Theoretical Computer Science, Data Storage, Descriptive Statistics, Data Visualization Software, Debugging
Skills you'll gain: Project Estimation, Project Schedules, Work Breakdown Structure, Estimation, Scheduling, Timelines, Project Planning, Project Management, Probability & Statistics
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Cleansing, Data Preprocessing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- SQL Foundations: Microsoft
- Writing and Editing: Revising: University of Michigan
- Fundamentals of Java Programming: Board Infinity
- Designing data-intensive applications: Universidad Nacional Autónoma de México
- C++ For C Programmers, Part B: University of California, Santa Cruz
- Create a Resume and Cover Letter with Google Docs: Coursera
- JavaScript Basics: University of California, Davis
- Principles of fMRI 2: Johns Hopkins University
- Success: University of Pennsylvania
- Computational Thinking with Beginning C Programming: University of Colorado System
