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: PreviewUniversity of Michigan
Skills you'll gain: Finite Element Methods, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language), Object Oriented Programming (OOP)
Status: Free TrialDuke University
Skills you'll gain: Databricks, Model Deployment, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, LLM Application, Data Pipelines, Hugging Face, Large Language Modeling, Apache Spark, Responsible AI, Data Analysis, Data Science, Machine Learning
Status: Free TrialArizona State University
Skills you'll gain: Learning Management Systems, Education Software and Technology, Digital pedagogy, Teaching, Technology Strategies, digital literacy, English Language, Innovation, Language Learning
Status: PreviewThe University of Edinburgh
Skills you'll gain: Empathy, Critical Thinking, Research, Diversity Awareness, Open Mindset, Emotional Intelligence, Decision Making
Status: Free TrialSkills you'll gain: Natural Language Processing, Microsoft Azure, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Automation, Application Development
Status: Free TrialRutgers the State University of New Jersey
Skills you'll gain: Demand Planning, Customer Demand Planning, Regression Analysis, Data Collection, Supply Chain Planning, Statistical Analysis, Forecasting, Marketing Analytics, Predictive Analytics, Advanced Analytics, Trend Analysis, Predictive Modeling, Time Series Analysis and Forecasting, Data Preprocessing, Exploratory Data Analysis, Model Evaluation, Data Visualization, Data Visualization Software
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 TrialDuke University
Skills you'll gain: Debugging, Software Testing, Program Development, Simulations, Computer Programming, Algorithms, Development Environment, C (Programming Language), Command-Line Interface
Skills you'll gain: Google Docs, Document Management, Productivity Software, Writing, Business Writing, File Management, Personal Development
Status: PreviewUniversity of Michigan
Skills you'll gain: Climate Change Mitigation, Climate Change Adaptation, Social Impact, Sustainable Development, Sustainable Design, Driving engagement
Status: Free TrialArizona State University
Skills you'll gain: Oral Comprehension
Status: FreeUniversity of Virginia
Skills you'll gain: Bioinformatics, Data Analysis Software, Scientific Visualization, Taxonomy, Data Integration, Data Import/Export
In summary, here are 10 of our most popular statistics for data science courses
- The Finite Element Method for Problems in Physics: University of Michigan
- Databricks to Local LLMs: Duke University
- Teach English Now! Technology Enriched Teaching: Arizona State University
- Intellectual Humility: Practice: The University of Edinburgh
- Natural Language Processing in Microsoft Azure: Microsoft
- Demand Analytics: Rutgers the State University of New Jersey
- JavaScript Basics: University of California, Davis
- Writing, Running, and Fixing Code in C: Duke University
- Create a Resume and Cover Letter with Google Docs: Coursera
- Act on Climate: Steps to Individual, Community, and Political Action: University of Michigan
