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 TrialKennesaw State University
Skills you'll gain: Lean Methodologies, Lean Six Sigma, Six Sigma Methodology, Performance Measurement, Process Improvement, Continuous Improvement Process, Process Analysis, Statistical Methods, Statistical Analysis
Status: PreviewSkills you'll gain: Clinical Data Management, Clinical Research, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology
Status: PreviewThe Hong Kong University of Science and Technology
Skills you'll gain: Android Development, User Interface (UI), Mobile Development, Application Development, No-Code Development, Data Storage, Game Design, Program Development, Geographic Information Systems, Global Positioning Systems, Computer Programming
Status: PreviewThe University of Melbourne
Skills you'll gain: Molecular Biology, Life Sciences, Oncology, Environment, Cell Biology, Biology, Medical Science and Research, Research Design, Nutrition and Diet
Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
Coursera
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
Status: Free TrialEmory University
Skills you'll gain: Data Cleansing, Lean Six Sigma, Six Sigma Methodology, Consulting, Problem Solving, Management Consulting, Data Quality, Analytical Skills, Complex Problem Solving, Business Consulting, Data-Driven Decision-Making, Data Analysis, Data Collection, Consultative Approaches, Project Scoping, Client Services
Status: Free TrialUniversity at Buffalo
Skills you'll gain: Product Lifecycle Management, Performance Measurement, Manufacturing Operations, Supply Chain Management, Enterprise Resource Planning, Material Requirements Planning, Production Management, Data Integration, Business Process Management, Digital Transformation, Data Security, Internet Of Things, Data Management, Decision Making
Skills you'll gain: Employee Surveys, Data Collection, Business Research, Data Analysis, User Feedback, Market Research, Business Software, Data Presentation
Status: Free TrialSkills you'll gain: Music, Media Production, Creativity, Digital Signal Processing, Editing, File Management, System Configuration
Status: Free TrialNorthwestern University
Skills you'll gain: Influencing, Persuasive Communication, Leadership, Motivational Skills, Communication, Behavior Management, Negotiation, Overcoming Obstacles
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- The Improve Phase for the 6 σ Black Belt: Kennesaw State University
- Making Data Science Work for Clinical Reporting: Genentech
- Developing Android Apps with App Inventor: The Hong Kong University of Science and Technology
- Epigenetic Control of Gene Expression: The University of Melbourne
- Essential Causal Inference Techniques for Data Science: Coursera
- Build a Machine Learning Web App with Streamlit and Python: Coursera
- Data Analysis Using Pyspark: Coursera
- Consulting Approach to Problem Solving: Emory University
- Advanced Manufacturing Enterprise: University at Buffalo
- Use SurveyMonkey to Create a Survey and Analyze Results: Coursera
