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
John Wiley & Sons
Skills you'll gain: Matplotlib, Plot (Graphics), Relational Databases, SQL, Database Theory, R (Software), Data Visualization, Statistical Programming, Ggplot2, Data Science, Query Languages, Databases, Database Systems, R Programming, Database Design, Statistical Methods, Database Management, Data Analysis, Power BI, Python Programming
University of Michigan
Skills you'll gain: Database Design, Data Processing, Debugging, Web Scraping, File I/O, Data Store, Data Visualization, Database Software, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Data Presentation, Data Structures, Programming Principles, Python Programming, Program Development
Skills you'll gain: Jupyter, R (Software), R Programming, Computer Programming Tools, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Scikit Learn (Machine Learning Library), Cloud Services, Cloud API, Cloud Computing, Git (Version Control System), Cloud Platforms, Other Programming Languages, Integrated Development Environments, Version Control, Python Programming
Skills you'll gain: Data Store, Data Architecture, Apache Hadoop, Extract, Transform, Load, Relational Databases, Big Data, Data Storage, Databases, Operational Databases, Apache Spark, Data Storage Technologies, Data Lakes, Data Warehousing, Data Governance, Data Pipelines, Data Integration, Data Processing, SQL, NoSQL, Data Science
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Predictive Modeling, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution
University of Amsterdam
Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Science and Research, Research Design, Sampling (Statistics), Research Reports, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Probability & Statistics, Social Sciences, Statistical Methods, Regression Analysis, Statistical Inference, Statistics, R Programming
Multiple educators
Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Correlation Analysis, Pandas (Python Package), NumPy, Data Import/Export, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Statistical Analysis, Statistical Methods, Analysis, Quantitative Research, Data Visualization, Predictive Modeling, Applied Mathematics
University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Data Presentation, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Descriptive Analytics, Data Architecture, Data Literacy, Data Pipelines, Databricks, Data Analysis, Complex Problem Solving, Data Visualization
Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Analytics, ChatGPT, Data Analysis, Data Storytelling, Data Presentation, LLM Application, AI literacy, Generative Model Architectures, Dashboard Creation, Interactive Data Visualization, Responsible AI, Data Synthesis, Data Literacy, Model Evaluation, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR)
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Data Science, Statistical Machine Learning, Statistical Methods, Statistical Software, Statistical Analysis, Mathematics and Mathematical Modeling, Computational Logic, Statistical Inference, Probability & Statistics, Machine Learning Methods, Computational Thinking
Duke University
Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), NumPy, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Data Visualization, Statistical Visualization, Debugging, Data Presentation, Data Manipulation, Code Reusability, Object Oriented Programming (OOP), Python Programming, Simulations, Predictive Modeling, Data Analysis
In summary, here are 10 of our most popular statistics for data science courses
- Applied Data Science with SQL, R, and Python: John Wiley & Sons
- Python for Everybody: University of Michigan
- Tools for Data Science: IBM
- Introduction to Data Engineering: IBM
- Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
- Methods and Statistics in Social Sciences: University of Amsterdam
- Data Science Foundations: IBM
- Probability and Statistics: Birla Institute of Technology & Science, Pilani
- Learn SQL Basics for Data Science: University of California, Davis
- Generative AI for Data Analysts: IBM
