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
Google
Skills you'll gain: Rmarkdown, Data Ethics, Data Validation, Ggplot2, R (Software), Data Literacy, Spreadsheet Software, Data Analysis, Stakeholder Communications, Dashboard, Analytics, R Programming, Object Oriented Programming (OOP), Data-Driven Decision-Making, Tidyverse (R Package), Data Security, Data Manipulation, Data Structures, Interviewing Skills, Applicant Tracking Systems
Skills you'll gain: Jupyter, R Programming, Data Analysis Software, Computer Programming Tools, GitHub, Data Visualization Software, Data Science, Statistical Programming, Cloud Computing, Git (Version Control System), Cloud Platforms, Application Programming Interface (API), Other Programming Languages, Development Environment, Python Programming, Open Source Technology
Skills you'll gain: Stored Procedure, MySQL Workbench, SQL, Data Cleansing, Data-Driven Decision-Making, MySQL, Exploratory Data Analysis, Database Design, Data Presentation, Data Manipulation, Data Integration, Relational Databases, Database Management, Business Reporting, Query Languages, Report Writing, Performance Reporting, GitHub, Performance Tuning, Jupyter
Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming
University of California, Davis
Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Data Presentation, Data Visualization, Advanced Analytics, Stakeholder Analysis, Interactive Data Visualization, Data Visualization Software, Data Literacy, Design Elements And Principles, Exploratory Data Analysis, Proposal Development, Data Ethics, Data Analysis, Visualization (Computer Graphics), Pivot Tables And Charts, Data Mapping, Tree Maps, Storyboarding
Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling
University of Amsterdam
Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Data-Driven Decision-Making, Regression Analysis, Probability Distribution
DeepLearning.AI
Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks
In summary, here are 10 of our most popular statistics for data science courses
- Google Data Analytics: Google
- Tools for Data Science: IBM
- SQL for Data Analysis and Business Insights: Coursera
- Genomic Data Science: Johns Hopkins University
- Data Analysis with R: Duke University
- Introduction to Data Science in Python: University of Michigan
- Applied Data Science with Python: University of Michigan
- Data Visualization with Tableau: University of California, Davis
- Data Science Methodology: IBM
- Methods and Statistics in Social Sciences: University of Amsterdam
