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
Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Data Analysis Software, Data Quality, Statistical Modeling, Data Structures, Code Reusability, Big Data, R Programming, Python Programming
Multiple educators
Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, Data Visualization, Correlation Analysis, Pandas (Python Package), NumPy, R Programming, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Software, Data Analysis Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Statistical Visualization, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming
University of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis, Statistical Methods
Google
Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, Data Processing, Object Oriented Programming (OOP), File Management, Web Presence, Data Structures, Interviewing Skills
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Knitr, Machine Learning, GitHub
University of California, Davis
Skills you'll gain: Presentations, Data Presentation, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Statistical Analysis, Data Science, Data Import/Export, Target Audience, Proposal Development
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Code Reusability, Package and Software Management, Data Analysis, Data Integration, JSON, Object Oriented Programming (OOP), Data Science, Data Structures, Python Programming, Exploratory Data Analysis, Computer Programming, Programming Principles, Data Import/Export, Computational Logic
Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Visualization, Plot (Graphics), Data Preprocessing, Statistical Methods, Seaborn, Data Science, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
Skills you'll gain: Stored Procedure, GitHub, MySQL Workbench, Relational Databases, SQL, Data Cleansing, Git (Version Control System), MySQL, Database Design, Data Presentation, Data Manipulation, Data Integration, Databases, Data Import/Export, Database Management, Report Writing, Version Control, Inventory Control, Performance Tuning, Jupyter
Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Bash (Scripting Language), Package and Software Management, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, SQL, IBM Cognos Analytics, Data Store, Generative AI, Professional Networking, Python Programming, Data Analysis, Data Science
