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, Data Structures, Jupyter, Python Programming, Programming Principles, Object Oriented Programming (OOP), File I/O, Computational Logic, Package and Software Management, Data Manipulation
Skills you'll gain: NoSQL, Data Warehousing, Database Administration, SQL, Apache Hadoop, Database Design, Relational Databases, Data Security, Linux Commands, Data Migration, Data Pipelines, Data Governance, Database Management, Apache Kafka, Apache Airflow, Apache Spark, Bash (Scripting Language), Extract, Transform, Load, Database Architecture and Administration, Data Architecture
Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Dashboard, Big Data, Data Visualization, Microsoft Excel, Data Analysis, IBM Cognos Analytics, Excel Formulas, Pivot Tables And Charts, Apache Hadoop, Data Cleansing, Statistical Analysis, Analytical Skills, Apache Hive, Spreadsheet Software, Data Mart
Status: Popular This WeekSkills you'll gain: Data Storytelling, Exploratory Data Analysis, Database Design, Data Wrangling, Shiny (R Package), Ggplot2, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Interactive Data Visualization, Statistical Analysis, Dashboard, Microsoft Excel, Data Presentation, Excel Formulas, Pivot Tables And Charts, Analytical Skills, Data Manipulation, Web Scraping
Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Storage Technologies, Data Storage, Relational Databases, Data Integration, Apache Hadoop, Data Warehousing, Databases, Data Lakes, SQL, Data Governance, Apache Spark, Data Security, NoSQL, Data Transformation, Data Science
Google
Skills you'll gain: Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Methods, Statistics, Probability & Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Theoretical Computer Science, Probability Distribution, Artificial Intelligence
University of Cape Town
Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability
Status: Trending in AISkills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Machine Learning Software, Model Deployment, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Robotics, Deep Learning, Data Science
University of California San Diego
Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Infrastructure, Data Presentation, Data Processing, MongoDB
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, A/B Testing, Quantitative Research, Machine Learning, Model Evaluation
In summary, here are 10 of our most popular statistics for data science courses
- Python for Genomic Data Science: Johns Hopkins University
- IBM Data Architecture: IBM
- Data Analysis and Visualization Foundations: IBM
- IBM Data Analytics with Excel and R: IBM
- Introduction to Data Engineering: IBM
- Crash Course on Python: Google
- Introduction to Data Analysis using Microsoft Excel: Coursera
- Statistical Estimation for Data Science and AI: University of Colorado Boulder
- Understanding Clinical Research: Behind the Statistics: University of Cape Town
- AI Foundations for Everyone: IBM
