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
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Relational Databases, Data Architecture, Data Pipelines, Databases, Big Data, Data Storage Technologies, Unit Testing, Data Storage, Stored Procedure, Data Import/Export, SQL Server Integration Services (SSIS), Programming Principles, PostgreSQL, Python Programming
Macquarie University
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Data Preprocessing, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation
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, Apache Hadoop, Statistical Analysis, Analytical Skills, Pivot Tables And Charts, Excel Formulas, Apache Hive, Spreadsheet Software, Data Mart, Data Cleansing
Skills 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, Big Data, Microsoft Excel, Data Presentation, Analytical Skills, Excel Formulas, Data Manipulation, Web Scraping
Coursera
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Business Analytics, Sample Size Determination, Statistical Analysis, Data Analysis, Statistical Methods, A/B Testing, Statistical Software, Estimation, Data-Driven Decision-Making, Business Communication
Vanderbilt University
Skills you'll gain: Clinical Data Management, Electronic Data Capture (EDC), Data Management, Data Collection, Case Report Forms, Data Sharing, Health Informatics, Data Strategy, Data Quality, Good Clinical Practices (GCP), Sampling (Statistics), Data Integrity, Data Validation, Regulatory Compliance
University of Pennsylvania
Skills you'll gain: Research, Vocabulary, Climate Change Adaptation, Literacy, English Language, Sustainable Technologies, Environment, Environmental Science, Grammar, Emerging Technologies
Coursera
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication
Rice University
Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Network Analysis, Theoretical Computer Science, Computer Programming
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
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
In summary, here are 10 of our most popular statistics for data science courses
- Data Engineering Foundations: IBM
- Excel Fundamentals for Data Analysis: Macquarie University
- Data Analysis and Visualization Foundations: IBM
- IBM Data Analytics with Excel and R: IBM
- Run Inference & Hypothesis Tests: Coursera
- Data Management for Clinical Research: Vanderbilt University
- English for Science, Technology, Engineering, and Mathematics: University of Pennsylvania
- Data Science Challenge: Coursera
- Fundamentals of Computing: Rice University
- Understanding Clinical Research: Behind the Statistics: University of Cape Town
