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 Science, Molecular Biology, Science and Research, Data Processing, Data Analysis, Computer Science, Correlation Analysis, Biotechnology, Statistical Analysis, Computational Thinking, Life Sciences, Probability & Statistics, Statistics, Software Engineering, Algorithms, Biology
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, Data Import/Export, Database Management, Query Languages, Database Software, Report Writing, GitHub, Performance Tuning, Jupyter
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics
University of Cape Town
Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Data Literacy, Probability & Statistics, Diagnostic Tests, Clinical Research, Medical Science and Research, Clinical Trials, Statistical Analysis, Science and Research, Quantitative Research, Statistics, Scientific Methods, Descriptive Statistics, Statistical Inference, Probability, Epidemiology
Vanderbilt University
Skills you'll gain: Clinical Data Management, Data Capture, Electronic Data Capture (EDC), Clinical Research, Data Management, Data Collection, Data Sharing, Data Strategy, Data Quality, Data Storage, Regulatory Compliance
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
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining
Johns Hopkins University
Skills you'll gain: Bioinformatics, Data Structures, Code Reusability, Jupyter, Python Programming, Programming Principles, Scripting, File I/O, Computational Logic, Computer Programming, Data Manipulation, Analysis
Imperial College London
Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Dimensionality Reduction, Data Transformation, Machine Learning, Computational Thinking
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Data Manipulation, Analytics, Sample Size Determination, SQL, Spreadsheet Software
Macquarie University
Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Productivity Software, Data Analysis Software, Business Analytics, Analytical Skills
Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Linux Commands, SQL, IBM Cognos Analytics, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science
In summary, here are 10 of our most popular statistics for data science courses
- Introduction to Genomic Technologies: Johns Hopkins University
- SQL for Data Analysis and Business Insights: Coursera
- Introduction to Probability and Data with R: Duke University
- Understanding Clinical Research: Behind the Statistics: University of Cape Town
- Data Management for Clinical Research: Vanderbilt University
- Data Science Foundations: IBM
- Introduction to Data Science in Python: University of Michigan
- Python for Genomic Data Science: Johns Hopkins University
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Process Data from Dirty to Clean: Google
