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
Status: Free TrialSkills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Database Management, Data Warehousing, Data Governance, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Medical Privacy, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Natural Language Processing, Bioinformatics, Informatics, Text Mining, Clinical Informatics, R Programming
Status: Free TrialSkills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
Status: PreviewThe Hong Kong University of Science and Technology
Skills you'll gain: Statistical Inference, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling, Python Programming, Model Evaluation, Data Visualization, Data Import/Export
Status: Free TrialJohns 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
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra
Status: Free TrialUniversity 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
Status: Free TrialAmerican Psychological Association
Skills you'll gain: Data Visualization, Descriptive Statistics, Plot (Graphics), Data Literacy, Graphing, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Sample Size Determination, Data Analysis, Sampling (Statistics), Exploratory Data Analysis, Scatter Plots, Correlation Analysis, Psychology, Research Design, Scientific Methods
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Probability Distribution
Status: Free TrialUniversity of Michigan
Skills you'll gain: Database Design, Data Processing, Web Scraping, Data Visualization, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Interactive Data Visualization, Extensible Markup Language (XML), Data Structures, Programming Principles, Data Cleansing, Network Protocols, Data Analysis, Python Programming, Computer Programming
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis
Status: PreviewUniversidad Nacional Autónoma de México
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Statistical Visualization, Data Processing, Graphing, Programming Principles, Data Import/Export, Scripting, Exploratory Data Analysis, Data Structures, Software Installation
In summary, here are 10 of our most popular statistics for data science courses
- Data Engineering Foundations: IBM
- Clinical Data Science: University of Colorado System
- Foundations: Data, Data, Everywhere: Google
- Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
- Python for Genomic Data Science: Johns Hopkins University
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Methods and Statistics in Social Sciences: University of Amsterdam
- Statistics in Psychological Research: American Psychological Association
- Bayesian Statistics: Duke University
- Python for Everybody: University of Michigan
