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 TrialUniversity of Amsterdam
Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Statistical Modeling
Status: Free TrialUniversity of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, R Programming, Probability, Predictive Modeling, Probability Distribution
Status: FreeCoursera
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Structures, Data Analysis, Python Programming, Data Manipulation, Software Installation, File Management, Development Environment, Debugging
Status: PreviewUniversidad Nacional Autónoma de México
Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Data Manipulation, Simulations, Statistical Software, Statistical Visualization, Visualization (Computer Graphics), Data Processing, Graphing, Programming Principles, Scripting, Exploratory Data Analysis, Data Structures, Software Installation, Package and Software Management
Status: Free TrialSkills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Data Security, Linux Commands, Data Migration, Database Design, Data Governance, MySQL, Database Administration, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Data Store, Data Architecture
Status: Free TrialSkills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Management, Data Collection, SQL, Data Import/Export, Metadata Management, Unstructured Data
Status: Free TrialUniversity of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistics, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis
Status: NewStatus: Free TrialSkills you'll gain: Data Storytelling, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Dashboard, Feature Engineering, Time Series Analysis and Forecasting, Database Management, Exploratory Data Analysis, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning
Status: FreeSkills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Predictive Analytics, Data Manipulation, Data Science, Data Analysis, Python Programming
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Data Governance, Data Storage Technologies, Analytics, Business Analytics, Data Storage, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Data Quality, SQL, Organizational Structure, Cloud Computing
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Inferential Statistics: University of Amsterdam
- Programming for Everybody (Getting Started with Python): University of Michigan
- Bayesian Statistics: Duke University
- Data Science Challenge: Coursera
- Python Data Structures: University of Michigan
- Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México
- IBM Data Architecture: IBM
- Prepare Data for Exploration: Google
- Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
- Python, SQL, Tableau for Data Science: Coursera
