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
University of Michigan
Skills you'll gain: File I/O, Data Structures, Data Processing, Data Analysis, Data Dictionary, Python Programming, Data Manipulation, Software Installation, Data Store, File Management, Development Environment, Computer Programming Tools
University of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Computer Programming, Programming Principles, Python Programming, C and C++, Infectious Diseases, Java Programming, Java, Rust (Programming Language), Javascript, Software Testing, Debugging
Skills you'll gain: Data Cleansing, Data Manipulation, Jupyter, Data Preprocessing, Business Analytics, Business Analysis, Model Deployment, Model Evaluation, Data Modeling, Data Processing, Business Research, Data Science, Analysis, Data Collection, Analytical Skills, Data Quality, Data Analysis, Software Development Methodologies, Model Training, Data Mining
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Infographics, Text Mining, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Statistical Programming, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling
University of Colorado System
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, R (Software), Health Insurance Portability And Accountability Act (HIPAA) Compliance, Medical Privacy, Data Manipulation, Predictive Modeling, Database Design, Data Mapping, Clinical Informatics, Google Cloud Platform, Data Quality, Natural Language Processing, grep, Informatics, Text Mining, R Programming
Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Data Visualization Software, Data Visualization, Plot (Graphics), Dashboard, Interactive Data Visualization, Dashboard Creation, Matplotlib, Geospatial Information and Technology, Histogram, Spatial Data Analysis, Seaborn, Data Analysis, Scatter Plots, Jupyter, Geospatial Mapping, Python Programming
University of Michigan
Skills you'll gain: Debugging, Programming Principles, Program Development, Computer Programming, Python Programming, Computational Thinking, Software Installation
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, Network Model, Model Training, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Data Infrastructure, Data Presentation, Data Processing, MongoDB
Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Data Science, Advanced Analytics, Analytical Skills, Business Solutions, Technical Communication, Process Design, Project Management, Communication, Stakeholder Communications, Machine Learning
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
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Transformation, Data Validation, Analytics, Sample Size Determination, Google Sheets, SQL, Spreadsheet Software
In summary, here are 10 of our most popular statistics for data science courses
- Python Data Structures: University of Michigan
- Data Structures and Algorithms: University of California San Diego
- Data Science Methodology: IBM
- Applied Data Science with Python: University of Michigan
- Bayesian Statistics: From Concept to Data Analysis: University of California, Santa Cruz
- Clinical Data Science: University of Colorado System
- Data Visualization with Python: IBM
- Programming for Everybody (Getting Started with Python): University of Michigan
- Big Data: University of California San Diego
- Foundations of Data Science: Google
