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
Macquarie University
Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Excel Formulas, Consolidation, Business Reporting, Data Management, Data Integration, Automation
Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
The University of Edinburgh
Skills you'll gain: Artificial Intelligence, Psychology, Fraud detection, Human Development, Scientific Methods, Research
University of Colorado Boulder
Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Statistical Inference, Machine Learning Methods, Statistics, Model Optimization, Applied Mathematics
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Jupyter, Regression Analysis, Probability & Statistics, Model Evaluation, Statistical Software, Probability Distribution, Data Science, Markov Model, Statistics, Statistical Programming, Statistical Inference, Statistical Methods, Simulations, Data Visualization, Python Programming
University of London
Skills you'll gain: Machine Learning Algorithms, Data Literacy, Unsupervised Learning, Data Science, Applied Machine Learning, Machine Learning
University of Colorado Boulder
Skills you'll gain: Sampling (Statistics), R (Software), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Probability & Statistics, Statistical Software, Data Science, Statistics, Data Analysis, Statistical Programming, Statistical Analysis, Probability, Data Literacy, Statistical Visualization, Data Processing, Data Manipulation
Skills you'll gain: SQL, Relational Databases, Microsoft SQL Servers, MySQL, Query Languages, Database Systems, Databases, Database Design, Database Management, Stored Procedure, IBM DB2, Database Development, Data Manipulation, Data Analysis, Transaction Processing
Macquarie University
Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Data Integrity, Visual Basic (Programming Language), Business Modeling, Automation, Data Security
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Code Reusability, Data Preprocessing, Data Wrangling, Package and Software Management, Data Analysis, Data Processing, Data Integration, JSON, Object Oriented Programming (OOP), Data Science, Data Structures, Python Programming, Exploratory Data Analysis, Computer Programming, Programming Principles, Data Storage, Computational Logic
University of California, Santa Cruz
Skills you'll gain: Programming Principles, Program Development, Computational Logic, Memory Management
Arizona State University
Skills you'll gain: Statistical Methods, Bayesian Statistics, Statistics, Probability & Statistics, Analytics, Data Storage Technologies, Exploratory Data Analysis, Data Store, Mathematical Software, Data Storage, Data Access, Statistical Machine Learning, Database Software, Estimation, Machine Learning Methods, Data-Driven Decision-Making, Applied Machine Learning, Supervised Learning, Markov Model, Regression Testing
In summary, here are 10 of our most popular statistics for data science courses
- Excel Skills for Business: Intermediate I: Macquarie University
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
- Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh
- Resampling, Selection and Splines: University of Colorado Boulder
- Introduction to Computational Statistics for Data Scientists: Databricks
- The Data Science Profession – Student View: University of London
- Managing, Describing, and Analyzing Data: University of Colorado Boulder
- SQL: A Practical Introduction for Querying Databases: IBM
- Excel Skills for Business: Intermediate II: Macquarie University
- Google Data Analysis with Python: Google
