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
Skills 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
University of Colorado Boulder
Skills you'll gain: Microsoft Excel, Excel Formulas, Data Management, Data Visualization, Spreadsheet Software, Data Validation, Data Cleansing, Data Analysis Expressions (DAX), Data Integrity, Productivity Software, Problem Solving
Peking University
Skills you'll gain: Language Learning, Language Competency, Vocabulary, Oral Comprehension, Grammar, Communication
Johns Hopkins University
Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Ajax, Javascript, Responsive Web Design, Front-End Web Development, Web Design, Bootstrap (Front-End Framework), Web Development, Development Environment, Web Development Tools, Web Design and Development, JSON, Web Applications, Web Content Accessibility Guidelines, Scripting, Browser Compatibility, Hypertext Markup Language (HTML), Object Oriented Programming (OOP), Event-Driven Programming
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation
Duke University
Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science
University of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures
Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Microsoft Power Platform, Data Collection, Business Analytics, Data Transformation, Data Visualization Software, Microsoft 365
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
Nanyang Technological University, Singapore
Skills you'll gain: Criminal Investigation and Forensics, Analytical Chemistry, Pharmacology, Chemistry, Biochemistry, Investigation, Scientific Methods, Hematology, Laboratory Techniques, Case Studies, Molecular Biology, Biology
Microsoft
Skills you'll gain: Excel Macros, Prompt Engineering, Microsoft Excel, Data Cleansing, Excel Formulas, Pivot Tables And Charts, Microsoft Copilot, Dashboard, Forecasting, Data Presentation, Data Storytelling, Data Processing, Data Visualization Software, Data Manipulation, Data Visualization, Data Preprocessing, Data Quality, Statistical Analysis, Data Transformation, Data Analysis
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making
In summary, here are 10 of our most popular statistics for data science courses
- Prepare Data for Exploration: Google
- Everyday Excel, Part 1: University of Colorado Boulder
- Chinese for Beginners: Peking University
- HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
- Python, Bash and SQL Essentials for Data Engineering: Duke University
- Statistics and Data Analysis with R: University of Colorado Boulder
- Harnessing the Power of Data with Power BI: Microsoft
- Machine Learning: DeepLearning.AI
- Introduction to Forensic Science: Nanyang Technological University, Singapore
