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 TrialJohns Hopkins University
Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Scripting, File I/O, Computer Programming, Data Manipulation
Status: Free TrialUniversity of Michigan
Skills you'll gain: Debugging, Programming Principles, Computer Programming, Python Programming, Integrated Development Environments, Computer Programming Tools, Computational Thinking, Software Installation
Status: Free TrialSkills you'll gain: Data Storytelling, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, Interactive Data Visualization, Data Analysis, Data Import/Export, Model Evaluation, Data Manipulation, Data Transformation, Predictive Modeling, Matplotlib, Data Science, Programming Principles, Python Programming, Machine Learning
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: Free TrialSkills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, R (Software), Data Modeling, Relational Databases, Stored Procedure, R Programming, Model Deployment, Databases, Data Science, Big Data, Query Languages, GitHub, Data Visualization Software, Data Preprocessing, Data Cleansing, Cloud Computing, Python Programming
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 TrialDeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives
Status: Free TrialMacquarie University
Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Microsoft Excel, Excel Formulas, Data Presentation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Spreadsheet Software, Dashboard, Data Cleansing, Data Manipulation, Data Preprocessing, Excel Macros, Infographics, Data Transformation, Data Analysis, Data Sharing, Data Integration
Status: Free TrialDuke University
Skills you'll gain: Business Analytics, Business Metrics, Analytics, Business Process Improvement, Business Intelligence, Business Process, Tableau Software, Business Analysis, Data Analysis, Key Performance Indicators (KPIs), Web Analytics, Data-Driven Decision-Making, Digital Transformation, E-Commerce, Financial Services, SQL, Decision Making
Status: PreviewYale University
Skills you'll gain: Growth Mindedness, Health And Wellness Coaching, Behavioral Health, Positive Behavior Support, Goal Setting, Resilience, Cognitive Behavioral Therapy, Psychology, Social Skills, Mindfulness
Status: Free TrialSkills you'll gain: Responsible AI, Data Literacy, AI Enablement, Data Mining, AI Product Strategy, Generative AI, Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Natural Language Processing, Data-Driven Decision-Making, Data Architecture, Robotics, Business Logic, Leadership
Status: Free TrialUniversity of London
Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, Computational Thinking, General Mathematics, Mathematical Modeling, Algebra, Cryptography, Systems Of Measurement
In summary, here are 10 of our most popular statistics for data science courses
- Python for Genomic Data Science: Johns Hopkins University
- Programming for Everybody (Getting Started with Python): University of Michigan
- Applied Data Science: IBM
- Introduction to Big Data: University of California San Diego
- Introduction to Data Science: IBM
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Excel Skills for Data Analytics and Visualization: Macquarie University
- Business Metrics for Data-Driven Companies: Duke University
- The Science of Well-Being: Yale University
