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 Minnesota
Skills you'll gain: Taxonomy, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Persona Development, Information Architecture, Text Mining, Descriptive Statistics, Algorithms, Computer Programming, Java Programming
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Scraping, Model Evaluation, Web Analytics and SEO, Machine Learning, Information Architecture, Probability & Statistics
Status: PreviewThe State University of New York
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Statistical Analysis, Model Evaluation, Data Analysis, Data Visualization, Mathematical Modeling, Statistical Modeling, Correlation Analysis, Probability & Statistics, Descriptive Statistics, Statistical Inference, Software Installation
Status: NewStatus: Free TrialSkills you'll gain: Trend Analysis, Financial Analysis, Data Import/Export, Business Reporting, Financial Data, Data Transformation, Accounting Records, Microsoft Excel, Performance Analysis, Financial Reporting, Data Processing
Status: NewStatus: Free TrialSkills you'll gain: Exploratory Data Analysis, Financial Data, Data Analysis, Package and Software Management, R Programming, R (Software), Statistical Analysis, Expense Management, Financial Analysis, Tidyverse (R Package), Data Manipulation, Statistical Visualization, Data Import/Export
Status: Free TrialSkills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Matplotlib, Histogram, Scatter Plots, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting
Status: NewStatus: Free TrialSkills you'll gain: Data Architecture, Microsoft Azure, Data Lakes, Enterprise Architecture, Data Warehousing, Data Integration, Virtualization, Cloud Storage, Data Transformation, Data Governance, Real Time Data, Scalability
Clemson University
Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning
Status: Free TrialUniversity of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Data Warehousing, Dashboard, Star Schema, Data Visualization Software, Data Mart, MicroStrategy, Business Intelligence, Data Integration, Data Architecture, Extract, Transform, Load, Data Modeling, Case Studies, PostgreSQL, SQL, Data Transformation
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining
Status: Free TrialArizona State University
Skills you'll gain: Semiconductors, Electronic Components, Materials science, Mechanical Engineering, Electrical Engineering, Electronics Engineering, Electronics, Thermal Management, Structural Analysis, Chemical Engineering, Manufacturing Processes, Chemistry, Failure Analysis, Process Control, Engineering Calculations
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
- Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
- Practical Time Series Analysis: The State University of New York
- Transform Raw Data into Financial Insights: Coursera
- Analyze Data: Visualize, Summarize, and R: Coursera
- Python Data Analytics: Meta
- Modern Data Architecture Fundamentals with Microsoft Fabric: Microsoft
- Applied Data Science: Clemson University
- Programming for Everybody (Getting Started with Python): University of Michigan
- Design and Build a Data Warehouse for Business Intelligence Implementation: University of Colorado System
