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: Descriptive Statistics, Financial Data, Regression Analysis, Statistical Modeling, Financial Analysis, Decision Tree Learning, Credit Risk, Predictive Modeling, Portfolio Management, Statistics, Portfolio Risk, Statistical Analysis, Statistical Methods, Model Evaluation, Supervised Learning
University of Pittsburgh
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making
University of London
Skills you'll gain: Algorithms, Computational Thinking, Theoretical Computer Science, Programming Principles, Computational Logic, Critical Thinking and Problem Solving, Performance Testing, Computer Science, Data Structures, Critical Thinking, Logical Reasoning, Graph Theory, Complex Problem Solving, Analysis, Game Theory
Skills you'll gain: Microsoft Azure, Cloud Services, Virtualization, Cloud Computing, Virtual Machines, Cloud Storage, Cloud Infrastructure, Public Cloud, Virtual Networking, Scalability
Coursera
Skills you'll gain: Business Intelligence, Looker (Software), Data Visualization, Data Presentation, Data Visualization Software, Data Literacy, Dashboard, Data Storytelling, Power BI, Business Analytics, Histogram, Data Analysis, Business Marketing, Trend Analysis
University of Alberta
Skills you'll gain: Biology, Physical Science, Life Sciences, Taxonomy, Scientific Methods, Science and Research, Environmental Science, Spatial Data Analysis
Universiteit Leiden
Skills you'll gain: Public Safety and National Security, Research, Research Methodologies, Policy Analysis, Media and Communications, Crisis Intervention, World History, International Relations, Political Sciences, Public Policies, Trend Analysis, Social Impact, Psychology, Case Studies
Skills you'll gain: Dashboard, Data Transformation, SPSS (Software), SPSS, Descriptive Analytics, Data Visualization, Logistic Regression, Regression Analysis, Correlation Analysis, Analytics, Data Presentation, Data Preprocessing, Descriptive Statistics, Business Analytics, Statistical Modeling, Advanced Analytics, Data Analysis, Exploratory Data Analysis, Market Data, Statistical Analysis
University of Alberta
Skills you'll gain: Requirements Analysis, Requirements Elicitation, Requirements Management, Functional Requirement, Business Requirements, Product Requirements, Backlogs, User Requirements Documents, Scope Management, Change Control, User Story, System Requirements, Client Services, Acceptance Testing, Agile Software Development, Prioritization
Johns Hopkins University
Skills you'll gain: Angular, JavaScript Frameworks, Unit Testing, Ajax, Cloud Applications, Web Applications, Web Components, Front-End Web Development, Web Development, Javascript, Model View Controller, Software Architecture, Hypertext Markup Language (HTML), UI Components, Software Design Patterns
Pragmatic AI Labs
Skills you'll gain: Databricks, Data Lakes, Data Engineering, Data Wrangling, Apache Spark, Data Access, Data Processing, Data Warehousing, Data Architecture, Data Management, Data Synthesis, Data Science, Data Mining, Data Integrity, Data Modeling, Data Presentation, Data Entry, Data Storage, SQL, Python Programming
In summary, here are 10 of our most popular statistics for data science courses
- Statistical and Predictive Modeling for Finance : Coursera
- Big Data Processing with Hadoop and Spark: University of Pittsburgh
- Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
- Algorithms and Complexity: University of London
- Introduction to Microsoft Azure Cloud Services: Microsoft
- Visualize BI Data: Coursera
- Dino 101: Dinosaur Paleobiology: University of Alberta
- Terrorism and Counterterrorism: Comparing Theory and Practice: Universiteit Leiden
- Apply Advanced SPSS Data Analytics & Modeling: EDUCBA
- Client Needs and Software Requirements : University of Alberta
