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
HEC Paris
Skills you'll gain: Storytelling, Leadership, Self-Awareness, Relationship Building, Strategic Leadership, Accountability, Resilience, Personal Development, Business Leadership, Organizational Leadership, Professional Development, Innovation, Presentations, Forecasting, Analysis
Status: PreviewStarweaver
Skills you'll gain: Constructive Feedback, Cross-Functional Team Leadership
Status: Free TrialSplunk Inc.
Skills you'll gain: Splunk, Dashboard, Incident Management, Information Management, Event Monitoring, Data Modeling, Data Processing, Query Languages, Business Intelligence, Data Management, Data Analysis, Big Data, Business Analytics
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Land Management, Supply Chain, Food and Beverage, Supply Chain Systems, Transportation, Supply Chain, and Logistics, Supply Chain Management, Supply And Demand, Production Management, Environment and Resource Management, Market Dynamics, Technology Solutions, Consumer Behaviour
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Python Programming
Status: Free TrialSkills you'll gain: Digital Transformation, Generative AI, ChatGPT, AI Enablement, Strategic Decision-Making, Software Development Tools, LLM Application, Prompt Engineering, Artificial Intelligence, User Interface (UI) Design, Debugging
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Modeling, Statistical Analysis, Probability & Statistics
Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)
Status: PreviewSkills you'll gain: Data Visualization, Data-Driven Decision-Making, Data Ethics, R (Software), Data Science, Data Governance, Advanced Analytics
Coursera
Skills you'll gain: HubSpot CRM, Team Building, Customer Relationship Management (CRM) Software, Team Management, Business Reporting, Marketing Automation, Email Marketing, Customer Data Management, Sales Enablement, Marketing, Customer Service
Status: Free TrialUniversity of Michigan
Skills you'll gain: Generative AI, Artificial Intelligence, Image Analysis, Creativity, Prompt Engineering, Creative Design, Responsible AI, Music, Problem Solving, Critical Thinking
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Real-Time Operating Systems, Reliability, Performance Tuning, Embedded Software, Embedded Systems, Control Systems, Debugging, Hardware Design, Systems Engineering, Systems Architecture, Failure Analysis, Scalability, Linux
Searches related to statistics for data science
In summary, here are 10 of our most popular statistics for data science courses
- CAPSTONE: Your Leadership Challenge: HEC Paris
- Cross Functional Collaboration : Starweaver
- Splunk Knowledge Manager 101: Splunk Inc.
- Supply Chain of Agriculture: University of Illinois Urbana-Champaign
- Aerial Image Segmentation with PyTorch : Coursera
- Generative AI in Software Development: Amazon
- Quantifying Relationships with Regression Models: Johns Hopkins University
- Data Visualization using dplyr and ggplot2 in R: Coursera
- Use Tableau for your Data Science Workflow: Edureka
- Get Started with HubSpot: Coursera
