Statistics With R Courses
Statistics with R courses can help you learn data visualization, hypothesis testing, regression analysis, and statistical modeling. You can build skills in interpreting data sets, conducting experiments, and making data-driven decisions. Many courses introduce R programming, which is widely used for statistical analysis and data manipulation, along with packages like ggplot2 for visualization and dplyr for data wrangling.
Popular Statistics With R Courses and Certifications
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Statistical Analysis, Python Programming
Google Cloud
Skills you'll gain: Data Visualization Software, Data Visualization, Dashboard, Interactive Data Visualization, SQL Server Reporting Services, Google Cloud Platform, Big Data
Status: PreviewTally Education and Distribution Services Private Limited
Skills you'll gain: Accounts Payable and Receivable, Accounting Software, Ledgers (Accounting), Accounting, Financial Accounting, Sales Tax, Financial Statements, Bookkeeping, International Finance, Invoicing, Inventory Management System, Cash Handling, Tax Compliance, Reconciliation, Payment Systems, Banking, Corporate Tax
Status: FreeGoogle Cloud
Skills you'll gain: Cloud Applications, Google Cloud Platform, Database Development, Data Access, Data Store, Cloud Computing, Software Installation, Application Development, Web Development, Cloud Management
Status: Free TrialSkills you'll gain: Design Reviews, Peer Review, Game Design, Generative AI, Adobe Creative Cloud, Graphic Design, Responsible AI, Adobe Photoshop, Graphic and Visual Design, Design, Design Strategies, Design Research, Oral Expression, Prompt Engineering, Creativity
Status: Free TrialSkills you'll gain: Load Balancing, Scalability, Microservices, .NET Framework, Redis, Application Performance Management, Cloud Computing Architecture, Cloud Applications, Databases, System Monitoring, Cloud Infrastructure, Software Architecture, Distributed Computing, C# (Programming Language), Microsoft Azure, Performance Tuning
Status: FreeSkills you'll gain: Shiny (R Package), Data Visualization, Interactive Data Visualization, Dashboard, Data Visualization Software, R Programming, Data Wrangling, User Interface (UI) Design, Ggplot2, Data Manipulation, Data Integration, Data Import/Export
Skills you'll gain: Web Analytics, Organizational Skills, Content Development and Management, Employee Training, Training and Development, Learning Management Systems, Content Management, Content Creation, Writing
Status: PreviewImperial College London
Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration
Skills you'll gain: Amazon S3, Amazon Web Services, Data Import/Export, Application Programming Interface (API), Cloud Computing
Status: PreviewAmazon Web Services
Skills you'll gain: Data Analysis, Dashboard, Analytics, Amazon Web Services, Descriptive Analytics, Data Presentation, Interactive Data Visualization, Data Visualization Software, Big Data, Data-Driven Decision-Making, Cloud Computing
Status: FreeSkills you'll gain: Data Cleansing, Data Transformation, Alteryx, Data Manipulation, Data Import/Export, Data Wrangling, Workflow Management, Scheduling, Automation, Analysis
Searches related to statistics with r
In summary, here are 10 of our most popular statistics with r courses
- Exploratory Data Analysis With Python and Pandas:Â Coursera
- Visualizing Data with Google Data Studio:Â Google Cloud
- Financial Business Accounting and MIS Reports :Â Tally Education and Distribution Services Private Limited
- Getting started with Firebase Cloud Firestore:Â Google Cloud
- Designing with GenAI and Capstone Project:Â Xbox
- Building Scalable Applications with .NET Core:Â EDUCBA
- Dashboard Development with Shiny: GenAI for Retail Analysis:Â Coursera
- Establish Company Training Initiatives with Canvas:Â Coursera
- Creative Thinking: Techniques and Tools for Success:Â Imperial College London
- Create audio transcripts with Amazon Transcribe:Â Coursera
