Microsoft

Microsoft R Programming for Everyone Professional Certificate

Microsoft

Microsoft R Programming for Everyone Professional Certificate

Build R Programming Skills with Microsoft Tools.

Go from a beginner to a confident R programmer, using Microsoft's powerful ecosystem and AI tools.

 Microsoft

Instructor: Microsoft

Access provided by Universidad del Magdalena

2,196 already enrolled

Earn a career credential that demonstrates your expertise

from 7 reviews of courses in this program

Beginner level

Recommended experience

4 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise

from 7 reviews of courses in this program

Beginner level

Recommended experience

4 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn and apply fundamental R programming concepts and syntax using Microsoft Visual Studio Code.

  • Import, manipulate, and export data using R with Microsoft integration.

  • Conduct and interpret basic and advanced statistical analyses and create professional-grade data visualizations and reports in R.

  • Utilize generative AI tools to streamline and enhance coding and data analysis tasks.

Details to know

Shareable certificate

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Taught in English

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Advance your career with in-demand skills

  • Receive professional-level training from Microsoft
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Microsoft

Professional Certificate - 5 course series

R Programming Essentials with Microsoft Tools

R Programming Essentials with Microsoft Tools

Course 1, 28 hours

What you'll learn

Skills you'll gain

Category: GitHub Copilot
Category: Data Transformation
Category: Descriptive Statistics
Category: Microsoft Visual Studio
Category: Code Reusability
Category: Data Wrangling
Category: R (Software)
Category: Statistical Programming
Category: Development Environment
Category: Scripting
Category: Programming Principles
Category: Functional Design
Category: Data Processing
Category: Version Control
Category: Scripting Languages
Category: Data Literacy
Category: Program Development
Category: Statistics
Category: Statistical Reporting
Data Manipulation and Cleaning in R

Data Manipulation and Cleaning in R

Course 2, 32 hours

What you'll learn

Skills you'll gain

Category: Data Manipulation
Category: Data Cleansing
Category: Tidyverse (R Package)
Category: Data Wrangling
Category: Data Transformation
Category: R Programming
Category: Data Quality
Category: Data Preprocessing
Category: Generative AI
Category: Data Pipelines
Category: AI literacy
Category: Text Mining
Category: Anomaly Detection
Category: Data Validation
Category: grep
Category: Data Import/Export
Exploratory Data Analysis and Visualization

Exploratory Data Analysis and Visualization

Course 3, 26 hours

What you'll learn

  • Perform exploratory data analysis

    Create charts with ggplot2

    Build interactive visuals with Plotly

    Deliver reports with R Markdown

Skills you'll gain

Category: Scatter Plots
Category: Data Storytelling
Category: Tidyverse (R Package)
Category: Descriptive Statistics
Category: Data Cleansing
Category: Data Preprocessing
Category: Data Wrangling
Category: Histogram
Category: Data Manipulation
Category: Data Presentation
Category: Data Visualization
Category: Data Science
Category: Plot (Graphics)
Statistical Analysis and Advanced Techniques

Statistical Analysis and Advanced Techniques

Course 4, 28 hours

What you'll learn

Skills you'll gain

Category: R Programming
Category: Regression Analysis
Category: Time Series Analysis and Forecasting
Category: Logistic Regression
Category: Statistical Hypothesis Testing
Category: Statistical Modeling
Category: Statistical Analysis
Category: Data Analysis
Category: Analysis
Category: Technical Communication
Category: R (Software)
Category: Predictive Modeling
Category: Statistical Programming
Category: Statistical Reporting
Category: Advanced Analytics
Category: Probability & Statistics
Category: Statistical Methods
Category: Statistics
Category: Analytics
Category: Statistical Inference
Advanced Data Applications and Integration

Advanced Data Applications and Integration

Course 5, 19 hours

What you'll learn

Skills you'll gain

Category: Leaflet (Software)
Category: R Programming
Category: Interactive Data Visualization
Category: Rmarkdown
Category: Web Scraping
Category: Data Collection
Category: Spatial Data Analysis
Category: Cloud Storage
Category: Data Storage
Category: Geographic Information Systems
Category: Cloud Management
Category: Geospatial Mapping
Category: Data Ethics
Category: Data Analysis
Category: Geospatial Information and Technology
Category: R (Software)
Category: Microsoft Azure
Category: AI Workflows
Category: Data Wrangling
Category: Statistical Reporting

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Instructor

 Microsoft
415 Courses2,754,739 learners

Offered by

Microsoft

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