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R Programming Courses and Certifications
Explore R Programming courses at EdCroma and master this powerful language widely used in data analysis, statistics, and data visualization. This course provides a comprehensive introduction to R, making it ideal for beginners and those looking to build expertise in data science and analytics.
Master Python programming for various applications, from web development to data science.
Why Choose EdCroma’s R Programming Course?
EdCroma’s R programming course online is designed for flexibility, offering a curriculum that combines theory with practical applications in data science. With free certification upon completion, this course strengthens your analytical and programming skills, enhancing your profile in data-driven roles.
Learn Matlab for advanced mathematical computations and modeling.
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Analyze Data with R
Use R to process, analyze, and visualize data.
Creating Nested and Special-purpose Functions in R
This course will teach you the fundamentals of understanding, using, and creating your own custom special purpose functions within R.
Data Scientist: Inference Specialist
Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.
Difference in Differences for Causal Inference
Learn how to use the difference in differences method to estimate effects by analyzing trends over time.
Getting Started Off-Platform for Data Science
Learn how to setup Jupyter Notebooks and PostGRESQL and run data science projects on your own computer locally!
Learn dplyr
Learn how to organize data, manipulate datasheets, and clean data frames in R using dplyr.
Learn ggplot2
Learn how to create visualizations using the popular R package ggplot2
Learn Linear Regression with R
Learn about the difference between simple linear regression and multiple linear regression in R
Learn R
Learn how to code and clean and manipulate data for analysis and visualization with the R programming language.
Learn Statistics with R
Learn how to implement statistical models and run hypothesis tests in R.
Learn the Basics of Causal Inference with R
Learn how to use causal inference to figure out how different variables influence your results.
Matching and Weighting Methods for Causal Inference
Use matching, weighting, propensity scores, and stratification to prepare data for causal analysis.
Key Topics Covered in the R Programming Course
- Introduction to R Programming: Learn the basics of R, including data types, variables, operators, and RStudio, the IDE for R.
- Data Manipulation with R: Master functions, data frames, and packages to manipulate datasets and prepare them for analysis.
- Data Visualization: Explore R’s visualization capabilities with popular packages like ggplot2, creating insightful charts and plots.
- Statistical Analysis in R: Perform statistical tests and learn R functions for hypothesis testing, correlation, regression, and more.
- Machine Learning Basics with R: Apply machine learning algorithms to datasets, covering the basics of supervised and unsupervised learning.
- Advanced R Programming: Dive into advanced topics like writing custom functions, managing packages, and optimizing R code.
Master Data Manipulation techniques for cleaning, merging, and reshaping data.
Benefits of EdCroma’s Best R Programming Course Online Free
- Free Certification: Complete the course to earn a certification in R programming, validating your data science skills.
- Self-Paced Learning: Enjoy the flexibility to learn at your own pace with interactive materials and assignments.
- Hands-on Practice: Apply theoretical knowledge to real-world data science projects using R, boosting your analytical abilities.
Career Opportunities with an R Programming Certification
An R programming certification from EdCroma can open up a wide range of opportunities in data science and analytics, such as:
- Data Analyst: Use R to analyze and interpret complex data to help organizations make data-driven decisions.
- Data Scientist: Utilize R for data manipulation, visualization, and machine learning to drive insights.
- Business Analyst: Apply statistical analysis and visualization with R to aid in business strategy and reporting.
- Research Scientist: Conduct advanced data analysis and statistical modeling using R in academic or industry research settings.
Master Software Engineering to design and develop scalable software solutions.
Free R Programming Course with Certificate
Enroll in EdCroma’s best R programming course online for free and acquire foundational knowledge and practical skills in R. This course comes with a certification upon completion, a valuable credential in data science roles.
Why Start with EdCroma’s R Programming Course?
EdCroma’s R programming course provides a complete and accessible introduction to R, covering everything from the basics to advanced techniques. Enhance your data analysis capabilities and earn a recognized certificate in R programming today.
Explore Data Preparation to ensure data is ready for analysis and modeling.