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R Programming for Data Science
Coursera
Specialization
Unknown

R Programming for Data Science

Logical Operations

Learn the fundamentals of R programming to perform common data science tasks including data analysis, statistical testing, and predictive modeling with advanced visualization tools.

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About this Course

In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This Specialization will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. This Specialization is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The Specialization is also designed for students with an interest in applying statistics to real-world problems

What You'll Learn

  • Use R to perform common data science tasks
  • Analyze data and perform statistical tests with R
  • Create predictive models and data-driven results
  • Visualize data using customizable graphs and plots

Prerequisites

  • Basic familiarity with the topic and its terminology
  • Ready to practice through applied exercises or case-based work

Instructors

B

Bill Rosenthal

Topics

Data Analysis
Data Science
Software Development
Computer Science
Computer Programming
Computer Programming Tools
Data Import/Export
Data Structures
Decision Tree Learning
Machine Learning

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
تطوير البرمجيات
علوم الحاسوب
برمجة الحاسوب
أدوات البرمجة
استيراد/تصدير البيانات
هياكل البيانات
Decision Tree Learning
Machine Learning

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