Data Analyst in R


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Equip yourself with the necessary R skills to land your first job as a data analyst — or take your career to the next level by adding this in-demand programming language. You’ll learn how to program with R to explore and extract data and create data visualizations. By the end, you’ll be able to present insights thanks to deep statistical analysis.

(1 customer review)
Product is rated as #1 in category Data Analytics

Advantage of this course

About The Course

  • Dataquest is one of the most popular interactive data science learning platforms. Despite not having videos for each topic, their teaching methodology and project-based learning style are very effective.
  • The Data Analyst with R path, which also has a Python version, brings learners with no programming experience through the entire analytics pipeline using R and SQL.
  • Python is often the first choice for working with data, but if your goal is to become proficient in analytics, R plays more nicely with data and statistics out of the box. The language’s straightforwardness lets you be productive with data faster than Python in many cases.

What Will You Learn

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Course Contents

Introduction to R

Introduction to Data Analysis in R Data Structures in R Control Flow, Iteration, and Functions in R Specialized Data Processing in R

Data Cleaning in R

Introduction to Data Cleaning in R Advanced Data Cleaning in R

APIs and Web Scraping in R

Introduction to APIs in R Introduction to Web Scraping in R

Data Visualization

Introduction to Data Visualization in R

Working with Data Sources Using SQL

Introduction to SQL and Databases Summarizing Data in SQL Combining Tables in SQL Course Querying Databases with SQL and R SQL Subqueries Window Functions in SQL

Predictive Modeling and Machine Learning in R

Linear Regression Modeling in R Introduction to Machine Learning in R


While prior knowledge of data analytics is not always required, having basic mathematical skills and familiarity with computer applications can be beneficial. Some courses are designed for beginners and assume no prior experience.

Data analysts are in demand across various industries, including finance, healthcare, marketing, and technology, with opportunities for career growth and specialization.

While prior knowledge can be helpful, many data analytics courses are designed for beginners and assume no prior programming or advanced math background. The course will provide the necessary foundational knowledge.

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  1. karthik

    The best course

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