1 / 8

R programming- Intermediate Level

R is a programming language and software environment for statistical analysis, graphics representation and reporting. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team. R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows and Mac. This programming language was named R, based on the first letter of first name of the two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name

careervira
Download Presentation

R programming- Intermediate Level

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Top 20 R Programming Courses for Intermediate Level Coding is made easier by R programming, which is why many data scientists prefer it over other programming languages. For someone who is intrigued by this language and its work and wants to learn R through certifications, this list article is perfect for you. Introduction to R programming R Programming or R is a programming language designed for statistical computing and graphics. R is an open-source programming language used as data analysis and statistical software tool. You can learn the R Programming language as it is useful not just for technical fields but also for business. The emergence of R in the Data Science field has opened many job opportunities in this field. We have constructed this list article which consists of the top intermediate-level skills required, course providers and intermediate-level R programming courses. Read along to find out how you can start your journey in this realm and choose a course that is best suited for you. Top R programming Skills Required at Intermediate Level The important skills required for R programming are as under: ● Data visualization Data visualization is used for the graphical demonstration of data. It is a methodology to convert raw data into charts. Data visualization can help make data more comprehensive. Data visualization skills while using R can help interpret data quickly and efficiently. ● Statistics with R R comes with a variety of features to perform statistical analysis on data sets. Some major statistical concepts that you should be well versed with are: ➔ Mean, median, mode and range in R. ➔ Quartiles and interquartile ranges. ➔ Variance and standard deviation. Top R programming Learning Platforms There are various learning platforms available for R Programming. The top course providers are listed as under: ● Codecademy: It is an online skill development platform with the goal of setting an interactive way of learning that is engaging, flexible and accessible globally.

  2. Coursera: It is a US-based online course provider that works with various universities to come up with online courses, certifications and degrees in varied subjects. ● Eduonix: development online courses and workshops for learners. Its learning solutions provide easy-to-understand training and skill ● Datacamp: It equips companies and individuals with all the skills they need to work with data in the real world. Their USP is that they provide a hands-on learning experience with interactive exercises, short videos and job assistance. ● One Education: It is an online learning platform with a team of industry professionals delivering content. Its aim is to help people gain practical knowledge and skills to enhance their careers. ● Dataquest: It aims at teaching data skills to the whole world. It is an online course provider making data skills accessible to the whole world. ● PluralSight: It is an online course provider with over 1500+ expert authors and 1700+ employees and is trusted by 70% of the Fortune 500 companies. Their aim is to create progress through technology and develop the skills of tomorrow. ● Udacity: It is a leading certification and course provider to train the world’s workforce in the careers of the future. They partner with leading technology companies to identify the critical skills required and bring them to everybody’s doorstep. Top R Programming Courses We have prepared a list of the top R programming courses available for intermediate-level learners that you can refer to: 1. Software Architect Design by Udacity ● This course teaches the principles and concepts involved in the analysis and design of large software systems. Pedagogy: This self-paced course has a duration of 2 months and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course provides hands-on training to its learners for real-world applications. Faculty: This course has international faculty with ample experience as instructors. Price: You can join this course free of cost. ● ● ● ● 2. Creating Web Services with Go 1 by Pluralsight ● This course will teach you how to create restful web services with Go's standard library.

  3. Pedagogy: This self-paced course has a duration of 150 minutes and includes downloadable courses, instructor-moderated interactions. Hands-on approach: This course comes with case-based learning and a capstone project towards the end. Faculty: This course has international faculty with over 10 years of experience in the field of development. Price: You can join this course for: ○ ₹1499 ○ $21 ○ £15 discussions and post-course ● ● ● 3. Importing & Cleaning Data with R by Datacamp ● This track will teach you how to import data from many sources including.csv and.xls. Pedagogy: This self-paced course has a duration of 14 hours and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course has hands-on training, virtual labs and capstone projects for its learners. Faculty: This course has international faculty. Price: You can join this course for: ○ ₹964 ○ $13 ○ £10 ● ● ● ● 4. Foundations of Functional Programming with purr by Datacamp ● This course will teach you how to export data to any object, including vectors, lists, and other objects. Pedagogy: This self-paced course has a duration of 4 hours and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course has hands-on training, virtual labs and capstone projects for its learners. Faculty: This course has international faculty. Price: You can join this course for: ○ ₹964 ○ $13 ○ £10 ● ● ● ● 5. Manipulating Time Series Data with xts and zoo in R by Datacamp ● ● This course will cover everything you need to know about xts. Pedagogy: This self-paced course has a duration of 4 hours and comes with instructor-moderated discussions and post-course interactions.

  4. Hands-on approach: This course has hands-on training, virtual labs and capstone projects for its learners. Faculty: This course has international faculty. Price: You can join this course for: ○ ₹964 ○ $13 ○ £10 ● ● 6. Time Series with Data Table in R by Datacamp ● ● This course will show you how to master data table data series data. Pedagogy: This self-paced course has a duration of 4 hours and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course has hands-on training, virtual labs and capstone projects for its learners. Faculty: This course has international faculty. Price: You can join this course for: ○ ₹964 ○ $13 ○ £10 ● ● ● 7. Control Flow, Iteration and Functions in R by Dataquest ● In this course, you'll learn about control flow (including if-else statements) and conditionals. Pedagogy: This self-paced course extends for 4 hours and comes with post-course interactions. Hands-on approach: This course provides hands-on training and a capstone project for its learners. Price: You can join this course for: ○ ₹3699 ○ $51 ○ £37 ● ● ● 8. Probability: Fundamentals in R by Dataquest ● With this course, you will be able to distinguish between experimental and theoretical probability. Pedagogy: This self-paced course extends for 5 hours and comes with post-course interactions. Hands-on approach: This course provides hands-on training and a capstone project for its learners. Price: You can join this course for: ○ ₹3699 ○ $51 ● ● ●

  5. £37 9. Data Cleaning in R by Dataquest ● This course will teach you how to clean common data using the R programming language. Pedagogy: This self-paced course extends for 7 hours and comes with post-course interactions. Hands-on approach: This course provides hands-on training and a capstone project for its learners. Price: You can join this course for: ○ ₹3699 ○ $51 ○ £37 ● ● ● 10. Specialized Data Processing in R: Strings and Dates by Dataquest ● This course will teach you techniques such as string indexing, concatenation, and how to interpret, process and analyze text data. Pedagogy: This self-paced course extends for 4 hours and comes with post-course interactions. Hands-on approach: This course provides hands-on training and a capstone project for its learners. Price: You can join this course for: ○ ₹3699 ○ $51 ○ £37 ● ● ● 11. Analyzing Tweets Using R by eduonix ● This course teaches you how to gather data from Twitter using RÂ Programming, how to conduct basic analysis of the data gathered from Twitter and how to extract the emotion expressed in the tweets gathered. Pedagogy: This self-paced course has a duration of 3.2 hours and comes with lifetime access, instructor-moderated discussions and post-course interactions. Faculty: This course has international faculty. Price: You can join this course for: ○ ₹300 ○ $4 ○ £3 ● ● ● 12. Introduction to Maps in R Shiny and Leaflet by One Education ● This course will show you how to master the R programming language and create functional Web GIS applications with it.

  6. Pedagogy: This self-paced course extends for 2 hours and comes with instructor-moderated discussions and post-course interactions. Faculty: The faculty of this course provides personalized teaching for its learners. Assessment: This course ensures regular assessments and exams for self-evaluation. Price: You can join this course for: ○ ₹2598 ○ $36 ○ £26 ● ● ● 13. Statistical Concepts in R by One Education ● ● This course is the best way to gain deep insights and knowledge about this topic. Pedagogy: This self-paced course extends for 3 hours and comes with instructor-moderated discussions and post-course interactions. Faculty: The faculty of this course provides personalized teaching for its learners. Assessment: This course ensures regular assessments and exams for self-evaluation. Accreditations: This course is accredited by The CPD Certificate Service. Price: You can join this course for: ○ ₹2598 ○ $36 ○ £26 ● ● ● ● 14. Data Science and Machine Learning with R by One Education ● This course will help you to understand data manipulation in R, key R techniques to create reports using R markdown, data processing in R, and much more. Pedagogy: This self-paced course extends for 3 weeks and comes with instructor-moderated discussions and post-course interactions. Faculty: The faculty of this course provides personalized teaching for its learners. Assessment: This course ensures regular assessments and exams for self-evaluation. Accreditations: This course is accredited by The CPD Certificate Service. Price: You can join this course for: ○ ₹2598 ○ $36 ○ £26 ● ● ● ● ● 15. Learn dplyr by Codecademy

  7. This course introduces the dplyr program and shows how to use it in conjunction with R. Pedagogy: This self-paced course has a duration of 8 hours and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course provides a capstone project towards the end. Price: You can join this course for: ○ ₹999 ○ $14 ○ £10 ● ● ● 16. Predicting Credit Card Fraud with R by Coursera ● This project-based course will teach you how to use R for credit card fraud detection. Pedagogy: This self-paced course has a duration of 1.5 hours and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course is equipped with case-based learning, virtual labs and a capstone project. Faculty: This course has international faculty. Price: The pricing of this course is not available. ● ● ● ● 17. Financial Risk Management with R by Coursera ● This course is offered by Duke University and will teach you how to calculate the return on a portfolio of securities and quantify the market risk. Pedagogy: This self-paced course has a duration of 15 hours and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course is equipped with case-based learning, virtual labs and a capstone project. Faculty: This course has international faculty. Price: The pricing of this course is not available. ● ● ● ● 18. RStudio for Six Sigma- Process Capability by Coursera ● This course will equip you with skills such as RStudio, R programming and Six Sigma management. Pedagogy: This self-paced course has a duration of 2 hours and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course is equipped with case-based learning, virtual labs and a capstone project. Faculty: This course has international faculty. Price: The pricing of this course is not available. ● ● ● ● 19. Manipulate R Data Frames Using SQL in RStudio by Coursera

  8. This project will teach you how to use SELECT statements with the WHERE clause in order to create conditions for data retrieved from the R data frame. Pedagogy: This self-paced course has a duration of 2 hours and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course is equipped with case-based learning, virtual labs and a capstone project. Faculty: This course has international faculty. Price: The pricing of this course is not available. ● ● ● ● 20. Visualizing Static Networks with R by Coursera ● This project will help learners visualize different types of static networks of Marvel heroes using the base R plot functions and the igraph package. Pedagogy: This self-paced course has a duration of 2 hours and comes with instructor-moderated discussions and post-course interactions. Hands-on approach: This course is equipped with case-based learning, virtual labs and a capstone project. Faculty: This course has international faculty. Price: The pricing of this course is not available. ● ● ● ● Explore Information Technology courses Explore programming courses Explore R programming courses

More Related