Essential Fundamentals of R is an integrated program that draws from a variety of introductory topics and courses to provide participants with a solid base of knowledge with which to use R software for any intended purpose. No statistical knowledge, programming knowledge, or experience with R software is necessary. Essential Fundamentals of R (7 sessions) covers those important introductory topics basic to using R functions and data objects for any purpose: installing R and RStudio; interactive versus batch use of R; reading data and datasets into R; essentials of scripting; getting help in R; primitive data types; important data structures; using functions in R; writing user-defined functions; the 'apply' family of functions in R; data set manipulation: and subsetting, and row and column selection. Most sessions present "hands-on" material that demonstrate the execution of R 'scripts' (sets of commands) and utilize many extended examples of R functions, applications, and packages for a variety of common purposes. RStudio, a popular, open source Integrated Development Environment (IDE) for developing and using R applications, is also utilized in the program, supplemented with R-based direct scripts (e.g. 'command-line prompts') when necessary.

Comprehensive Graphics with R is a thorough, comprehensive overview of each of three major graphics approaches in R: base, lattice, and ggplot. The course also demonstrates the use of the R Commander interface to create a variety of 2D and 3D graphics. Most of the course is engaged in live, "hands-on" demonstrations of creating a wide range of 2D and 3D plots and graphs using extensive scripts and data sets, all provided with the course materials. Adequate documentation including slides, exercises and exercise solutions are also provided. The course demonstrates (and uses) two of the most popular ‘front-ends’ to the R Console: R Commander and RStudio. We begin by exploring the range of graphics output available using both the R Commander and RStudio GUI interfaces to the R Console. The course then follows with a more in-depth examination of the graphics capabilities for each of the three main graphics systems, base, lattice, and ggplot. This course is a ‘must see’ for anyone who will use R and wishes to get the most out of the stunning variety of graphical charts, plots, and even animations that are available. The R software was designed from the outset to be particularly strong in visualization and graphical capabilities. However, if you are unaware of the full range of these capabilities you are missing opportunities to apply this wide variety of rich, powerful graphics to your own work and research projects. Accordingly, this course is specifically designed to comprehensively demonstrate and explain the broad range of graphical outputs that are available with R.

Hi there, Welcome to my “R For Beginners: Learn R Programming from Scratch” course. In this course, you will learn how to code with R Programming Language , manage and analyze data with R programming and report your findings. R programming language is a leading data mining technology. To learn data science, if you don’t know which high return programming language to start with. The answer is R programming. This R programming course is for : Students in statistical courses, Analysts who produce statistical reports, Professional programmers on other languages, Academic researchers developing the statistical methodology, Specialists in the various area who need to develop sophisticated graphical presentations of data, and anyone who is particularly interested in big data, machine learning and data intelligence. No Previous Knowledge is needed! This course will take you from a beginner to a more advanced level. If you are new to data science, no problem, you will learn anything you need to start with R. If you are already used to R and you just need a refresher, you are also in the right place. Here is the list of what you’ll learn by the end of course, · Installation · R Console Versus R Studio · R and R Studio Installation · Basic Syntax · Data Types in R · Operators and Functions in R · R Packages · Managing R Packages · Data Management in R · Getting Data into R · Computation and Statistics · Hands on Projects Experimental Learning After every session you will have a strong set of skills to take with you into your Data Science career. So, This is the right course for anyone who wants to learn R from scratch or for anyone who needs a refresher. Fresh Content It’s no secret how technology is advancing at a rapid rate. New tools are released every day, and it’s crucial to stay on top of the latest knowledge. You will always have up-to-date content to this course at no extra charge . Video and Audio Production Quality All our contents are created/produced as high quality video/audio to provide you the best learning experience. You will be, · Seeing clearly · Hearing clearly · Moving through the course without distractions You'll also get: ✔ Lifetime Access to The Course ✔ Fast & Friendly Support in the Q&A section ✔ Udemy Certificate of Completion Ready for Download Dive in now! We offer full support , answering any questions. See you in the course!

Extra Fundamentals of R is an extension of the Udemy course Essential Fundamentals of R. Extra Fundamentals of R introduces additional topics of interest and relevance utilizing many specific R-scripted examples. These broad topics include: (1) Details on using Base, GGPlot and Lattice graphics; (2) An introduction to programming and simulation in R; and (3) Character and string processing in R. All materials, scripts, slides, documentation and anything used or viewed in any one of the video lessons is provided with the course. The course is useful for both R-novices, as well as to intermediate R users. Rather than focus on specific and narrow R-supported skill sets, the course paints a broad canvas illustrating many specific examples in three domains that any R user would find useful. The course is a natural extension of the more basic Udemy course, Essential Fundamentals of R and is highly recommended for those students, as well as for other new students (and for practicing professionals) interested in the three domains enumerated above. Base, GGplot and Lattice (or "trellis) graphics are the three principal graphics systems in R. They each operate under different "rules" and each present useful and often brilliant graphics displays. However, each of these three graphics systems are generally designed and used for different domains or applications. There are many different programming and simulation scenarios that can be modeled with R. This course provides a good sense for some of the potential simulation applications through the presentation of 'down-to-earth,' practical domains or tasks that are supported. The examples are based on common and interesting 'real-world' tasks: (1) simulating a game of coin-tossing; (2) returning Top-Hats checked into a restaurant to their rightful owners; (3) collecting baseball cards and state quarters for profit: (4) validating whether so-called "streaky" behavior, such as have a string of good-hitting behavior in consecutive baseball games, is really unusual from a statistical point of view; (4) estimating the number of taxicabs in a newly-visited city; and (5) estimating arrival times for Sam and Annie at the Empire State Building ("Sleepless in Seattle"). R is likely best known for the ability to process numerical data, but R also has quite extensive capabilities to process non-quantitative text (or character) and string variables. R also has very good facilities for implementing powerful "regular expression" natural-language functions. An R user is bested served with an understanding of how these text (or character) and string processing capabilities "work." Most sessions present "hands-on" material that make use of many extended examples of R functions, applications, and packages for a variety of common purposes. RStudio, a popular, open source Integrated Development Environment (IDE) for developing and using R applications, is utilized in the program, supplemented with R-based direct scripts (e.g. 'command-line prompts') when necessary.

R is one of the most popular and widely used tools for statistical programming. It is a powerful, versatile, and easy to use tool for data analytics, and data visualization. It is the first choice for thousands of data analysts working in both companies and academia. This course will help you master R programming, as a first step to become a skilled R data scientist. Got the R knowledge and not sure what to do with it? This is your chance to finally get your hands dirty with the R and data science. Each lecture will you give you the tools to achieve the following two goals: Analyze your data using R. Find the right visualization for your data using various R tools and packages taught in the course. Draw some useful visualization and find some useful predictions based on the outcome. It will take just a few lines of code to get you started. For an added challenge, repeat the same analysis for your own data. Share your progress for a chance to receive feedback and suggestions. That way, this feedback can come not just from me but also from other students in the course.

'R Crash Course - a short and concise introduction to R and R Studio, R-programming for the Beginners' This is a R crash course for anyone who previously had no or very little contact with script-based programming in R. The main goal is to establish the basic understanding needed for more advanced courses that uses R language, RStudio and R-programming for example, for data science, machine learning or statistical analysis in R. This is also a baseline course that I will recommend to my students to take to refresh their knowledge on learn R-programming language for my upcoming data science courses in R. The best about this course that is a very concise manner (2 hours!) you will be able to learn all the fundamentals of R-programming that will enable you to get started with R! What will you learn in this course: § Package Management § Calculate with R § Variables § Vectors § Matrices § Lists § Data frames § Missing values § Functions § Control Structures § For loops All the R-scripts used in this course will be also provided to you. The course is ideal for professionals such as data scientists, statisticians, geographers, programmers, social scientists, geologists, and all other experts who need to use statistics & data science in their field. This course is NOT for you if you an intermediate or advanced user of R and don't need an introduction to R programming! Let’s get started!

If you want to learn how to perform the basic statistical analyses in the R program, you have come to the right place. Now you don’t have to scour the web endlessly in order to find how to compute the statistical indicators in R, how to build a cross-table, how to build a scatterplot chart or how to compute a simple statistical test like the one-sample t test. Everything is here, in this course, explained visually, step by step. So, what will you learn in this course? First of all, you will learn how to manipulate data in R, to prepare it for the analysis: how to filter your data frame, how to recode variables and compute new variables. Afterwards, we will take care about computing the main statistical figures in R: mean, median, standard deviation, skewness, kurtosis etc., both in the whole population and in subgroups of the population. Then you will learn how to visualize data using tables and charts. So we will build tables and cross-tables, as well as histograms, cumulative frequency charts, column and mean plot charts, scatterplot charts and boxplot charts. Since assumption checking is a very important part of any statistical analysis, we could not elude this topic. So we’ll learn how to check for normality and for the presence of outliers. Finally, we will perform some basic, one-sample statistical tests and interpret the results. I’m talking about the one-sample t test, the binomial test and the chi-square test for goodness-of-fit. So after graduating this course, you will know how to perform the essential statistical procedures in the R program. So… enroll today!

If you've always been a bit curious about how R works (specifically, how to do data wrangling with it) this course is for you. I cover a nice example and demonstrate lots of nifty, very useful techniques for turning a collection of messy data sources into something that's tidy. Many of the essential components of your data wrangling toolkit will be covered. This is not exactly a theoretical style course. I'm not going to go be explaining all the different techniques available to you with R code. Rather, this is a brief-ish demonstration-style course.. where you can follow along.

Have you ever wanted to code and use data to your advantage? Well, you've come to the right place! After purchasing this course, you'll be taken step-by-step through every process needed to do just that. Funded by a #1 Kickstarter Project by Mammoth Interactive. Our very talented instructor John Kemp, explains everything from a basic, beginner level. That means, you don't have to have any prior coding experience to succeed here. R Programming for Absolute Beginners: from Data Analytics to Visualization to Machine Learning! 5 hours on-demand video! Learn offline via the Udemy app 14 Articles 12 Downloadable Resources Full lifetime access Manipulate Data and Learn about Matrices with R. Data scientist and online mentor John Kemp will take you through the process of learning to code from scratch in a massively popular programming language: R in RStudio. You will learn everything it takes to be a data analyst, including: inputting and outputting data manipulating and storing solving business problems visualizing data making predictions using machine learning and so much more with the abundant R packages of the exploding R community. Learn Online at ANY Pace! The beauty of taking an online course like this is the ability to replay any of the lectures at any time. There is no time limit or final tests. You get to learn at your own pace with a practical model method of learning. One of the best features is that you can watch the courses at any speed you want. This means you can speed up the or slow down the video if you want to. This course is project-based so you will not be learning a bunch of useless coding practices. At the end of this course you will have real world apps to use in your portfolio. We feel that project based training content is the best way to get from A to B. Taking this course means that you learn practical, employable skills immediately. You can use the projects you build in this course to add to your LinkedIn profile. Give your portfolio fuel to take your career to the next level. Learning how to code is a great way to jump in a new career or enhance your current career. Coding is the new math and learning how to code will propel you forward for any situation. Learn it today and get a head start for tomorrow. People who can master technology will rule the future. An Amazing Instructor Deep in the Field. John Kemp has been programming in R as a data scientist since 2011. He has spent 100+ hours tutoring students online to help them learn R from scratch or to enhance their R abilities. John has been set up as an online mentor to partner with students looking to enter into the data science profession. In addition, John uses R as a hobby and will also help various businesses with data manipulation, network optimization and other data science tasks. Enroll Now while on Sale!

Do you want to master the most widely used language? Want to be in the league of the achievers and have your own success story? BEGIN THE EXCITING EXPEDITION OF LEARNING THE MOST WIDELY USED LANGUAGE!!! We are working towards making the world a better place with programming and learning R is the most bankable support that one can provide to its career. This course will take you through an exciting journey and you will surely feel overwhelmed with it. Moving slowly and steadily is the mantra behind this one so that you grasp each and every part religiously. The course will lead the way in making you learn how to do programming in R and use it for an effective analysis of data. As we start from the very basics we will guide you through installing the software essential for the programming to everything that needs to be a part of the curriculum to make you a proficient R programmer. Irrespective of the fact whether you have learned to program before or not, you can excel in the course if you do not move in the classroom with any inhibitions. With the knowledge acquired you will be able to easily work upon data analysis. As an important part of the changing world, this course will surely give you an upgrade to stand firm in these competitive times . You will become ready to climb the ladder of success with the certification in your hand. The course will definitely be a great learning experience as it is meticulously designed to make you more skilled. Our course has been created by the connoisseur of the programming language who is accustomed to it from the top to the bottom having great exposure and experience. Videos, written documents, quizzes, and exercises are the tools that we provide to make you understand the course in a better manner, add to your knowledge, and enrich your experience. The benefits after the course get completed • Gain knowledge of the basic principles of programming • Comprehend the critical concept of R programming from the basics • Understand to import and Export data • Gain knowledge of the different operators that help in performing the tasks • Get an understanding of the different data types and data structures • Acquire the knowledge of how to create vectors and variables in R • Comprehend how to build and use matrices in R • Learn about character, integer, numeric, double, logical, complex types in R • Become proficient in installing and handling packages in R • Understand Subsetting data in R • Comprehend data management and missing values in R • Gain knowledge of how to create a loop and if-else statement in R • Familiarize oneself with descriptive statistics • Learn to apply family in R • Get an understanding of data manipulation in R • Become proficient in summarizing the data graphically Some facts that need your attention • R is the most widely used open-source programming language • R is the IT skill that is highest paid • There are over 2 million R users around the globe • The number of R users is increasing by 40% every year • R is growing faster if compared to any other data science language • 70% of data miners use it • A lot of organizations are making use of it Reasons that make the course better than its contemporaries • Specialists from the field to teach the participants • Curriculum that is designed keeping in mind the requirements of the time • Tools added for a complete understanding of the subject • Recordings and videos to simplify things and make it exciting Words of appreciation from our Students 1. “A great to start with and the trainer took his time to teach the material methodically and overall did a great job. Additionally, for a course that is portrayed as 'R for Data Science', it is definitely a very good one to learn and enhance your career.”- Gunjan Tiwari 2. “I have very high expectations already. I am new to R programming but never found it tough to understand. I like the method of training and already started loving it. Good course and a great initiative by Henry Harvin” Abhay Srivastava 3. “This course is highly recommended for those who want to learn R from the scratch. The course moves at a great pace without creating any dull moments. It helps in developing the skill and being a proficient R programmer.” Lucky Mehndiratta 4. “The classes were really interactive, and I found the trainer very experienced and helpful. I felt free to clear my doubts and they were always there to help us all. I found Henry Harvin as the best platform for learning the course with top-class trainers and would suggest to my friends.” Samuel Thomas 5. “The course is very well-designed. The faculty pays a lot of attention at the individual level. The trainers give their best to deliver the course and this is the best part. The course itself becomes enriching if the person imparting it is good. So, I would love to recommend this course to others as well” Abheesha Gupta