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.

Learn R By Intensive Practice. Take a look at these top-rated reviews... ★★★★★ " This course has delivered on what it's title describes. A+ "- Alejandro Suarez ★★★★★  " Your course has helped me a ton to grasp the basics of R language." - Surbhi Arya ★★★★★ "One of the best course for beginners to learn R!" - Manoj Poojary This Course Also Comes With: ✔ Numerous End-of-Lesson Challenges ✔ Real Data Manipulation Project and Grand Test ✔ Lifetime Access to All Future Updates ✔ Fast & Friendly Support in the Q&A section ✔ Udemy Certificate of Completion Ready for Download ✔ A 30 Day "No Questions Asked" Money Back Guarantee! R is known to have a steep learning curve and the explanations in most tutorials are often vague and high level. But this course is different. The concepts are structured in a step-by-step fashion where one concept leads to the next logical topic and build on it. All topics close with an associated coding challenge similar to what you'll encounter in real world. By the end of the course, you will not only understand how they work but you will feel comfortable to do any sort of data manipulation you can imagine. This kind of ability requires a lot of practice. Studies show that if you practice what you learnt within 24 hours of learning it, your understanding lasts longer and you gain the ability to instinctively apply what you learnt in the real world. That is why at the end of most lessons, you are posed a coding challenge and asked you to solve before moving to the next topic. I sincerely hope you take these challenges seriously. It matters less if you get the answer in a minute or an hour. What matters is that you make an honest attempt. Besides, I reveal the answer at the end of the videos.

R-Tutorials shows how to create convincing graphs in R Do you want to create insightful graphs? Do you want to show your data crystal clear? Do you want your data to be understood by everyone? Do you want a versatile graphics toolbox? Do you want powerful formatting skills? If you anwered YES to some of these questions - this course is for you! Data is useless if you do not have the right tools to build informative graphs. Plots need to be understood easily while being accurate at the same time. R-Tutorials gladly enlarges your data toolbox so that you can surmount in your career. R offers a variety of plotting devices, some of them (like ggplot2) are whole systems which need to be learned like a new language. R-Tutorials shows how to learn those languages. In this course you will learn about the most important plotting packages ggplot2, lattice and plotrix. According to the teaching principles of R Tutorials every section is enforced by exercises for a better learning experience. You can download the code pdf of every section to try the presented code on your own. The course starts with the base parameters which are needed to format and manipulate any basic graphs in R. After that you will learn about the most common types of graphs in R base and you will see some very useful graphical extensions of the plotrix package. Ggplot2 is a very famous graphs package and is viewed as the most powerful graphics device R has to offer. You will get an in depth tutorial on that package. At last you can see how Lattice offers some more very useful functions . With that knowledge you will have an extremely powerful toolbox to excel in your career and in your studies. What R you waiting for? Martin

Welcome to the course, R Programming from Scratch R is a powerful and widely used open source software and programming environment for data analysis. Companies across the globe use R as an essential tool for various types of analysis to get key insights from data and to make key decisions. This course will provide everything you need to know to get started with the R framework, and contains a number of demos to provide hands-on practice in order to become an efficient and productive R programmer. By the end of this course, you will also learn to play with data and to extract key information using various R functions and constructs. You will learn below: 1. Introduction 2. Installation of R Language 3. Installation of R Studio on Windows and Linux 4. Variable and Operators

APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN R COMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R Confounded by Confidence Intervals? Pondering Over p-values? Hankering Over Hypothesis Testing? Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life data from different sources using statistical modeling and producing publications for international peer reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course! I created this course to take you by hand and teach you all the concepts, and take your statistical modeling from basic to an advanced level for practical data analysis. With this course, I want to help you save time and learn what the arcane statistical concepts have to do with the actual analysis of data and the interpretation of the bespoke results. Frankly, this is the only one course you need to complete  in order to get a head start in practical statistical modeling for data analysis using R. My course has 9.5 hours of lectures and provides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks. GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION! AND GET A FREE VIDEO COURSE IN MACHINE LEARNING AS WELL! This course is your sure-fire way of acquiring the knowledge and statistical data analysis skills that I acquired from the rigorous training I received at 2 of the best universities in the world , perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One. To be more specific, here’s what the course will do for you: (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common advanced statistical data analysis tasks in R. (b) It will equip you to use R for performing the different statistical data analysis and visualization tasks for data modelling. (c) It will Introduce some of the most important statistical concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation. (d) You will learn some of the most important statistical modelling concepts from probability distributions to hypothesis testing to regression modelling and multivariate analysis. (e) You will also be able to decide which statistical modelling techniques are best suited to answer your research questions and applicable to your data and interpret the results. The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results. After each video you will learn a new concept or technique which you may apply to your own projects immediately! TAKE ACTION NOW :) You’ll also have my continuous support when you take this course just to make sure you’re successful with it.  If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you’re not completely satisfied with the course. TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.

'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!

This course is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise. Before proceeding with this course, you should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages will help you in understanding the R programming concepts and move fast on the learning track.