You are interested in learning about R Programming and getting into the wide realm of Data Science. You have probably wondered what is the most practical way of getting your feet wet in Data Science (even if you are not interested in this, you should seriously consider so since in the next 10-15 years, Data Science and Artificial Intelligence will be everywhere). I have learned over 14 programming languages such as JAVA, Python, C++, R, Matlab, Ruby, CSS, HTML, Angular JS, Java Script as well as other . I have also had a successful freelancing career programming software and mobile applications and well as working as a finance data analyst. Since technology is changing every day, it is adding new realms of complexity to data science than is already out there. It is getting exponentially harder for new people to learn and navigate the immense amount of data science aspects. My job in this course is to demyistify Data Science and Machine Learning so you can see a clear road to success as a R Data Scientist. This course serves to help you navigate R and know what this seemingly difficult concept really is. In this course, I cover what it is like to be a data analyst, what are some jobs of data analysts, what are the sorts of super powers you can possess by learning R, and also what resources you will need on your path to development as a R Data Application Developer. My hope is to transform you in 4-5 lectures from being a novice in data science to having a strong stance about R and what is possible with R to being someone who has a clear idea of whether he/she is interested in R and what path they can take to further their knowledge and harness the POWER of the dynamic R language. There is no risk for you as a student in this course. I have put together a course that is not only worth your money, but also worth your time. This course encompasses the basics of R I urge you to join me on this journey to learn how you can start learning how to dominate data and how you can supercharge your data science understanding.

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

YOUR COMPLETE GUIDE TO ARTIFICIAL NEURAL NETWORKS & DEEP LEARNING IN R: This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science. In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level! LEARN FROM AN EXPERT DATA SCIENTIST: My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University. I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic . This course will give you a robust grounding in the main aspects of practical neural networks and deep learning. Unlike other R instructors, I dig deep into the data science features of R and give you a one-of-a-kind grounding in data science... You will go all the way from carrying out data reading & cleaning  to to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R. Among other things: You will be introduced to powerful R-based deep learning packages such as h2o and MXNET. You will be introduced to deep neural networks (DNN), convolution neural networks (CNN) and unsupervised methods. You will learn how to implement convolutional neural networks (CNN)s on imagery data using the Keras framework You will learn to apply these frameworks to real life data including credit card fraud data, tumor data, images among others for classification and regression applications. With this course, you’ll have the keys to the entire R Neural Networks and Deep Learning Kingdom! NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED: You’ll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R. My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real-life. After taking this course, you’ll easily use data science packages like caret, h2o, mxnet, keras to implement novel deep learning techniques in R. You will get your hands dirty with real life data, including real-life imagery data which you will learn to pre-process and model You’ll even understand the underlying concepts to understand what algorithms and methods are best suited for your data. We will also work with real data and you will have access to all the code and data used in the course. JOIN MY COURSE NOW!

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.

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.

'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