Data is everywhere, and we need to quickly know how to analyze it to derive knowledge upon which we can make more informed decisions and actions.
According to the prestigious Harvard Business Review, the job of the data scientist will be the job of the 21st century, and the development of digital intelligence becomes an essential component of professional development.
In recent years it has become increasingly evident that there is a shortage of skilled professionals and data scientists in the job market.
This introductory course in applied data science for the social, behavioral or health sciences covers the concepts and various tools for starting a data science project and performing initial descriptive analyses.
This training will also develop the ability to create interesting visualizations of the analyzed data. This course will offer hands-on exercises to learn about data science and "open" research tools based on the work of the Open Science Framework.
This course proposes to use the R language, but also tools from the Python environment, including Google Colaboratory (Colab) and Jupyter Notebooks.
R is a programming language, in statistics and machine learning, whose popularity is growing in the social and health sciences.
Data science with R
Start in R:
R is a programming language derived from the S language, which was initially released in 1976.
R is one of the most widely used programming languages in the world. Although it is based on the static languages C and Fortran, R is a dynamic language, which means that code can be executed line-by-line or block-by-block: an important advantage for activities that require frequent interactions. Although R is primarily used for statistical computing, it is increasingly becoming a tool of choice in data science due to recent advances in analysis, modeling and visualization modules, many of which will be used in this manual.
The programming language is a bit like a language. At first, an R code may seem incomprehensible. And in front of your keyboard, we don't really know how to express what we want. As we learn, the symbols, functions, and style become more and more familiar, and we slowly learn to translate what we want to do into code.
Learn the R language:
Are you interested in Big Data and everything related to data Do you want to learn R language programming, but don't know where to start or what tools to use? Look no further, this course is for you! With this Introduction to Data Science with R Online course, you will learn the R programming language, as well as all the R software packages and tools needed to do Data Science, i.e. data manipulation, processing and visualization.
Data Science :
refers to the production of knowledge from the manipulation and processing of huge volumes of data. For the exploitation and processing of all this data, the data scientist uses complex statistical models, as well as programming languages such as Python or R. In this course, we will deal with R. R is a programming language and free software for statistics and data science supported by the R Foundation for Statistical Computing. During this course to learn Data Science with R online, you will be accompanied by Amandine Velt, data scientist expert in data manipulation techniques and R language. You will start this course with the installation and presentation of R software and language before taking your first steps with R and then you will discuss R matrices. Then, you will learn how to master R data frameworks as well as the basics of R programming. You will also discover advanced data manipulation with DPLYR and advanced data visualization with GGPLOT. Finally, you will end this course with a data science case study in which you will apply machine learning algorithms. Following this course to learn data science with R online, you will have in mind all the methods and techniques to manipulate and interpret data with R software and soon, the notions of functions, matrices, vectors, GGPLOT and DPLYR will have no secrets for you. So don't wait any longer, get on your keyboards and get started!
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