|Course or Certification Name||Category||Location||Mode of learning|
|Certification in R Programming (CIRP) Online self study||Analytics & Statistics tools||24/7 Anywhere||Online self study|
|Data Science with R Professional||Data Science||24/7 Anywhere||Online self study|
|DATA SCIENCE WITH R, PYTHON & MACHINE LEARNING||Data Science||Classroom|
|Text Mining and Natural Language Processing in R||Data Science||24/7 Anywhere||Online self study|
|Data Science:Data Mining & Natural Language Processing in R||Data Science||24/7 Anywhere||Online self study|
|Introduction To Data Science Using R Programming||Data Science||24/7 Anywhere||Online self study|
|Data Science Certification Training - R Programming||Data Science||24/7 Anywhere||Online self study|
|XLRI Executive Program in Data Science using Python, R & Excel||Data Scientist||Online Classroom|
|Advanced Business Analytics with R||Business Analytics||Online Classroom|
|R Programming for Absolute Beginners||Analytics & Statistics tools||24/7 Anywhere||Online self study|
|Business Analytics SAS R Combo||Business Analytics||24/7 Anywhere||Online self study|
|Applied Machine Learning With R||Machine Learning||24/7 Anywhere||Online self study|
|Diploma in Business Analytics using R programming||Business Analytics||Online Classroom|
|Projects in R: Learn R Creating Data Science Projects||Data Science||24/7 Anywhere||Online self study|
|Become a Data Scientist with SAS, R and Python||Data Science||24/7 Anywhere||Online self study|
The Certification in R Programming (CIRP) is a comprehensive, short-term program that provides aspirants with a thorough understanding of R for careers in Data Analytics, delivered using self-paced learning elements via an online learning platform.
Data Science is an inter-disciplinary filed that uses scientific methods, processes and systems to extract useful insights from data. R is an open-source programming language used in data science for statistical computing and graphics. | This Certified Data Science with R Professional course has been specifically designed for candidates to get the requisite skills and knowledge to work as data scientists | It also provides the necessary training to the candidates to have working experience in R as per the requirements for data analysis and statistical computing | The course has been developed by expert professionals and has quality online learning modules | It offers candidates a course-completion certification, accepted globally
Machine learning is one of the key components of datascience. R and Python are one of the most used programming languages and command a huge demand in the data science job market. This module gives you exposure to both R and Python that prepares you for delivering in either of the platforms.
Projects in R: Learn R Creating Data Science Projects, is an online course by Eduonix Learning Solutions that will help you to implement the methods using real data obtained from different sources. The participants will also learn to use the common social media mining and natural language processing packages to extract insights from text data.
This course will help you implement the methods using real data obtained from different sources.After taking this course, you will easily use packages like caret, dplyr to work with real data in R. You will also learn to use the common NLP packages to extract insights from text data.
Data Science Using R Programming is a professional programme that aims towards making the professional familiarize with the basics of R programming language and data visualizations in the early stages of the course. Later on, the course will progress to more advanced concepts and visualization strategies.
This course forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science. By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019 | Wired.com points to a report by Glassdoor that the average salary of a data scientist is $118,709 | Randstad reports that pay hikes in the analytics industry are 50% higher than the IT industry
Businesses today are trying to engage with data science in one form or another. Unfortunately, only a few have been able to even grasp the idea of what constitutes data science, let alone implement it usefully and profitably. This program introduces its participants to the world of data science. The objective is to strip away all the distractions around data science – codes, tools, etc., and teach the techniques using practical cases that can be understood and appreciated by someone with an elementary knowledge of mathematics. This program uses hands-on approach to data science where participants get to work with data sets to generate insights for businesses. | The objective of this program is to introduce participants to the world of data science. The purpose of this program is to strip away all the distractions around data science – codes, tools, etc., and teach the techniques using practical cases that can be understood and appreciated by someone with an elementary knowledge of mathematics.
Learn to derive business insights from large and Complex data. In-depth course in Business analytics. In this course you will learn: | Optimize business situations that involve whole numbers, such as employees to deploy & Optimize business decisions that take multiple input variables to predict between two possible outputs. | Model decisions under a variety of future uncertain states, depending on the decision maker's proneness or aversion to risks | Compute correlation where, at first glance, there seem to be none – correlation between data points in a time series & compute the regression model for time series data that has correlation within itself | Optimise business situations where two variables do not move in a linear fashion & test hypothesis for experiments involving different treatments | Model continuous outcomes that depend on more than one input variable & Group data points dynamically based on the similarities among the members of each group
R provides a range of statistical and graphical techniques including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc. It also simplifies the process of creating mathematical symbols and formulae, when required. | The course will take you from Point A to B and at the end of this course you will have the confidence and experience to start writing codes and structure algorithms by yourself. We have also packed this course with multiple live real-world examples that will help you not only understand the theory behind R, but also how it actually works in application.
It is an all-in-course designed to give a 360 degree overview of R programming and use of SAS Software. The major topics include Data Structures, Variables, Control Flow, Functions and getting Data into the R environment, Overview of Statistics in R, Descriptive Statistics, Inferential Statistics, Linear Regression, Sophisticated Graphics in R, R programming for Mapping and GIS and Integrating R programming with Hadoop. The course further covers Data Values using SAS Formats, Reading SAS data sets, Reading spreadsheet and database data, Manipulating data using SAS functions, Debugging techniques using the PUTLOG Statement.
Applied Machine Learning with R is a hands-on course Machine Learning and Artificial Intelligence course. This course covers the core concepts of machine learning, along with machine learning algorithms. You will also learn how to implement those machine learning algorithms with R and after completion of the course, you will be able to use them in your own projects.
Business Analytics refers to the skills and technologies that helps in analyzing past business performances in order to gain insights and formulate business plans for the future. A business analyst analyzes business performance on the basis of data and statistical methods. Therefore, statistical and quantitative analyses of data are the underlying concepts of Business Analysis. | R is the most pervasive statistical analysis package currently available. It includes all standard statistical tests and models as well as provides a comprehensive language for managing and manipulating data. | The R programming language has outstanding graphical capabilities, providing a fully programmable graphical language that is far superior to other statistical and graphical packages. Therefore, R programming makes the task of Business Analysis easier. | R wins Statistical Capability, Graphical capability, Cost, rich set of packages and is the most Powerful tool for Data Scientists. | The average salary of a Senior Data Scientist skilled in R is USD 123,000 (pay scale salary data); they are heavily sought after in Fortune 500 companies. | R opens up career opportunities in almost every industry and vertical. Data science skills are also quickly becoming transferable between industries
In this course, we attempt to break down this complex programming language and environment into an easy to follow structured tutorial that will help you not only understand this statistical language, but also become more familiar with how you can go about using it.