Data Science Certificate Worth it ?

R language is a dynamic, array-based, object-oriented, imperative, functional, procedural, and reflective computer programming language. The language first appeared in 1993 but has become popular in the past few years among data scientists and machine learning developers for its functional and statistical algorithm features. R language is one of the most popular programming languages among data scientists and statistical engineers. R supports Linux, OS X, and Windows operating systems. There are several R packages available publicly to download on project R website here: https://cran.r-project.org/ The R interface to Tensor-Flow lets you work productively using the high-level Kara’s and Estimator APIs, and when you need more control provides full access to the core Tensor-Flow API: https://tensorflow.rstudio.com/ Now, let’s start with machine learning. In the first part, I will explain some data pre-processing steps and show them implementation code in R. Data Pr...

Whether you are an eager learner of data science or a well-grounded data science practitioner, you can take advantage of this an essential introduction to Python for data science. You can use it to the fullest if you already have at least some previous experience in basic coding, in writing general-purpose computer programs in Python, or in some other data analysis-specific language such as MATLAB or R.   Data science is a relatively new knowledge domain, though its core components have been studied and researched for many years by the computer science community. Its components include linear algebra, statistical modeling, visualization, computational linguistics, graph analysis, machine learning, business intelligence, and data storage and retrieval. Data science is a new domain and you have to take into the consideration that currently its frontiers are still somewhat blurred and dynamic. Since data science is made of various constituent sets of disciplines, ...