Python is growing in popularity as a favorite programming language because of its simple syntax, coding principles and even easier readability of the code. For newbie programmers, Python has proved to be a great and easy language to start coding in. Python is a simple, yet powerful programming language that offers high-level data structures and easy approach to object-oriented programming principles. The language allows developers to build complex websites, without any complex coding. Python is considered as an easy language to start coding in because of it doing away with complicated curly brackets, which can be found in other C-derived languages such as C, JavaScript, etc. Instead of brackets, Python relies on indents to distinguish codes.

R is a statistical programming language that allows you to build probabilistic models, perform data science, and build machine learning algorithms. R has a great package ecosystem that enables developers to conduct data visualization to data analysis.This video covers advanced-level concepts in R programming and demonstrates industry best practices. This is an advanced R course with an intensive focus on machine learning concepts in depth and applying them in the real world with R. We start off with pre-model-building activities such as univariate and bivariate analysis, outlier detection, and missing value treatment featuring the mice package. We then take a look linear and non-linear regression modeling and classification models, and check out the math behind the working of classification algorithms. We then shift our focus to unsupervised learning algorithms, time series analysis and forecasting models, and text analytics.

Do you want to step into the ever-growing field of data science? Do you wish to equip yourself with one of the most widely used language for data science? Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. Data is on the rise and it's the need of the hour to process it and make sense out it. Analysts and statisticians need to get this job done. It's an art to tactfully and efficiently process data.