Courses on R programming for Data Science

Learn the fundamentals of R programming essential for data science.



This is an essential course in R programming and discusses the core programming principles of R.



The first section covers the fundamentals of R programming language and how to start using it for finance. You will also learn the basics of data analysis with R using the common data structures such as vectors, matrices, lists and data frames.



The next section covers the key topics like control structures, relational and logical operators, conditional statements, loops and functions.



You will also learn about how to import data into R from various sources such as flat files, excel files, databases, web and other software.



Finally, you will learn the concepts of R functions so that you can write your own functions and automate analysis tasks.

R Programming for Data Science

Learn the fundamentals of R programming language and how to start using it for finance.​



In this course you will learn the fundamentals of R programming language and how to start using it for finance.



R is one of the leading programming languages used in the financial industry where professionals have applied and used R in various areas such as analyzing financial data, building and evaluate statistical models, constructing optimized portfolios, credit risk modelling and more. R has become a tool of choice for financial professionals in their everyday data analysis needs. As the importance of analytics and data science continues to grow in the financial sector, every finance professional will boost their career by having R programming skills in their arsenal.



In this course, we will start with the basics of R programming starting with how to setup the tools to work with r programming. Then we will learn the basic concepts in R programming, starting from variables and basic operations, and then moving on to handling data structures such as vectors, matrices, data frames and lists.

Getting Started with R Programming

This tutorial will teach you about how to use R for portfolio analysis. We will be using various financial packages from R that will help us perform portfolio analysis.

Portfolio Analysis in R

Data Visualization with R

Financial Time Series Analysis in R

Quantitative Trading Strategies in R

Credit Risk Modelling in R

Derivatives with R

R Programming

Courses on Python programming for Data Science

Learn the fundamentals of Python programming language and how to start using it for finance.​



This course provides an introduction to the python programming language for data science. Python is a general-purpose, versatile, and popular programming language. Python is also a great language for data analysis and has been consistently gaining popularity.



In this course we will help you setup python on your system and introduce the most important programming concepts in Python, such as variables and various data types, how to write functions, how to use methods, and how to use packages and modules in Python. In future courses, we will deep dive into more complex things and apply our knowledge to data science problems.

Data Science

R Programming

Python Programming