One common problem while working with beginners in data science is the confusion about what is a model and what is an algorithm. In this article, I will try to explain the difference between a model and algorithm in simple words. In simple words, an algorithm is a set of rules to follow to solve […]

## What is Regularization in Data Science – Lasso, Ridge and Elastic Net

While building a model in data science, our goal is to fit the model to our data in such a way that the model learns the general pattern/trend in the data. However, this doesn’t always happen. In some cases, the model will very closely follow the training data to the nose rather than just learning […]

## New Course – Credit Risk Modelling in R

We are pleased to announce the addition of a new course – Credit Risk Modelling in R – to our growing library of courses on Data Science for Finance Professionals. Course: Credit Risk Modelling Learn to model credit risk using statistical models such as logistic regression and decision trees with real-life data. In this course, our objective is […]

## Predictive Modelling: Splitting Data into Training and Test Set

One of the most important jobs of a data scientist is to build predictive models for specific business problems. For example, what is the probability that a consumer will default on its loan payment in the next month or its credit card payment. This is a typical example of a predictive model where the data […]

## New Course – Fixed Income Markets

We are pleased to announce the addition of a new course – Fixed Income Markets – to our library of courses for Finance Professionals. Course: Fixed Income Markets Learn the characteristics, analysis, and valuation of fixed income securities. This course provides a thorough understanding of fixed income markets and the analysis and valuation of fixed […]

## CFA Exam Adds Fintech, Big Data, and Data Analysis to 2019 Curriculum

Come 2019, the wealth managers and financial analysts aspiring to add the Chartered Financial Analyst designation to their credentials have one more subject to deal with. The CFA Institute has decided to add fintech to its 2019 exam curriculum. The new curriculum contains a section called fintech and adds study material on hot industry topics […]

## New Course – Equity Analysis and Valuation

We are pleased to announce the addition of a new course – Equity Analysis and Valuation – to our library of courses for Finance Professionals. Course: Equity Analysis and Valuation Learn the characteristics, analysis, and valuation of equity securities. This course provides a thorough understanding of the equity markets and the analysis and valuation of […]

## New Online Course – Derivatives

We are pleased to announce the addition of a new course – Derivatives – to our library of courses for Finance Professionals. Course: Derivatives Understand various derivative instruments (forwards, futures, options, and swaps), derivative markets, and the use of options in risk management. Derivatives are financial instruments that derive their value from the value of […]

## New Course – Financial Time Series Analysis with R

We are pleased to announce the addition of a new course – Financial Time Series with R – to our growing library of courses on Data Science for Finance Professionals. Course: Financial Time Series Analysis Learn the fundamentals of analyzing a financial time series in R This course provides an introduction to the financial times […]

## Applications of Data Science in Banking

The face of banking is changing and fast. Pick any aspect of banking – risk management, pricing, marketing outreach, customer outreach, product development, cost and revenue allocation – data science is there. The face of the banking industry has been evolving rapidly, particularly post the financial crisis of 2008. Banks were some of the earliest […]