Knowledge Hut

JUNE 3, 2024

Whether fraud detection in a bank or finding a country's happiness index, Data Science will be around for a long time. Your watch history is a rich data bank for these companies. Therefore, the most important thing to know is programming languages like Java, Python, R, SAS, SQL, etc.

Programming Language 96

Programming Language Entertainment Data Science Banking 96

Knowledge Hut

OCTOBER 5, 2023

AWS Big Data specialists should thoroughly understand programming languages such as C and C++, technological applications, and cloud environments. DBS Bank INR 31.5L – 40.3L Data structures, data modeling, and programming skills are essential. Besides, they should be well-versed in data analysis and statistics.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

ProjectPro

SEPTEMBER 27, 2021

Correlation vs. Covariance In Finance and Portfolio Management Correlation and Covariance are statistical tools whose applications spread across different fields. Before we start with the project ideas, here are a few simple tutorials that you should go through to understand how simple it is to use them in Python and R programming languages.

Datasets 52

Datasets Finance Portfolio Banking 52

ProjectPro

SEPTEMBER 6, 2021

Machine Learning Use Cases in Finance Fraud Detection for Secure Transactions According to a study , banks and other financial organizations spend $2.92 Deep learning solutions using Python or R programming language can predict fraudulent behavior. It is continually achieving better model portfolios as a result.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

ProjectPro

FEBRUARY 24, 2016

However, some industries like Retail and Consumer goods, Banking and Finance, IT services, Travel, Transportation, Real-estate, and Manufacturing are experiencing higher demand and offer increasingly competitive salaries for skilled data scientists. Python programming language helps data scientists get data into a form to be analyzed.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

AUGUST 11, 2016

However, if you discuss these tools with data scientists or data analysts, they say that their primary and favourite tool when working with big data sources and Hadoop , is the open source statistical modelling language – R. This limitation of R programming language comes as a major hindrance when dealing with big data.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

NOVEMBER 30, 2021

You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. For understanding banks’ business model, it is crucial to learn the whole process of approving a loan application.

Business Analyst 52

Business Analyst Project Retail Datasets 52