Knowledge Hut

DECEMBER 26, 2023

Offer a Wide Range of Specializations: Students are free to select from a wide variety of specializations, from traditional fields (such as languages, finance, accounting, mathematics, and economics) to contemporary fields (Machine Learning, Deep Learning, Cybersecurity, Cloud Computing, etc.)

Certification 95

Certification Java Google Cloud Education 95

Knowledge Hut

JUNE 3, 2024

A certification in a Data Science course is highly recommended to develop the portfolio. R programming This programming language is used for statistical computing and graphic support. SQL This is a programming language that is used for managing data. SAS SAS stands for Statistical Analytics Software.

Programming Language 96

Programming Language Data Science Entertainment Banking 96

ProjectPro

SEPTEMBER 27, 2021

Correlation vs. Covariance In Finance and Portfolio Management Correlation and Covariance are statistical tools whose applications spread across different fields. One such field is finance , where investors often use them in stock markets. How to find correlations among feature variables in R?

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 Algorithm 52

Knowledge Hut

FEBRUARY 12, 2023

Data scientists find their roles in retail, research and development, the pharmaceutical industry, healthcare, e-commerce, marketing, and finance. Since they are highly sought-after careers, the portfolio of candidates with no experience must be strong. The various jobs are placed at different levels that are as follows: 1.

Data Science 52

Data Science Computer Science Portfolio Certification 52

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. If you are specifically looking for business analyst finance planning projects for beginners , this project will be a good start.

Business Analyst 52

Business Analyst Project Retail Datasets 52