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. R is the language of choice for doing data analysis.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

Knowledge Hut

JANUARY 16, 2024

Some of the applications with promising career prospects include healthcare, finance, insurance, pharmaceuticals, farming, retail, oil and gas, and more. Several programming languages can be used to do this. R Programming: R is a programming language built by statisticians specifically to work with programming that involves statistics.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

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

ProjectPro

DECEMBER 14, 2021

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling.

BI 52

BI Project Datasets Business Intelligence 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. The course teaches R-programming, which has wide applications in various industries. The various jobs are placed at different levels that are as follows: 1.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

JANUARY 20, 2022

Role of an ML Engineer in Finance Industry (Morgan Stanley) A Machine Learning Engineer working at Morgan Stanley is responsible for creating applications that support their machine learning platform and facilitate ML Ops adoption. The application of price optimization is widespread in airlines, hotels, banking and finance , and retail.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

Knowledge Hut

FEBRUARY 7, 2023

How to ensure that data science project delivers profits to business Ensuring value to the business is the most important aspect because the platform is of no great use if it completes the tasks but, in the process, utilizes lots of resources and results in losses to the finances.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

DECEMBER 22, 2016

Some cases where time series analysis can be used are in the finance, retail and economic sectors where prices constantly fluctuate with time. Time series analysis is performed on non-stationary data - where the data points fluctuate over a period of time. Stock prices are also affected over time. 21) What is an ROC curve?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52