Knowledge Hut

OCTOBER 5, 2023

AWS Big Data specialists should thoroughly understand programming languages such as C and C++, technological applications, and cloud environments. Besides, they should be well-versed in data analysis and statistics. Top Cities Offering AWS Big Data Certification Salary Bengaluru/Bangalore ₹18.4 to US $178,500 p.a.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

ProjectPro

SEPTEMBER 27, 2021

For example, a small value for correlation indicates the linear regression model will suit the data values. Correlation vs. Covariance In Finance and Portfolio Management Correlation and Covariance are statistical tools whose applications spread across different fields. How to find correlations among feature variables in R?

Datasets 52

Datasets Finance Portfolio Banking 52

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. This project is another instance of a banking project for business analysts. should be used and interpreted.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

FEBRUARY 24, 2016

If you do a quick google search for “data science jobs” or “data scientist jobs”, you will come across data scientist job opportunities in every industry. There is a need for data scientists across all industries. R is the language of choice for doing data analysis.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

AUGUST 21, 2015

IBM has a nice, simple explanation for the four critical features of big data: a) Volume –Scale of data b) Velocity –Analysis of streaming data c) Variety – Different forms of data d) Veracity –Uncertainty of data Here is an explanatory video on the four V’s of Big Data 3.

Hadoop 40

Hadoop Big Data Metadata Java 40