Knowledge Hut

MARCH 14, 2024

Data Analysis: Proficiency in data analysis is crucial for a manager to make informed, data-driven decisions. Desired skills include familiarity with tools like R programming, Python, and Business Intelligence ( BI ) software such as Tableau and Power BI.

Management 52

Management Certification Education Portfolio 52

Knowledge Hut

OCTOBER 5, 2023

Amazon AWS Learning in big data also extends to data management challenges like increasing volume and variations in data. Acquiring certification in Big Data Specialty helps professionals gain in-depth knowledge of AWS big data concepts and effective utilization of big data.

Big Data 52

Big Data AWS Certification Amazon Web Services 52

ProjectPro

SEPTEMBER 27, 2021

It plays a crucial role in determining the key features using principal component analysis. The correlation matrix is utilized for determining patterns in a dataset and deducing highly correlated variables. For example, a small value for correlation indicates the linear regression model will suit the data values.

Datasets 52

Datasets Finance Portfolio Banking 52

Knowledge Hut

FEBRUARY 12, 2023

Data science jobs for freshers in USA employ graduates from master programs in disciplines related to data science, a bachelor's degree holder in the relevant field can also land entry-level data science jobs in the US. It has automated systems for data processing, which removes the requirement for manual operations.

Data Science 52

Data Science Computer Science Portfolio Certification 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

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Typically, data science projects involve using an abundance of ls (eg. GUI Dashboards They have integrated dashboards to help visualize the graphs and results for the clients.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

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