ProjectPro

FEBRUARY 5, 2022

And, when one uses statistical tools over these data points to estimate their values in the future, it is called time series analysis and forecasting. The statistical tools that assist in forecasting a time series are called the time series forecasting models. Let us discuss them in detail.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

ProjectPro

MARCH 7, 2016

If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Knowledge Hut

MAY 23, 2024

It helps companies understand data and obtain meaningful insights from it. According to the GlobeNewswire report , the projected growth of the data science market will hike up to a CAGR of 25 percent by 2030. With the increase in the demand for data science, job opportunities are also exponentially high.

Data Science 52

Data Science MongoDB Programming Language Hadoop 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. You can use Microsoft's sample dataset.

BI 52

BI Project Datasets Business Intelligence 52

ProjectPro

NOVEMBER 30, 2021

The capability of learning different business processes. Understanding of various analytical tools and their implementation in revealing insights about the business. Project Idea: In this project, you will work on a retail store’s data and learn how to realize the association between different products.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. iii)Splittability to be processed in parallel.

Hadoop 40

Hadoop Big Data Metadata Java 40