Knowledge Hut

MAY 23, 2024

Because of this, data science professionals require minimum programming expertise to carry out data-driven analysis and operations. It has visual data pipelines that help in rendering interactive visuals for the given dataset. Python: Python is, by far, the most widely used data science programming language.

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 Business Intelligence Datasets 52

ProjectPro

NOVEMBER 30, 2021

Project Idea: In this project, you will work on a retail store’s data and learn how to realize the association between different products. Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. The goal is to predict the sales and revenue of different stores based on historical data.

Business Analyst 52

Business Analyst Project Retail Datasets 52

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. How do you do a time series analysis?

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

ProjectPro

AUGUST 21, 2015

Hadoop Framework works on the following two core components- 1)HDFS – Hadoop Distributed File System is the java based file system for scalable and reliable storage of large datasets. Data in HDFS is stored in the form of blocks and it operates on the Master-Slave Architecture. More data needs to be substantiated.

Hadoop 40

Hadoop Big Data Metadata Java 40