Knowledge Hut

MAY 23, 2024

Through Google Analytics, data scientists and marketing leaders can make better marketing decisions. Even a non-technical data science professional can utilize it to perform data analytics with its high-end functionalities and easy-to-work interface. Multipurpose Data science Tools 4.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

ProjectPro

SEPTEMBER 6, 2021

Explore More Data Science and Machine Learning Projects for Practice. Fast-Track Your Career Transition with ProjectPro Web Scraping Project Idea #13 Political Data Analytics People are no longer restricted to making friends on social media websites; the sites have also become a platform for people to voice their opinions.

Project 52

Project Programming Language Entertainment Python 52

Knowledge Hut

JANUARY 12, 2024

For instance, "ls" helps you see your files, "grep" lets you sift through text, and "wget" is your go-to for pulling data off the web. These commands, among others, are like your data science toolbelt—handy for preprocessing data, analytics, and building models. Perfect together! All your stats and number-crunching tasks?

Data Science 52

Data Science R (Programming) Python Data 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

Knowledge Hut

MAY 31, 2023

So, let’s dive in and discover how you can use business analytics projects to gain a competitive advantage in today’s fast-paced business world. Why are Business Analytics Projects Important? Business analytics is an amalgamation of business management and data analytics.

Project 52

Project Datasets Media Python 52

Knowledge Hut

JANUARY 24, 2024

Performance Aspect Power BI Tableau Speed of Data Rendering In my experience, Power BI exhibits commendable speed in rendering visualizations, particularly with smaller datasets. Tableau, on the other hand, stands out for its exceptional speed, ensuring swift rendering even when dealing with large and complex datasets.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

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

NOVEMBER 30, 2021

Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. In this project, you will build an automated price recommendation system using Mercari’s dataset to suggest prices to their sellers for different products based on the information collected. should be used and interpreted.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

JUNE 17, 2015

“Companies are betting big that harnessing data can play a major role in their competitive plans and is leading to high pay for critical skills.”-said According to Dice.com’s salary survey report of 2014, professionals with cloud and big data skills grabbed the best paychecks in the US. from the previous year.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

ProjectPro

DECEMBER 22, 2016

This list of data analyst interview questions is based on the responsibilities handled by data analysts.However, the questions in a data analytic job interview may vary based on the nature of work expected by an organization. Data analysts interpret the results and convey the to the stakeholders.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

AUGUST 21, 2015

Big data analysis is helping businesses differentiate themselves – for example Walmart the world’s largest retailer in 2014 in terms of revenue - is using big data analytics to increase its sales through better predictive analytics, providing customized recommendations and launching new products based on customer preferences and needs.

Hadoop 40

Hadoop Big Data Metadata Java 40