Knowledge Hut

JANUARY 3, 2024

The researchers sort through the information by categorizing concepts and ideas, starting with a qualitative dataset. This strategy aims to allow scientists to react naturally to the dataset while also grounding the outcomes in as much empirical data as feasible. Thus, these are the most common qualitative data analysis methods.

Data Collection 52

Data Collection Hospitality Data Analysis Datasets 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: This data concentration will provide you a solid grounding in mathematics and statistics as well as extensive experience with computing and data analysis. Possible Careers: Data analyst Marketing analyst Data mining analyst Data engineer Quantitative analyst 3.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

DECEMBER 27, 2023

A business analyst can be employed in a wide range of industries, including healthcare, education, finance, retail, and hospitality. Business analysts have a wide range of responsibilities, including data analysis, report writing, and business process improvement (BPI). Experience working with data is also essential.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

ProjectPro

DECEMBER 14, 2021

Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4. Financial Performance Analysis 5. Healthcare Sales Analysis Intermediate-Level Power BI Project Ideas 6. Loan Application Analysis 10. Airport Authority Data Analysis 12.

BI 52

BI Project Business Intelligence Datasets 52

AltexSoft

MARCH 28, 2022

Negotiate a proprietary agreement with Airbnb, authorizing you to use their data. Publicly available datasets. Download free, anonymized datasets from Inside Airbnb , a non-commercial platform that presents snapshots of Airbnb listings with reviews, calendar and over 50 data points (pieces of information describing the listing.).

Hospitality 52

Hospitality Business Intelligence Datasets Machine Learning 52

AltexSoft

MAY 14, 2021

As you now know the key characteristics, it gets clear that not all data can be referred to as Big Data. What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection? It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

DECEMBER 10, 2021

One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management. An analysis of their dataset will also reveal how they use data science tools and techniques to estimate their daily sales and maximise their profit.

Business Intelligence 52

Business Intelligence Coding Project BI 52

AltexSoft

MAY 5, 2023

According to “Hospitality in 2025: Automated, Intelligent…and More Personal” research by Oracle and Skift , over half of the executives responded that they’ve already implemented automated messaging for customer service requests or are experimenting with it. The latter is known as dynamic pricing. Autohost.ai

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

SEPTEMBER 9, 2021

Storytelling involves showing patterns in a given dataset and then trying to infer actionable insights from the same. With so much data in hand, business intelligence tools like Tableau aid in giving a direction to the analysis so that one can present the correct inferences from the data.

Coding 52

Coding Project Datasets Data Science 52

Knowledge Hut

NOVEMBER 16, 2023

What distinguishes Generative AI is its capacity to learn from current data and then generate entirely new and realistic outputs that reflect the essence of what it has learned. It ensures accurate payment, supports compliance, aids in making data-driven decisions, and, thus, helps hospitals manage their operations more efficiently.

Medical 52

Medical Healthcare Hospitality Entertainment 52

ProjectPro

OCTOBER 14, 2021

The publicly available Kaggle dataset of the Tesla Stock Data from 2010 to 2020 can be used to implement this project. Maybe you could even consider gathering more data from the source of the Tesla Stock dataset. You could undertake this exercise using the publicly available Cervical Cancer Risk Classification Dataset.

Machine Learning 52

Machine Learning Project Insurance Medical 52

Cloudera

MARCH 2, 2018

In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing. The more we can directly analyse raw data, such as today’s internet searches, the more we will be able to obtain a close to real-time picture of the situation on the ground.

Hospitality 43

Hospitality Healthcare Machine Learning Transportation 43

Edureka

MAY 9, 2023

Now will copy the data and ingest the database from one source to the destination data store. Step 12- Now we will upload the dataset to the edurekastore (storage account) and upload it in the blob. Step 13- Now we can see our data set car_sales.csv file is uploaded in the blob container.

BI 52

BI Retail Datasets Machine Learning 52

ProjectPro

AUGUST 24, 2021

And if you are aspiring to become a data engineer, you must focus on these skills and practice at least one project around each of them to stand out from other candidates. Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

SEPTEMBER 13, 2023

Say you’re a CTO or software engineer in the hospitality industry, and you’re integrating a generative AI chatbot to answer staff queries about your hotel’s Property Management System (PMS). Connections and principles explained Data analysis and interpretation. ChatGPT ), image generators (e.g., What is an API?

Engineering 59

Engineering Hospitality Transportation Algorithm 59

Edureka

JUNE 1, 2023

Advanced Analytical Tools: AWS has an ecosystem of analytical solutions that are specifically designed to manage the escalating volume of data and provide business intelligence. Pay-as-you-go: Depending on the amount of input data and the sort of analysis, analyzing large datasets necessitates a significant amount of computing power.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

AUGUST 28, 2021

Each project explores new machine learning algorithms, datasets, and business problems. The dataset contains three weeks of activity data on each driver like login time, number of hours active each day, date, and driver details like driver gender, age, id, number of kids, etc.

Portfolio 52

Portfolio Project Datasets Algorithm 52

ProjectPro

JULY 10, 2021

Time Series Models Time Series Analysis in R or Python Applications of Time Series Analysis 15 Time Series Projects Ideas for Beginners to Practice in 2023 1. Sentiment Analysis from Social Media Feeds 3. Time Series-based Data Analysis for Taxi Service 4. Stock Price Prediction 2. Sports Popularity Prediction 6.

Project 40

Project Banking Datasets Python 40

AltexSoft

SEPTEMBER 21, 2023

Whether you’re an enterprise striving to manage large datasets or a small business looking to make sense of your data, knowing the strengths and weaknesses of Elasticsearch can be invaluable. For instance, you could have different indices for Hotels, Guests, and Bookings in the hospitality industry.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

MARCH 16, 2015

Big data in healthcare is used for reducing cost overhead, curing diseases, improving profits, predicting epidemics and enhancing the quality of human life by preventing deaths. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

MARCH 15, 2016

That way every server, stores a fragment of the entire data set and all such fragments are replicated on more than one server to achieve fault tolerance. Hadoop MapReduce MapReduce is a distributed data processing framework. Apache Hadoop provides solution to the problem caused by large volume of complex data.

Hadoop 40

Hadoop Retail Healthcare Banking 40