Knowledge Hut

MARCH 15, 2024

These professionals are in extremely high demand in the market because of their core skill sets in the field of information technology. To become one of them, you must gather substantial knowledge in the areas of advanced mathematics, software engineering, and data analytics.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

Knowledge Hut

MARCH 19, 2024

The broad discipline of data science is concerned with applying different scientific methods and techniques to analyze both organized and unstructured data. Data science uses and explores a variety of methods, including machine learning (ML), data mining (DM), and artificial intelligence ( AI ).

Software Engineer 52

Software Engineer Software Engineering Engineering IT 52

Knowledge Hut

JANUARY 18, 2024

Host: It is hosted by Google and challenges participants to solve a set of data science problems. Eligibility : Data science competition Kaggle is for everything from cooking to data mining. The Tianchi Big Data Science Competition has already attracted over 200 participants from 34 countries and regions around the world.

Data Science 98

Data Science Recruitment Big Data Machine Learning 98

Knowledge Hut

NOVEMBER 17, 2023

Join me as we explore the ins and outs of the Azure data engineer skill set , with the help of this article. Who is an Azure Data Engineer? An Azure Data Engineer is like a data expert who uses special tools to organize and clean up information so that a company can use it to make smart choices.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 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. Since they are highly sought-after careers, the portfolio of candidates with no experience must be strong.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

OCTOBER 6, 2021

Encryption is a technique to ensure that data is protected and secured with a unique key or highly protected passwords that are only known to the user. This entire process helps to keep a user’s information private and avoid confidential information from getting leaked out. Technologies like SQL are used on GCP.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

Knowledge Hut

JANUARY 19, 2024

The scope of this specialization is vast, ranging from corporate finance to investment banking, portfolio management, risk management, & financial planning. IT & Systems Under the MBA in IT & Systems, students gain knowledge in areas such as systems analysis & design, database management systems, & information security.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

Knowledge Hut

AUGUST 16, 2024

Academic Prerequisites To become a successful Data Scientist, you need an undergraduate or a postgraduate degree in Computer Science, Mathematics, Statistics, Business Information Systems, Information Management , or any other similar field. One reason for this is the higher demand for Data Scientists in the industry.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Knowledge Hut

JANUARY 22, 2024

Welcome to the world of data science. In this age of information, data scientists have emerged as the architects of tomorrow, harnessing the power of data to drive decisions, solve complex problems, and push the boundaries of what's possible. Students learn to work with tools like Tableau, Excel, SQL etc.

Data Science 52

Data Science Certification Education Programming 52

ProjectPro

AUGUST 24, 2021

Smart IoT Infrastructure Aviation Data Analysis Shipping and Distribution Demand Forecasting Event Data Analysis Data Ingestion Data Visualization Data Aggregation Let us discuss them in detail. 4) Event Data Analysis NYC Open Data is free public data published by New York City agencies and partners.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Knowledge Hut

SEPTEMBER 25, 2023

In comparison to another applicant who hasn't shown the capacity or desire to advance their talents, the hiring manager might regard your portfolio and application more favorably. In order to certify analytics professionals' knowledge and skills, INFORMS has created this certification program.

Certification 52

Certification Business Analyst Big Data Data Analysis 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

DECEMBER 22, 2016

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. Data analysis involves data cleaning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

OCTOBER 3, 2016

Now, in the era of big data, Hadoop has inspired the growth of its ecosystem with powerful front ends and extensions like -Lens, Twill, Kylin, etc.Apache Hadoop ecosystem is growing rapidly. Source:[link] Have Your Cake And Eat It: Big Data Without Hadoop. The awareness of Big Data and the progress towards it has grown immensely.

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 52

Knowledge Hut

SEPTEMBER 6, 2023

Statistical Knowledge : It is vital to be familiar with statistical procedures and techniques in order to assess data and form trustworthy conclusions. Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required.

Big Data 52

Big Data Certification Hadoop Kafka 52

U-Next

SEPTEMBER 19, 2022

Power BI can do real-time analysis by connecting directly to information sources. It also keeps data up to date to the most recent second through data refreshing. You may rapidly search for critical insights and datasets inside your data using the Quick Insights option. Data Connections in Power BI. Description.

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

FEBRUARY 19, 2016

Big data and Data Science are among the fastest growing professions in 2016 and there is no better way to stay informed on the latest trends and technologies in the big data space than by attending one of the top big data conferences. Table of Contents Why you should attend a Big Data Conference?

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

ProjectPro

JULY 13, 2015

The largest financial service provider in US-JP Morgan Chase generates huge amounts of big data about customers from credit card information and millions of transactions. They leverage this big data for analytics using Hadoop - to make handling financials for their customers, easier and smarter.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

FEBRUARY 8, 2016

Data analytics is booming in boardrooms worldwide, promising enterprise-wide strategies for business success. Gaining the correct information, which produces knowledge, allows businesses to create a competitive edge, which is essential to companies successfully leveraging Big Data. Data Mining - Identifying correlated data.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

ProjectPro

JULY 21, 2021

15 NLP Projects Ideas to Practice Apart from the skills mentioned above, recruiters often ask applicants to showcase their Project portfolios. To help you in overcoming this challenge, we have prepared an informative list of NLP Projects. Design NLP-based applications to solve customer needs. Wondering where? FAQs What are NLP tasks?

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

AUGUST 11, 2021

Data Warehouse Architecture The Data Warehouse Architecture essentially consists of the following layers: Source Layer: Data warehouses collect data from multiple, heterogeneous sources. Staging Area: Once the data is collected from the external sources in the source layer, the data has to be extracted and cleaned.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MARCH 15, 2016

These days we notice that many banks compile separate data warehouses into a single repository backed by Hadoop for quick and easy analysis. Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

MARCH 12, 2016

It collects more than 20 terabytes of log data every day for sentiment analysis, event analytics, customer segmentation, recommendation engine and sending out real-time location based offers. PayPal is extensively leveraging customer’s transactional data and search data to enhance their predictive capabilities to surprising levels.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

AUGUST 13, 2021

The aim is to use NLP techniques on lengthy textual data and summarise its content with fewer words. Of course, it is expected that while writing the summary, you do not miss out on important information contained in the original text. that are widely used in the Data Science community.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

JUNE 17, 2016

The commonalities that you find in the big data job descriptions should be your targeted keywords for your LinkedIn profile. Your contact information is a clear call to action for big data recruiters to interview you for the open position.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

MAY 23, 2015

“Our ability to pull data together is unmatched”- said Walmart CEO Bill Simon. Walmart uses data mining to discover patterns in point of sales data. Effective data mining at Walmart has increased its conversion rate of customers. Walmart tracks and targets every consumer individually.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

DECEMBER 17, 2021

With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio. By implementing various machine learning algorithms over a dataset of dates, store, item information, promotions, and unit sales, you will be using time forecasting methods to predict the sales.

Data Science 52

Data Science Medical Machine Learning Datasets 52

ProjectPro

JULY 3, 2015

Image Credit : timoelliot.com Enterprises that want to capture data from various sources at minimal cost and leverage it for analytics along with the real time information from ERP systems should combine SAP and Apache Hadoop to achieve best outcomes. The business information is physically stored in memory for SAP HANA.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

JULY 15, 2021

Secure Text Transfer Application The project's goal is to securely send the textual information to preserve the information's privacy, confidentiality, and integrity. Many banking applications use secure data exchange apps and functions to share information using certain channels.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

APRIL 2, 2015

Retail Analytics truly started with Target having figured out, quite early on – that data analytics can take the consumer buying experience to a whole other level. Image Credit :slidershare.net Challenges posed by Big Data in Retail 1) It is becoming more and more difficult for the retailers to predict the consumer buying habits.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

OCTOBER 18, 2021

They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes. Predictive Analysis: This analysis will utilize data mining, web scraping, and data exploration techniques for better prediction and accurate analysis.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

AUGUST 5, 2021

If you are looking to break into AI and don’t have a professional qualification, the best way to land a job is to showcase some interesting artificial intelligence projects on your portfolio or show your contributions to open-source AI projects. The data is present in the form of text and needs to be pre-processed.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

FEBRUARY 1, 2022

Data science use cases can be found in almost every industry out there e-commerce, music streaming, stock market,etc. Data Mining — How did you scrape the required data ? you set up to source your data. Discuss Assumptions and Hypothesis Make informed or well-thought assumptions to simplify the problem.

Data Science 52

Data Science Datasets Banking Machine Learning 52

Knowledge Hut

FEBRUARY 7, 2023

The resources and the information can be accessed from anywhere. Centralize data resources Data Science Platforms have a unified location for all work. Handle very large amounts of structured and unstructured data They help in the smooth handling of large GBs of data 4.

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

ProjectPro

MAY 5, 2015

ProjectPro reviews will help students make well informed decisions before they enrol for the hadoop training. Omer Artificial Intelligence Researcher, Quora 'Most Viewed Writer in 'Data Mining' Dezyre Hadoop Training Review for the Batch May 10th, 2015 Karan is a good instructor, knowledgeable and very polite. Very informative!

Big Data 40

Big Data Project Hadoop Java 40

ProjectPro

MARCH 17, 2014

Gartner defines Big Data as high volume, velocity and variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. What is Big Data according to IBM?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

AUGUST 16, 2021

Machine Learning Trends in Recent Years Deep Learning Trends in Recent Years With the global machine learning job market projected to be worth $31 billion by the end of 2024 and fierce competition in the industry, a machine learning project portfolio is a must-have. Finally, the accuracy is measured by Akaike Information Criterion.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40