Knowledge Hut

APRIL 26, 2024

Data science has been consistently rated as being among the hottest job trends that is both lucrative and allows growth opportunities. It can lead to low-cost affordable care that everyone can access. It has found applications in all facets of our lives from healthcare to automobiles to banking and finance.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Knowledge Hut

FEBRUARY 15, 2023

A business analyst’s work usually revolves around research, data mining, and visualization. Alternatively, if you have an existing role in one of the mentioned domains and looking for a career switch, you get access to intermediate and senior-level business analyst positions.

Business Analyst 52

Business Analyst Insurance Business Intelligence Recruitment 52

Knowledge Hut

DECEMBER 26, 2023

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Knowledge Hut

NOVEMBER 16, 2023

Java or J2E and Its Frameworks Java or J2EE is one of the most trusted, powerful and widely used technology by almost all the medium and big organizations around domains, like banking and insurance, life science, telecom, financial services, retail and much, much more. SAS – Statistical Analysis System SAS is a popular course.

Technology 98

Technology MySQL MongoDB Google Cloud 98

Knowledge Hut

DECEMBER 26, 2023

Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis. Big data companies typically use data to help organizations make better decisions, improve operations, and understand customer behavior.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

APRIL 20, 2023

In this post, we'll look at the parallels and distinctions between both professions to help you understand the difference between cybersecurity and data science. Parameters Cybersecurity Data Science Expertise Protects computer systems and networks against unwanted access or assault. 1 crore on average).

Data Science 52

Data Science Computer Science Healthcare Recruitment 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

Knowledge Hut

FEBRUARY 27, 2023

So, learn Data Science online , and build a strong career with a high pay scale. What is Data Engineering? Data engineering is all about building, designing, and optimizing systems for acquiring, storing, accessing, and analyzing data at scale.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

U-Next

AUGUST 25, 2022

Because fingerprints may be used to permit or revoke access for withdrawal and payments, having an ATM card would be even no longer necessary. Once customers have successfully logged in and entered their unique pin, they may conduct various banking operations, including cash withdrawals and online financial transactions.

Project 40

Project Engineering Medical Healthcare 40

U-Next

OCTOBER 27, 2022

In order to achieve operational excellence, data mining, etc., Biometric systems are often implemented in security applications such as access control or law enforcement agencies. . Examples are Slush, HDFC Bank – EVA, etc. . The field of Artificial Intelligence encompasses a wide range of new and emerging technologies.

Technology 40

Technology Data Cleanse Machine Learning Banking 40

Knowledge Hut

JANUARY 19, 2024

From consulting to entrepreneurship, digital marketing to investment banking, MBA as a career option have various options to explore. The scope of this specialization is vast, ranging from corporate finance to investment banking, portfolio management, risk management, & financial planning.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

ProjectPro

JULY 15, 2021

SaaS is the most common out of all, and it makes computing services accessible over a mobile/web app. IaaS provides users with access to basic computer infrastructure capabilities. The users can access massive platforms and apps without maintaining large-scale IT infrastructures.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Knowledge Hut

DECEMBER 27, 2023

Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways. Accessing and storing huge data volumes for analytics was going on for a long time. Types of Big Data 1. Offers flexibility and faster data processing.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

FEBRUARY 15, 2023

Here are some most popular data analyst types (based on the industry), Business analyst Healthcare analyst Market research analyst Intelligence analyst Operations research analyst. Most remote data analyst jobs require fulfilling several responsibilities. Mining data includes collecting data from both primary and secondary sources.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

ProjectPro

OCTOBER 26, 2021

It helps in implementing predictive analytics with mathematics to make decisions based on granular data. It has database-agnostic support with open-source Breed technology to train machines based on data insights. Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 6.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

Databand.ai

DECEMBER 20, 2022

He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning. Eric is active on GitHub and LinkedIn, where he posts about data analytics, data science, and Python.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. Here is a list of questions you might ask if you are being interviewed for a financial institution - Does the dataset include all transactions from Bank or transactions from some specific department like loans, insurance, etc.?

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

JULY 13, 2015

Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

JANUARY 15, 2021

100+ Machine Learning Datasets for Data Science and Machine Learning Practitioners Best Retail Datasets for Machine Learning Best Healthcare Datasets for Machine Learning Best Banking and Finance Machine Learning Datasets Social Media Datasets for Machine Learning Crime Datasets for Machine Learning Next Steps What is a dataset in machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

NOVEMBER 3, 2021

So, if this seems tempting enough and you wish to explore how to freelance as a data scientist, move ahead to the next section of this blog, where we discuss this in detail. That is primarily because the field of Data Science has quite a lot of subdomains to explore.

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

ProjectPro

DECEMBER 21, 2021

Source Code: Rossman Store Sales Prediction Project Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 2. You will train and test the data model using the cross-validation method. You can use the SYL bank dataset for this project.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

FEBRUARY 15, 2023

With rapid digitalization, the world now has more access to data. This has resulted in higher demands for candidates in the data and analytics domain. Due to data availability and business market size growth, business analysts are recruited by most top fortune companies. And the US is no exception to this scenario.

Business Analyst 52

Business Analyst Recruitment Pharmaceutical Finance 52

ProjectPro

DECEMBER 17, 2021

Give Me Some Credit Challenge Banks are one the key institutions that play a significant role in the overall economic growth of any country. Banks allow many businesses to evolve by providing them with the necessary funds at a fair interest rate. Problem: Suppose you have ten random resumes of job applicants.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

JULY 30, 2021

Thus, banks need to have a decent number of borrowers to generate profits. CustomerSince: Customer of the bank since. HiddenScore: A score associated to the customer which is masked by the bank as an IP. Level : A level associated with the customer which is masked by the bank as an IP. ZipCode: Customer’s zip code.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

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 Scala 52

ProjectPro

MARCH 15, 2016

These two components define Hadoop, as it gained importance in data storage and analysis, over the legacy systems, due to its distributed processing framework. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Let’s take a look at some Hadoop use cases in various industries.

Hadoop 40

Hadoop Retail Healthcare Banking 40

U-Next

SEPTEMBER 21, 2022

Read this article to learn how a massive amount of data is collected, organized, and processed to extract useful information using data warehousing and data mining. You will also understand the Difference between Data Warehousing and Data Mining in a detailed manner. . What Is Data Warehousing? .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

ProjectPro

MARCH 14, 2014

Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data. It includes the employee's data that ranges from performance histories, survey results to salaries.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

MAY 31, 2021

To create a successful data project, collect and integrate data from as many different sources as possible. Here are some options for collecting data that you can utilize: Connect to an existing database that is already public or access your private database. Access Solution to Data Warehouse Design for an E-com Site 4.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

AUGUST 16, 2021

Customer Churn Prediction Analysis for Bank Records The dataset from the bank records stores customer name, credit score, geography, balance, tenure, gender, etc. Being lightweight, it is suitable in the big production setting of a bank. The theory being that recent data has more chance of reoccurring again.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

MARCH 17, 2014

12 Terabytes of data was generated through Twitter feeds in the last 6 hours, 5 million global share trades per second, millions of photos and videos. All these facts clearly speak about the Big Data trend making waves in the market. This is what happened on Facebook in the last 20 minutes - 1 million links shared, 1.5

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

MARCH 27, 2014

” Image Credit : slideshare The growing enterprise importance in Hadoop and other big data technologies like Hive, Pig, HBase , MapReduce, Zookeeper, and Hcatalog is driving demand for increased number of Hadoop developer jobs and Hadoop administration jobs with healthy paying premiums.

Hadoop 40

Hadoop Big Data Java Data Mining 40

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist? Sectors that Employ Data Scientists.

Retail 52

Retail Data Science Computer Science Entertainment 52