Knowledge Hut

DECEMBER 27, 2023

A business analyst can be employed in a wide range of industries, including healthcare, education, finance, retail, and hospitality. Roles & Responsibilities Data analysis: Analyzing data to gain insights and make recommendations. Data preparation: Preparing data so that it can be used by other analysts and decision-makers.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Knowledge Hut

OCTOBER 27, 2023

Microsoft created Power BI, a business analytics tool that enables users to visualize and analyze data from various sources quickly and interactively. It provides a wide range of features and functionalities, including data preparation, data modeling, data visualization, and collaboration tools.

BI 52

BI Project Datasets Healthcare 52

Knowledge Hut

APRIL 25, 2024

These technologies are necessary for data scientists to speed up and increase the efficiency of the process. The main features of big data analytics are: 1. Data wrangling and Preparation The idea of Data Preparation procedures conducted once during the project and performed before using any iterative model.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

JANUARY 30, 2024

Log Data: Extracting log files from systems or applications is crucial for monitoring, troubleshooting, and security analysis. Log data can reveal system performance, user activity, and potential issues. Extraction: This initial step involves retrieving data from one or multiple sources or systems.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

AltexSoft

NOVEMBER 17, 2021

For instance, the healthcare industry still deals with paper documents. But some healthcare organizations like FDA implement various document classification techniques to process tons of medical archives daily. An example of document structure in healthcare insurance. Source: affine.ai. Document and text digitization with OCR.

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

ProjectPro

OCTOBER 6, 2021

Cloud DataPrep is a data preparation tool that is serverless. All these services help in a better user interface, and with Google Big Query, one can also upload and manage custom data sets. The power and the API calls scale up the entire healthcare platform and manage different systems and their complex needs.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

Knowledge Hut

NOVEMBER 17, 2023

AutoAugment: This is a technique that automatically searches for the best data augmentation techniques for a given dataset. This approach is particularly useful when working with non-image data, such as text or audio. Data Pre-processing Data augmentation is just one part of data preparation.

Datasets 52

Datasets Machine Learning Deep Learning Data 52

Knowledge Hut

JANUARY 29, 2024

On the other hand, data science is a technique that collects data from various resources for data preparation and modeling for extensive analysis. Cloud Computing provides storage, scalable compute, and network bandwidth to handle substantial data applications.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

Knowledge Hut

DECEMBER 26, 2023

Find out more about big data trends and how they affect the business world (risk, marketing, healthcare, financial services, etc.). explains this new technology and how businesses can utilize it to collect the data they need and gain important insights efficiently.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Snowflake

FEBRUARY 13, 2023

The holdings are presented in a database format that makes it transparent and easy for consumers to instantly access and analyze the data. With over 10 million collectors, AIR MILES has access to first-party data for more than 1 in every 4 Canadians.

Insurance 52

Insurance Banking Government Retail 52

Knowledge Hut

MAY 2, 2024

The steps are explained in simple words below: Gathering the data includes data collection from varied, rich and dense content of various formats and types. In real time, this includes feeding the data from different sources such as text files, word documents or excel sheets.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Develop machine learning pipelines using Azure Machine Learning service.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JANUARY 31, 2023

Big Data Architect Interview Questions and Answers Following are the interview questions for big data architects that will help you ace your next job interview. Explain the data preparation process. Data preparation is one of the essential steps in a big data project. Steps for Data preparation.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

DECEMBER 26, 2023

The insights from any data are crucial for any business. The field of data Analytics has grown more than 50 times from the early 2000s to 2021. For more information o n Data Science, check out Data Science training classes. This credential is offered by the leader in the industry, Microsoft Azure.

Certification 52

Certification Data Analytics BI AWS 52

Knowledge Hut

NOVEMBER 27, 2023

These datasets offer opportunities to analyze, manipulate, and extract insights from real data, preparing you for real-world scenarios. Building a portfolio of data science projects: A GitHub repository or a personal website is great way to showcase your data science projects.

Data Science 52

Data Science Datasets Machine Learning Portfolio 52

Knowledge Hut

JUNE 28, 2023

Data Mining vs Business Intelligence: Application Areas Data Mining: Data mining finds applications in diverse areas such as customer segmentation, fraud detection, market basket analysis, sentiment analysis, recommendation systems, healthcare analytics, and predictive maintenance.

Data Mining 52

Data Mining Business Intelligence BI Datasets 52

ProjectPro

JANUARY 15, 2021

Look no further…Whether it’s Retail , Healthcare, Banking & Finance , Crime, or, really any other kind of machine learning dataset, we’ve curated a list of top machine learning datasets on everything to help you make your models successful. Where can I find datasets for machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

Edureka

JANUARY 23, 2023

Data Understanding – Companies must identify the data needed for the project and collect them from all available sources. Data Preparation – This is a very important step in preparing the data for analysis. It helps the state make better use of available resources.

Data Mining 52

Data Mining Banking Retail Medical 52

ProjectPro

SEPTEMBER 26, 2021

The sales and marketing strategies implemented today follow the data patterns and trends identified by data professionals. Similarly, the construction sector is using Big Data to anticipate the one-site risks, weather patterns, etc., IT, Retail, Sales & Marketing, Healthcare, Manufacturing, Education, etc.,

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

U-Next

AUGUST 11, 2022

Data Analysts: With the growing scope of data and its utility in economics and research, the role of data analysts has risen. Hence, Data Analysts require expertise in more than just spreadsheets, like SQL, Python, Tableau, Power BI, business intelligence, etc. Industries That Work With AI.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

DECEMBER 16, 2021

If you look at the machine learning project lifecycle , the initial data preparation is done by a Data Scientist and becomes the input for machine learning engineers. Later in the lifecycle of a machine learning project, it may come back to the Data Scientist to troubleshoot or suggest some improvements if needed.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

AltexSoft

JUNE 14, 2021

The platform facilitates the customer’s interaction with their healthcare professionals. You can start investing in data infrastructure and analytical pipelines to automate data collection and analysis mechanisms. You’ll need a data engineering team for that. How data engineers and data platforms work.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

AltexSoft

MAY 14, 2021

Talend is an open-source data integration and data management platform that empowers users with facilitated, self-service data preparation. Talend is considered one of the most effective and easy-to-use data integration tools focusing on Big Data. Below are real-life examples of companies using Big Data.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

DECEMBER 15, 2021

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. In the meantime, we’ll focus on AutoML which drives a considerable part of the MLOps cycle, from data preparation to model validation and getting it ready for deployment.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

JULY 17, 2021

Data Science is integral to the job responsibilities assigned to an AI Engineer. The job of an AI Engineer comes with many responsibilities, including data preparation , AI programming, algorithm design, data analytics, and a lot more. The same goes well with the education or healthcare sector.

Engineering 40

Engineering Machine Learning Data Science Algorithm 40

AltexSoft

DECEMBER 21, 2021

Not only is it hard to get lots of data (particularly for the cases of highly specialized niches such as healthcare), but manually adding tags for each item of data is also a difficult, time-consuming task requiring the work of human labelers. Need for domain expertise. Image and video labeling use cases.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

ProjectPro

JANUARY 31, 2023

Let's dive into the world of data augmentation, which addresses this challenge by artificially increasing the size of the training data by applying transformations to the existing data, With a humongous amount of data generated every second, collecting qualitative and relevant data to train machines has become tedious.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

MAY 31, 2021

There are open data platforms in several regions (like data.gov in the U.S.). These open data sets are a fantastic resource if you're working on a personal project for fun. Data Preparation and Cleaning The data preparation step, which may consume up to 80% of the time allocated to any big data or data engineering project, comes next.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JANUARY 19, 2022

The big data industry is flourishing, particularly in light of the pandemic's rapid digitalization. Companies in various sectors are improving their big data and analytics operations, from healthcare to retail. In every case, data engineering is expected to be one of the most in-demand professions in 2022 and beyond.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

MAY 20, 2015

It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics. .

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

U-Next

SEPTEMBER 23, 2022

Administrators may now employ analytics and data visualizations to uncover patterns in student data, transforming the university’s administration, recruitment, and retention efforts. . Big Data in Healthcare Industry . Healthcare is yet another business that will generate massive amounts of data.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40