ProjectPro

MAY 23, 2015

Walmart has created value with big data and it is no secret how Walmart became successful. Its scale in terms of customers, its scale in terms of products and its scale in terms of technology.”-said Walmart acquired a small startup Inkiru based in Palo Alto, California to boost its big data capabilites. Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. To make accurate conclusions based on the analysis of the data, you need to understand what that data represents in the first place.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

JANUARY 18, 2024

Data Science initiatives from an operational standpoint help organizations optimize various aspects of their business, such as supply chain management , inventory segregation, and management, demand forecasting, etc. A data analyst would be a professional who will be able to accomplish all the tasks mentioned in the process of data analysis.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

MAY 23, 2024

Specifications Full stack developer Data scientist Term It is the creation of websites for the intranet, which is a public platform. It is the combination of statistics, algorithms and technology to analyze data. Benefits: Data scientist is a title that is sometimes used to describe someone who specializes in data analysis.

Computer Science 98

Computer Science Data Science Java Certification 98

Knowledge Hut

JANUARY 18, 2024

People working as full stack data scientists are responsible for implementing the project from start to finish. Read on to know more about this relatively new technology tool that is taking the world by stride. What is Data Science? It also helps organizations to maintain complex data processing systems with machine learning.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

JANUARY 18, 2024

While each project is unique, the following is the typical method for acquiring and evaluating data: Begin the discovery process by asking the appropriate questions. Gather information Cleanse and process the data Data integration and storage Data exploration and exploratory data analysis Select one or more possible models and algorithms.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

MAY 2, 2024

Most cutting-edge technology organizations like Netflix, Apple, Facebook, and Uber have massive Spark clusters for data processing and analytics. Both technologies have their own pros and cons as we will see below. Both these technologies have made inroads in all walks of common man’s life. Where is Spark Usually Used?

Hadoop 96

Hadoop Scala Datasets Java 96

Knowledge Hut

MAY 1, 2024

A data scientist is a person who is trained and experienced in working with data, i.e. data gathering, data cleaning, data preparation, data transformation, and data analysis. These steps will help understand the data, extract hidden patterns and put forward insights about the data.

Algorithm 98

Algorithm Data Science Raw Data Computer Science 98

Knowledge Hut

MARCH 7, 2024

Introduction to Big Data Analytics Tools Big data analytics tools refer to a set of techniques and technologies used to collect, process, and analyze large data sets to uncover patterns, trends, and insights. Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Knowledge Hut

JANUARY 18, 2024

Data Science is a field of study that handles large volumes of data using technological and modern techniques. This field uses several scientific procedures to understand structured, semi-structured, and unstructured data. Both data science and software engineering rely largely on programming skills.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Edureka

APRIL 17, 2023

Therefore, it’s essential to have a strong set of data analyst skills to stand out from the competition and land your dream job. In this article, we will discuss seven in-demand data analyst skills that will get you hired in 2023. Data mining and cleaning skills Data mining and cleaning skills are crucial for data analysts.

Data Mining 40

Data Mining Data Analysis Recruitment Machine Learning 40

Knowledge Hut

DECEMBER 26, 2023

Business Intelligence is an elaborate concept that includes different aspects, like data mining, visualization, data analytics , and infrastructural practices to help make data-driven decisions. When these decisions impact sales, marketing , and consumer behavior, data analysis and power BI jumps in.

BI 52

BI Data Mining Business Intelligence Certification 52

ProjectPro

DECEMBER 22, 2016

We have collected a library of solved Data Science use-case code examples that you can find here. Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data analysis begins with a question or an assumption. We add new use-cases every week.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. You will learn about Python, SQL, statistical modeling and data analysis.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

DECEMBER 26, 2023

BI encourages using historical data to promote fact-based decision-making instead of assumptions and intuition. Data analysis is carried out by business intelligence platform tools, which also produce reports, summaries, dashboards, maps, graphs, and charts to give users a thorough understanding of the nature of the business.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Edureka

AUGUST 2, 2023

They are responsible for processing, cleaning, and transforming raw data into a structured and usable format for further analysis or integration into databases or data systems. Their efforts make ensuring that data is accurate, dependable, and consistent, laying the groundwork for data analysis and decision-making.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

JUNE 11, 2024

In recent years, Machine Learning, Artificial Intelligence, and Data Science have become some of the most talked-about technologies. These technological advancements have enabled businesses to automate and operate at a much higher level. Data Science , Artificial Intelligence , and Machine Learning are tempting big money today.

Java 52

Java Data Science Programming Language Scala 52

Databand.ai

DECEMBER 20, 2022

Follow Cassie on LinkedIn 3) Julia Silge Software Engineer at Posit PBC Julia is a tool builder, author, international keynote speaker, and real-world practitioner focusing on data analysis, machine learning, and MLOps. He’s also made it his mission to stay up-to-date with the newest technologies and analytic techniques.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Knowledge Hut

FEBRUARY 1, 2024

Machine learning (ML) offers just that - an advanced technology to help users find the exact films they want. This certification confirms their proficiency in the latest machine learning technologies & techniques & makes them experts in the field of movie recommendation systems. Is Netflix a recommender system?

Systems 98

Systems Entertainment Algorithm Datasets 98

FreshBI

FEBRUARY 17, 2024

The Evolution of Casino BI Dashboards The casino industry, with its multifaceted operations, presents a complex data environment. In our experience, the traditional approach to data analysis falls short in addressing the specific needs of this sector. This is where our specialized casino BI dashboards come into play.

Business Intelligence 52

Business Intelligence BI Consulting Data Analysis 52

Knowledge Hut

JUNE 4, 2024

A data scientist is a person who is better at statistics than any programmer and better at programming than any statistician. Data science is the idea to "understand and analyzing actual phenomena" with data by integrating statistics, machine learning, data analysis, and their related techniques.

Data Science 52

Data Science Data Mining Media Recruitment 52

Edureka

FEBRUARY 27, 2023

These technologies can be used to identify patterns and trends in data sets, making predictions about future events more accurate. Self-service BI tools are becoming more popular as they allow users to access and analyze data without needing assistance from IT or a data analyst.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data. It may go as high as $211,000!

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

FEBRUARY 11, 2023

Data analysis is a part of the business development and innovation of superior products. Hence, the scope for data analysis is ever-growing. In addition, the data analyst plays a role in identifying potential possibilities for product and business development.

Retail 52

Retail Education Data Mining Healthcare 52

Knowledge Hut

MARCH 27, 2024

Data tracking is becoming more and more important as technology evolves. A global data explosion is generating almost 2.5 quintillion bytes of data today, and unless that data is organized properly, it is useless. Some open-source technology for big data analytics are : Hadoop.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

MAY 31, 2024

Technological: New technologies for information and communication systems. Non-functional Requirements Analysis This technique is used for any project where a technology solution is replaced, modified, or created from scratch. Unlock the Power of Data with Our Unique Data Science Bootcamp ! Enroll Today!

Business Analyst 52

Business Analyst Data Mining Machine Learning Utilities 52

Knowledge Hut

NOVEMBER 28, 2023

They are people equipped with advanced analytical skills, robust programming skills, statistical knowledge, and a clear understanding of big data technologies. Data Engineering will be prioritized in the coming years, and the number of data engineer jobs will continue to grow.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Processing massive amounts of unstructured text data requires the distributed computing power of Hadoop, which is used in text mining projects.

Hadoop 52

Hadoop Project Big Data Datasets 52

Knowledge Hut

JANUARY 29, 2024

So, join us on this enlightening journey as we demystify Data Wrangling and reveal how it empowers businesses to harness the true potential of their data. What Is Data Wrangling? Data Wrangling, often referred to as Data Munging, is a fundamental process in the world of data analysis and management.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Edureka

SEPTEMBER 23, 2024

They use various tools, techniques, and methodologies borrowed from statistics, mathematics computer science to analyze large amounts of data. Within the context of AI vs Data Science, It is worth defining that although Data science majorly defines itself with data analysis, it is a critical element in creating AI systems.

Data Science 40

Data Science Data Mining Computer Science Finance 40

ProjectPro

FEBRUARY 8, 2016

Different types, types, and stages of data analysis have emerged due to the big data revolution. Data analytics is booming in boardrooms worldwide, promising enterprise-wide strategies for business success. The main techniques used here are data mining and data aggregation.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

RandomTrees

OCTOBER 18, 2024

Technology is given special attention within the financial services sector owing to the need for constant upgrades to fulfill the needs of the world market. At present, Generative AI (GenAI) is one of the essential instruments that has changed the financial industry, risk management, and analysis of financial data.

Management 52

Management Finance Portfolio Data Mining 52

ProjectPro

FEBRUARY 8, 2023

Apache Kafka is used for diverse use cases from real-time data processing to event sourcing. The Kafka technology works perfectly with dynamically changing data-driven businesses where large amounts of records need to be processed as they come in. Kafka usage is still expanding across a variety of business sectors.

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Kafka Banking Healthcare Medical 52

U-Next

SEPTEMBER 23, 2022

Business Analytics is the process through which organizations analyze data using statistical techniques and technologies to gather knowledge and enhance their strategic decision-making. . According to reports , Netflix saves $1 billion annually by enhancing its client retention strategy with data analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Knowledge Hut

APRIL 25, 2024

Recognizing the difference between big data and machine learning is crucial since big data involves managing and processing extensive datasets, while machine learning revolves around creating algorithms and models to extract valuable information and make data-driven predictions.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52