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.

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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.

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Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

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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.

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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.

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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.

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Knowledge Hut

JANUARY 30, 2024

However, through data extraction, this hypothetical mortgage company can extract additional value from an existing business process by creating a lead list, thereby increasing their chances of converting more leads into clients. Textual data extraction is vital for sentiment analysis, content categorization, and text mining.

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Knowledge Hut

MAY 31, 2023

Sales Data Analysis It involves the analysis of data on every aspect of a company’s sales. Excel or Google Sheets can clean and analyze data for charts and graphs. Python or R is good for advanced data analysis and statistical modeling, like looking for trends or making predictions.

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ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? 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 uses data mining to discover patterns in point of sales data.

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Knowledge Hut

DECEMBER 26, 2023

A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis. is $50,000 per year.

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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.

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Knowledge Hut

JANUARY 18, 2024

Picture this: every day, we generate a mind-boggling amount of data. From social media posts and online transactions to sensor readings and healthcare records, data is the fuel that powers modern businesses and organizations. To put that into perspective, that's equivalent to 212,765,957 DVDs worth of data!

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Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. These use cases show only fractional potential applications of real-time data ingestion.

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U-Next

AUGUST 3, 2022

The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Up until 2010, it was extremely difficult for companies to store data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing.

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AltexSoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

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Edureka

APRIL 17, 2023

This type of analysis can help businesses better understand their customers and tailor their products and services to meet their specific needs. Social Media Sentiment Analysis: Social media sentiment analysis involves analyzing social media data to determine the sentiment or opinion of users about a particular product or service.

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Knowledge Hut

DECEMBER 27, 2023

Big data is often denoted as three V’s: Volume, Variety and Velocity. Volume : Refers to the massive data that organizations collect from various sources like transactions, smart devices (IoTs), videos, images, audio, social media and industrial equipment just to name a few. Some examples of Big Data: 1. billion.

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Knowledge Hut

JULY 26, 2023

Are you looking for a career that combines cutting-edge technology with high-paying job opportunities? With the rise of big data, cloud computing, and IoT, the demand for skilled database professionals is higher than ever before. But the world has evolved, and so has technology!

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U-Next

AUGUST 11, 2022

The present era is truly the golden age of technology. Due to the mass-scale adaptation of the latest technologies like the Internet, our life and its objectives are technology bound. Artificial Intelligence is the next technological revolution that has already accomplished a lot, despite being in its early stages.

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U-Next

OCTOBER 27, 2022

Artificial intelligence in marketing entails using AI technology to automatically make judgments based on accumulated data, analyzed data, and any other observations of audience or economic trends that may affect marketing activities. . Introduction . billion in 2021 to $17.46 billion in 2022. . Machine Learning.

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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.

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Knowledge Hut

JUNE 16, 2023

It is apt for data mining and analysis tasks and provides efficient models for clustering, model selection, pre-processing, and many other data management tasks. It can help you write engaging copies of emails, social media posts, and other significant documentation. Are you looking for free machine-learning tools?

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Edureka

FEBRUARY 18, 2023

This may involve cleaning the data, formatting it, and structuring it in a way that is useful for analysis. Data analysis: The next step is to analyze the data to identify trends, patterns, and insights. This helps decision-makers to quickly and easily interpret the data and identify key insights.

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U-Next

SEPTEMBER 28, 2022

The practice of gathering and analyzing Human Resource (HR) data to boost an effective and efficient workforce performance is known as HR Analytics. This data analysis approach uses commonly acquired HR data and compares it to HR and organizational objectives. The collected data must also be structured and categorized.

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U-Next

SEPTEMBER 23, 2022

Concepts such as components of databases and other attributes related to Data Science have taken the world by storm. To handle this large amount of data, we want a far more complicated architecture comprised of numerous components of the database performing various tasks rather than just one. . Apple is one such technology.

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U-Next

JULY 4, 2022

It helps organisations in a great way to manage and use a huge amount of data to make important decisions related to the business. On the basis of analysis of data, business organisations can conclude. With the development of modern technology, we can collect and store a large amount of data. Data Analysts.

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U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

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ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

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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. Airport Authority Data Analysis 12. Covid-19 Insights Analysis 13.

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Knowledge Hut

JANUARY 19, 2024

IT & Systems Under the MBA in IT & Systems, students gain knowledge in areas such as systems analysis & design, database management systems, & information security. The career pathways are vast, including technology startups, product companies, consulting firms, service providers, & many more.

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U-Next

AUGUST 11, 2022

When it comes to the analysis and processing of data, Data Scientists are distinguished from data engineers at each step of the way. These methods create valuable data and capture insight revealed from the data, for example, categorisation, data mining, clustering, and data modelling.

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ProjectPro

OCTOBER 18, 2021

Recommendation engines are popular in media, entertainment, and shopping. Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). also have the same feature.

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ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. 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.

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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.

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ProjectPro

AUGUST 11, 2021

According to Wikipedia , a Data Warehouse is defined as "a system used for reporting and data analysis. Data warehouses are central repositories of integrated data from one or more disparate sources. Data marts contain a subset of the data in data warehouses.

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ProjectPro

JUNE 24, 2021

Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn big data analytics by doing instead of just gaining theoretical knowledge. Some amount of experience working on Python projects can be very helpful to build up data analytics skills.

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ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. To understand their requirements, it is critical to possess a few basic data analytics skills to summarize the data better.

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