Analytics Vidhya

NOVEMBER 3, 2021

This article was published as a part of the Data Science Blogathon. Introduction Aggregating is the process of getting some data together and it is considered an important concept in big data analytics. The post Introduction to Aggregation Functions in Apache Spark appeared first on Analytics Vidhya.

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KDnuggets

OCTOBER 31, 2019

Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value your Big Data products.

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Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction YARN stands for Yet Another Resource Negotiator, a large-scale distributed data operating system used for Big Data Analytics. Apart from resource management, […].

Apache Hadoop 271

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Data Science Dojo

SEPTEMBER 5, 2024

Data science and computer science are two pivotal fields driving the technological advancements of today’s world. It has, however, also led to the increasing debate of data science vs computer science. It has, however, also led to the increasing debate of data science vs computer science.

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Data Science Dojo

SEPTEMBER 5, 2024

Data science and computer science are two pivotal fields driving the technological advancements of today’s world. It has, however, also led to the increasing debate of data science vs computer science. It has, however, also led to the increasing debate of data science vs computer science.

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Pickl AI

OCTOBER 29, 2024

Summary: This article delves into five real-world data science case studies that highlight how organisations leverage Data Analytics and Machine Learning to address complex challenges. From healthcare to finance, these examples illustrate the transformative power of data-driven decision-making and operational efficiency.

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Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

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Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Centralised access enhances teamwork and accelerates analytics projects.

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Analytics Vidhya

JANUARY 17, 2023

Corporations across all industries have invested significantly in big data, establishing analytics departments, particularly in telecommunications, insurance, advertising, financial services, healthcare, and technology. The post Step-by-Step Guide to Becoming a Data Analyst in 2023 appeared first on Analytics Vidhya.

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Eugene Yan

JUNE 20, 2018

Technical challenges easy compared to business and people issues. Sharing at the BDA Summit.

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Data Science Dojo

FEBRUARY 13, 2025

Data Security & Ethics Understand the challenges of AI governance, ethical AI, and data privacy compliance in an evolving regulatory landscape. Hence, for anyone working in data science, AI, or business intelligence, Big Data & AI World 2025 is an essential event.

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Data Science Dojo

JANUARY 31, 2023

Visualization With a new data visualization tool being released every month or so, visualizing data is key to insightful results. These are the characteristics of big data and help to understand its complexity. Big Data and Data Science are two concepts that play a crucial role in enabling data-driven decision making.

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Data Science Dojo

MAY 26, 2023

To counter these risks effectively, content filtering, network access control, and Office 365 security services emerge as valuable tools for safeguarding data against potential breaches. This article explores how these technologies can enhance data security in the era of big data analytics.

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Data Science Blog

JANUARY 15, 2024

Big Data Analytics stands apart from conventional data processing in its fundamental nature. In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture.

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Dataconomy

JUNE 14, 2017

Big data sets are so complex and large that common data processing tools and technologies cannot cope with them. The process of inspection of such data and uncovering patterns is called big data analytics. The basic question which arises in our mind is, “In what way is the drug discovery.

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Mlearning.ai

FEBRUARY 18, 2023

Techniques and Tools for Effective Decision-Making in Big Data Analytics Continue reading on MLearning.ai »

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Data Science Dojo

FEBRUARY 18, 2023

In the 2000s, the focus on Artificial Intelligence shifted to data-driven AI and big data analytics.     Today, AI is transforming industries such as healthcare, finance, transportation, and entertainment, and its impact is only expected to grow in the future.  Top AI tools to must learn in 2023 – Data Science Dojo Adapting to Artificial (..)

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Dataversity

FEBRUARY 10, 2022

The post Using Big Data Analytics to Combat White-Collar Crime appeared first on DATAVERSITY. Whereas white-collar crime used to conjure images of high-flying executives stealing from company coffers, the modern landscape is much more complex, […].

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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Pickl AI

JUNE 4, 2024

Summary: The healthcare industry is undergoing a data-driven revolution. Data Science is analyzing vast amounts of patient information to predict diseases before they strike, personalize treatment plans based on individual needs, and streamline healthcare operations. quintillion bytes of data each year [source: IBM].

Data Science 52

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Dataconomy

JULY 21, 2016

As can likely be expected, big data analytics is in the midst of an evolution. Big data is certainly no exception to these changes, especially as businesses understand its. The post What Real Time Streaming Means for Big Data appeared first on Dataconomy.

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Data Science Blog

MARCH 14, 2023

Big Data wurde für viele Unternehmen der traditionellen Industrie zur Enttäuschung, zum falschen Versprechen. Datenqualität hingegen, wurde zum wichtigen Faktor jeder Unternehmensbewertung, was Themen wie Reporting, Data Governance und schließlich dann das Data Engineering mehr noch anschob als die Data Science.

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ODSC - Open Data Science

MARCH 6, 2023

In a series of articles, we’d like to share the results so you too can learn more about what the data science community is doing in machine learning. For the last part of the first blog in this series, we asked about what areas of the field data scientists are interested in as part of the machine learning survey.

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Smart Data Collective

AUGUST 10, 2021

Has the cost of data installation and maintenance increased with each passing day at your company? If you answered yes, Big Data Analytics is the answer to all of your questions since they have extensive experience with big data technologies and procedures.

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Pickl AI

SEPTEMBER 11, 2024

Summary: The best Data Science Masters programs in 2024, including those from Jindal Global University, BITS Pilani, IIT Kanpur, and VIT, offer advanced curricula and industry connections. These programs equip you with the skills and knowledge to excel in high-demand Data Science roles and significantly boost your career prospects.

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Flipboard

DECEMBER 1, 2023

Tableau, TIBCO Data Science, IBM and Sisense are among the best software for predictive analytics. Explore their features, pricing, pros and cons to find the best option for your organization.

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Data Science Dojo

JULY 13, 2023

First, you should develop your skills in data analysis and data science. Second, you should gain experience working with data.

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Pickl AI

SEPTEMBER 24, 2024

Summary: This article outlines key Data Science course detailing their fees and duration. Introduction Data Science rapidly transforms industries, making it a sought-after field for aspiring professionals. The global Data Science Platform Market was valued at $95.3 Why Should You Learn Data Science?

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Pickl AI

JULY 18, 2023

Data Science helps businesses uncover valuable insights and make informed decisions. Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information. 8 Most Used Programming Languages for Data Science 1.

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Pickl AI

JANUARY 12, 2023

Due to the growing application of Data Science in different industries, companies are now looking forward to hiring individuals and training their employees on newer technologies that can eventually help the organization attain its goals. Best Data Science courses for working professionals 1.

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Smart Data Collective

APRIL 8, 2020

Big data and data warehousing. In the modern era, big data and data science are significantly disrupting the way enterprises conduct business as well as their decision-making processes.

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Pickl AI

APRIL 10, 2023

So, if you are eyeing your career in the data domain, this blog will take you through some of the best colleges for Data Science in India. There is a growing demand for employees with digital skills The world is drifting towards data-based decision making In India, a technology analyst can make between ₹ 5.5

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ODSC - Open Data Science

JUNE 4, 2024

The ODSC team will be hard at work getting the conference set up, so all sessions will be held virtually and will focus on data science and AI fundamentals, like programming, statistics, and mathematics for data science. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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Pickl AI

JULY 10, 2023

What is R in Data Science? As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. How is R Used in Data Science? R is a popular programming language and environment widely used in the field of data science.

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Mlearning.ai

AUGUST 18, 2023

Data Science in Healthcare: Advantages and Applications — NIX United The healthcare industry is one of the most complicated sectors to manage and optimize. Data science in healthcare is a promising field that can change the system and benefit hospitals, medical personnel, and patients.

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Smart Data Collective

SEPTEMBER 23, 2020

Type of Data: structured and unstructured from different sources of data Purpose: Cost-efficient big data storage Users: Engineers and scientists Tasks: storing data as well as big data analytics, such as real-time analytics and deep learning Sizes: Store data which might be utilized.

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Smart Data Collective

SEPTEMBER 19, 2022

To ensure their customers have a satisfactory experience, financial businesses will use big data analytics to tweak their services across various platforms to suit a customer’s needs. They will also use historical and real-time data to identify possible customer challenges.

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