Analytics Vidhya

NOVEMBER 24, 2020

Introduction One of the common queries I come across repeatedly on several forums is “Should I become a data scientist (or an analyst)?” The post Should I become a data scientist (or a business analyst)? ” The. appeared first on Analytics Vidhya.

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Data Scientist Analytics Analytics Big Data 329

Data Science Dojo

AUGUST 27, 2024

Want to know how to become a Data scientist? Use data to uncover patterns, trends, and insights that can help businesses make better decisions. A data scientist could analyze sales data, customer surveys, and social media trends to determine the reason. It’s like deciphering a secret code.

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Analytics Vidhya

DECEMBER 2, 2020

The post Window Functions – A Must-Know Topic for Data Engineers and Data Scientists appeared first on Analytics Vidhya. Overview Get to know about the SQL Window Functions Understand what the Aggregate functions lack and why we need Window Functions in SQL.

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Data Scientist Data Engineering Data Engineering Data Engineer 333

Data Science Dojo

FEBRUARY 13, 2025

With rapid advancements in machine learning, generative AI, and big data, 2025 is set to be a landmark year for AI discussions, breakthroughs, and collaborations. Big Data & AI World Dates: March 1013, 2025 Location: Las Vegas, Nevada In todays digital age, data is the new oil, and AI is the engine that powers it.

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insideBIGDATA

JULY 13, 2023

Hello, and welcome to the “Power-to-the-Data Report” podcast where we cover timely topics of the day from throughout the Big Data ecosystem. I am your host Daniel Gutierrez from insideBIGDATA where I serve as Editor-in-Chief & Resident Data Scientist.

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Analytics Vidhya

OCTOBER 30, 2020

Overview Data science certifications are ubiquitous – should you get one? The post Do you need a Certification to become a Data Scientist? If yes, which certification should you choose? Here, we list down the different. 5 Things you Should Consider appeared first on Analytics Vidhya.

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Data Scientist Data Science Analytics Analytics 306

Data Science Dojo

OCTOBER 31, 2024

For data scientists, this shift has opened up a global market of remote data science jobs, with top employers now prioritizing skills that allow remote professionals to thrive. Here’s everything you need to know to land a remote data science job, from advanced role insights to tips on making yourself an unbeatable candidate.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

insideBIGDATA

JULY 6, 2023

Hello, and welcome to the “Power-to-the-Data Report” podcast where we cover timely topics of the day from throughout the Big Data ecosystem. I am your host Daniel Gutierrez from insideBIGDATA where I serve as Editor-in-Chief & Resident Data Scientist.

Artificial Intelligence 394

Artificial Intelligence Artificial Intelligence Data Scientist Big Data 394

Analytics Vidhya

SEPTEMBER 13, 2022

Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources. Most data scientists, big data analysts, and business […].

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Dataconomy

FEBRUARY 23, 2023

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively.

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Big Data Big Data Data Engineering Data Engineering 173

Analytics Vidhya

MARCH 25, 2022

Introduction The thriving industry of Data Science is continuously evolving with the technological advancements in Machine Learning and Artificial intelligence. This has opened up whole new avenues for Data Scientists worldwide.

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Dataconomy

JULY 24, 2023

If you’ve found yourself asking, “How to become a data scientist?” In this detailed guide, we’re going to navigate the exciting realm of data science, a field that blends statistics, technology, and strategic thinking into a powerhouse of innovation and insights. What is a data scientist?

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Data Scientist Data Science Data Analyst Machine Learning 172

KDnuggets

NOVEMBER 28, 2019

A classic KDnuggets Thanksgiving cartoon examines the predicament of one group of fowl Data Scientists.

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Data Science Dojo

AUGUST 27, 2024

Data scientists use data to uncover patterns, trends, and insights that can help businesses make better decisions. A data scientist could analyze sales data, customer surveys, and social media trends to determine the reason. Handling Uncertainty: Data is often messy and incomplete.

Data Scientist 195

Data Scientist Data Science Machine Learning Machine Learning 195

Dataconomy

MARCH 5, 2020

They can’t do any of these things if it’s all one big mystery they don’t understand. The post Why Data Scientists Must Be Able to Explain Their Algorithms appeared first on Dataconomy. That means they need to understand what you’ve created, how it works, and what its limitations are. I’m afraid.

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Analytics Vidhya

JULY 4, 2024

In this Leading with Data Episode, we have with us Dr. Kirk Borne, a top global influencer, data scientist, astrophysicist, and TEDx speaker. He is a thought leader in big data, AI, machine learning, and more, and is an elected Fellow of the American Astronomical Society.

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insideBIGDATA

NOVEMBER 28, 2023

In this contributed article, Robyn Meyer, Vice President, Solutions at Transportation Insight, delves into the challenges faced by small and medium-sized businesses (SMBs) in leveraging data effectively and offers practical strategies to overcome these hurdles.

Data Scientist 397

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insideBIGDATA

FEBRUARY 23, 2023

Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work.

Data Scientist 542

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Data Science Dojo

JUNE 19, 2023

Organizations must become skilled in navigating vast amounts of data to extract valuable insights and make data-driven decisions in the era of big data analytics. Amidst the buzz surrounding big data technologies, one thing remains constant: the use of Relational Database Management Systems (RDBMS).

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insideBIGDATA

APRIL 19, 2023

Comet, a leading platform for managing, visualizing and optimizing models - from training runs to production monitoring, announced a new suite of tools designed to revolutionize the workflow surrounding Large Language Models (LLMs).

Data Scientist 396

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insideBIGDATA

JULY 9, 2024

Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, believes that as generative AI continues to evolve, its potential applications across industries are boundless. In this feature article, Daniel D.

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Analytics Vidhya

AUGUST 30, 2021

This article was published as a part of the Data Science Blogathon Introduction Spark is an analytics engine that is used by data scientists all over the world for Big Data Processing. It is built on top of Hadoop and can process batch as well as streaming data.

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Analytics Vidhya

NOVEMBER 26, 2020

Introduction In the last article, I shared a framework to help you answer the question, “Should I become a data scientist (or business analyst)?“ “ The post How To Have a Career in Data Science (Business Analytics)? appeared first on Analytics Vidhya.

Data Science 400

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Smart Data Collective

DECEMBER 21, 2021

Big data is a phrase that the industry coined in 1987 , but it took years before it became truly popular. By the time the name was a household term, big data was everywhere, and companies were seeking ways to store and use the data. Data scientists knew that big data could hold valuable insights.

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Pickl AI

APRIL 21, 2025

Summary: Big Data refers to the vast volumes of structured and unstructured data generated at high speed, requiring specialized tools for storage and processing. Data Science, on the other hand, uses scientific methods and algorithms to analyses this data, extract insights, and inform decisions.

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Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. You will have a much easier time creating a successful dropshipping business if you are proficient with big data.

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Dataconomy

MAY 16, 2023

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

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Smart Data Collective

NOVEMBER 24, 2022

The demand for AI and data science professionals is growing all over the world. Many data scientists are pursuing careers in Europe and Asian, which means that they have to be aware of the opportunities and requirements abroad. Italy is one of the most promising countries for people seeking careers in data science.

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Data Science Connect

JULY 24, 2023

In the realm of agriculture, harnessing the power of big data has emerged as a transformative force, revolutionizing traditional farming practices. One area where big data is making significant strides is in optimizing rainwater harvesting for irrigation purposes. This is where big data steps in to bridge the gap.

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Smart Data Collective

DECEMBER 21, 2022

Big data technology has become critical for modern life. A growing number of data scientists are being employed in various industries to help solve many challenges. The IT and cybersecurity sectors are heavily dependent on people with an expertise in data science. A Remote-friendly Career Path? Ethical Hacker.

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insideBIGDATA

JUNE 23, 2023

Kaggle is an incredible resource for all data scientists. I advise my Intro to Data Science students at UCLA to take advantage of Kaggle by first completing the venerable Titanic Getting Started Prediction Challenge, and then moving on to active challenges.

Data Science 468

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Smart Data Collective

SEPTEMBER 22, 2021

Data engineers and data scientists are focused on developing new applications to meet their goals. There are a lot of great software applications that can be used for a variety of data science objectives. Unfortunately, developing software that was capable of handling big data challenges has been rather complex.

Data Scientist 135

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Dataconomy

AUGUST 5, 2022

The much-awaited comparison is finally here: machine learning vs data science. The terms “data science” and “machine learning” are among the most popular terms in the industry in the twenty-first century.

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Machine Learning Machine Learning Data Scientist Data Science 253

Towards AI

FEBRUARY 10, 2024

Photo by CDC on Unsplash The Data Scientist Show, by Daliana Liu, is one of my favorite YouTube channels. Unlike many other data science programs that are very technical and require concentration to follow through, Daliana’s talk show strikes a delicate balance between profession and relaxation.

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Analytics Vidhya

FEBRUARY 19, 2020

Overview MongoDB is a popular unstructured database that data scientists should be aware of We will discuss how you can work with a MongoDB. The post MongoDB in Python Tutorial for Beginners (using PyMongo) appeared first on Analytics Vidhya.

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Analytics Vidhya

SEPTEMBER 21, 2020

Overview NoSQL databases are ubiquitous in the industry – a data scientist is expected to be familiar with these databases Here, we will see. The post 5 Popular NoSQL Databases Every Data Science Professional Should Know About appeared first on Analytics Vidhya.

Data Science 400

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Smart Data Collective

APRIL 5, 2022

It allows people with excess computing resources to sell them to data scientists in exchange for cryptocurrencies. Data scientists can access remote computing power through sophisticated networks. A data visualization interface known as SPSS Modeler. Neptune.ai. Neptune.AI is another popular hardware accelerator.

Data Scientist 145

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