Analytics Vidhya

APRIL 17, 2023

Introduction Well, hold onto your seats because the DataHour sessions are here to revolutionize how you learn about data-driven technologies. If you’re tired of boring, dry sessions that put you to sleep faster than a lullaby, you’re in for a treat.

Data Science 224

Data Science Data Technology Deep Learning 224

Analytics Vidhya

JUNE 12, 2023

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

Machine Learning 228

Machine Learning Engineering Raw Data Data Science 228

Jesse Anderson

JANUARY 29, 2024

The premier of my latest talk covering The State of Data Engineering. This starts with data warehousing and goes into data science. I finish off by showing how data engineering can avoid the same fate as data warehousing and data science.

Data Engineer 130

Data Engineer Data Engineering Engineering Data Science 130

WeCloudData

JANUARY 24, 2024

"Discover Data Science, Engineering, and Analysis with WeCloudData. Propel your career in decoding insights, building data infrastructure, and actionable intelligence The post Different between Data Science, Engineering, and Analysis appeared first on WeCloudData.

Data Science 52

Data Science Engineering Data Building 52

Data Engineering Weekly

JULY 21, 2024

Editor’s Note: A New Series on Data Engineering Tools Evaluation There are plenty of data tools and vendors in the industry. Data Engineering Weekly is launching a new series on software evaluation focused on data engineering to better guide data engineering leaders in evaluating data tools.

Data Engineer 117

Data Engineer Data Engineering Engineering Generalist 117

Data Engineering Weekly

JULY 28, 2024

link] Chip Huyan: Building A Generative AI Platform We can’t deny that Gen-AI is becoming an integral part of product strategy, pushing the need for platform engineering. Switching from Apache Spark to Ray improves compact 12X larger datasets than Apache Spark, improves cost efficiency by 91%, and processes 13X more data per hour.

Data Engineer 109

Data Engineer Data Engineering Engineering Database-centric 109

Knowledge Hut

SEPTEMBER 6, 2023

Nowadays, I often hear people saying they aspire to become data scientists or they want to work with data, but they don’t know the path to do so. I myself have faced this problem and data science certifications come as a rescue for this problem. What is Data Science Certification?

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

JANUARY 18, 2024

Most organizations are still in the initial stages of learning how to apply data science to gain business benefits and healthy returns. People working as full stack data scientists are responsible for implementing the project from start to finish. What is Data Science? Who Is a Full-Stack Data Scientist?

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Data Science Computer Science Programming Language Machine Learning 96

Towards Data Science

MAY 13, 2024

Engineers, scientists, and analysts have the potential to greatly reduce carbon emissions by introducing sustainable, efficient, and… Continue reading on Towards Data Science »

Data Engineer 98

Data Engineer Data Engineering Engineering Data Science 98

Team Data Science

JANUARY 14, 2021

Job change within Data Science is definitely possible Well, it is possible to switch from one profession to another if only you can learn the fundamental and core things you must know before jumping into it. in data science in their research. These tools have helped a lot of people who do not have a Ph.D. See you later.

Data Science 130

Data Science Computer Science Data Engineer Data Engineering 130

Analytics Vidhya

JUNE 12, 2023

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

Machine Learning 183

Machine Learning Engineering Raw Data Data Science 183

Knowledge Hut

JANUARY 18, 2024

I’ve often noticed that people use terms like Data Science and Artificial Intelligence ( AI ) interchangeably. The key connection between Data Science and AI is data. Understanding  Data Science course eligibility  can help you understand more about Data Science. What is Data Science?

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

NOVEMBER 27, 2023

The Data Science learning path is a collective set of curated courses that comprise a learning plan for achieving the required skills for the data scientist role. While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Knowledge Hut

MAY 21, 2024

It would be helpful to know which laptops are most suited for your needs if you're a data scientist looking for the perfect one for your work. You have several options, but which is the best laptop for data science that satisfies all of your needs and demands? HP Envy 17T is a laptop designed for all your data science needs.

Data Science 98

Data Science Algorithm Datasets Electronics 98

Jesse Anderson

SEPTEMBER 14, 2023

There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. How can we use LLMs in data engineering?

Data Engineer 147

Data Engineer Data Engineering Engineering NoSQL 147

Knowledge Hut

JUNE 25, 2024

Many aspiring data scientists are working hard to earn a Certificate in Data Science with Python since Python is widely used in artificial intelligence for robots and voice assistants like Alexa, Siri, and Google Assistant, among others. Let's have a look at some of the top ones.

Data Science 97

Data Science Python Hadoop Media 97

KDnuggets

DECEMBER 6, 2022

SQL is the essential language for developers, engineers, and data professionals. Intermediate knowledge in SQL gives you an edge in your data science career.

SQL 154

SQL Data Science Data Engineering 154

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Choose data sets.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

KDnuggets

FEBRUARY 14, 2023

Docker is dependency management on steroids, helping to ensure both reproducibility and collaboration, making it an important tool for data science. Our latest cheat sheet serves as a handy Docker reference. Check it out now!

Data Science 156

Data Science Data Management IT 156

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. It can be daunting for someone new to data science.

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Team Data Science

MAY 26, 2020

Should you do a masters degree in data science in Germany? I mean the data science umbrella is not just data science, it's data engineering and data analysts and so on. Does it only go into data science? Is there more of a computer science or data technology orientation?

Data Science 130

Data Science Computer Science Data Engineer Data Engineering 130

Towards Data Science

MAY 22, 2023

Solving data preparation tasks with ChatGPT Photo by Ricardo Gomez Angel on Unsplash Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called “data preparation”. It comprises tasks such as data ingestion, data transformation and data quality assurance.

Data Engineer 90

Data Engineer Data Engineering Engineering Data Science 90

Knowledge Hut

FEBRUARY 1, 2024

Every time someone uses the internet, more data is added. We need assistance from various Data Science methodologies to make sense of this enormous amount of data and use it for the company's objectives, etc. Data science for eCommerce has been one of the most impactful technologies in recent years.

Data Science 96

Data Science Retail Algorithm Manufacturing 96

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Analytics Vidhya

JULY 25, 2023

In the world of data, two crucial roles play a significant part in unlocking the power of information: Data Scientists and Data Engineers. But what sets these wizards of data apart? Welcome to the ultimate showdown of Data Scientist vs Data Engineer! appeared first on Analytics Vidhya.

Data Engineer 200

Data Engineer Data Engineering Engineering Data 200

Towards Data Science

JANUARY 5, 2024

Data Science Better Practices, Part 2 — Work Together You can’t just throw more data scientists at this model and expect the accuracy to magically increase. Photo by Joseph Ruwa: [link] (Part 1 is here) Not all data science projects were created equal.

Data Science 74

Data Science Datasets Machine Learning Data 74

KDnuggets

JULY 13, 2022

Linear Algebra for Data Science; 10 Modern Data Engineering Tools; Python String Processing Cheatsheet; Simple Salary Guide for Tech Experts 2022; 16 Essential DVC Commands for Data Science.

Data Science 110

Data Science Data Engineer Data Engineering Engineering 110

Knowledge Hut

DECEMBER 26, 2023

Data science is a field of study that works with large amounts of facts and uses splitting tools and methods to uncover hidden patterns, extract useful data, and make business choices. Data scientists use complex machine learning techniques to develop prediction models. Why Should You Learn Data Science?

Data Science 98

Data Science Programming Language Deep Learning Machine Learning 98

Team Data Science

SEPTEMBER 1, 2020

In which regions or countries is there a boom in the field of Data Sciences and thus a large number of jobs? The USA as an advanced country Companies in the USA are obviously very, very advanced with Data Science. Germany's Silicon Valley But there are also some centers in Germany that work a lot with Data Science.

Data Science 130

Data Science Computer Science Manufacturing Education 130

Knowledge Hut

JANUARY 29, 2024

Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. With the help of data science, one can gather all the critical analyses from vast chunks of data stored in clouds.

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Cloud Computing Data Science Cloud Amazon Web Services 98

Towards Data Science

NOVEMBER 20, 2024

Data is booming. Is it worth switching to a data career now? It is worth mentioning that this article comes from an Electrical and Electronic Engineer graduate who went all the way and spent almost 8 years in academia learning about the Energy sector (and when I say all the way, I mean from a bachelor degree to a PhD and postdoc).

Data Engineer 40

Data Engineer Data Engineering Engineering Electronics 40

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Materialize]([link] Looking for the simplest way to get the freshest data possible to your teams?

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

Lyft Engineering

APRIL 24, 2024

At Lyft, data scientists tackle challenging technical problems every day. To support and empower our data scientists, Lyft’s Technical Learning Council (TLC) provides diverse and high-quality continuous learning opportunities to hone their technical skills. Written by Shumpei Goke and Jinshu Niu Why Technical Learning?

Data Science 67

Data Science Building Computer Science Software Engineering 67

Jesse Anderson

DECEMBER 12, 2022

They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. With an immutable file system like HDFS, we needed scalable databases to read and write data randomly. Apache Spark came in 2009 and gave a unified batch and streaming engine.

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Towards Data Science

AUGUST 23, 2024

Expert techniques to elevate your analysis Continue reading on Towards Data Science »

Data Science 66

Data Science SQL Data Data Engineering 66

Knowledge Hut

APRIL 26, 2024

In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.

Data Science 52

Data Science Machine Learning Hadoop Algorithm 52