Top SQL Queries for Data Scientists
KDnuggets
MAY 31, 2024
SQL seems like a data science underdog compared to Python and R. I’ll show you here how you can use it as a data scientist. However, it’s far from it.
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KDnuggets
MAY 31, 2024
SQL seems like a data science underdog compared to Python and R. I’ll show you here how you can use it as a data scientist. However, it’s far from it.
KDnuggets
SEPTEMBER 26, 2022
The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.
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Analytics Vidhya
MAY 8, 2024
Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning – it would be GitHub.
KDnuggets
AUGUST 12, 2024
Want to take the next step in your journey to becoming a data scientist? Check out these Python libraries for data science that you can't do without.
KDnuggets
OCTOBER 15, 2024
This guide emphasizes the growing significance of GenAI but also highlights the crucial role that data scientists play in harnessing this technology to solve real-world problems.
insideBIGDATA
NOVEMBER 12, 2024
Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, explores why mathematics is so integral to data science and machine learning, with a special focus on the areas most crucial for these disciplines, including the foundation needed to understand generative AI. In this feature article, Daniel D.
KDnuggets
FEBRUARY 23, 2023
Knowing these 5 statistical paradoxes is essential for data scientists to improve their analyses and machine learning models.
KDnuggets
JULY 12, 2024
Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.
Analytics Vidhya
JULY 21, 2024
A fundamental understanding of statistical tests is necessary to derive insights from any data. These tests allow data scientists to validate hypotheses, compare groups, identify relationships, and make predictions with confidence.
Analytics Vidhya
APRIL 8, 2023
Introduction Are you a data scientist looking for an exciting and informative read? In this experiment, I put ChatGPT to the test and challenged it to […] The post How to Use ChatGPT as a Data Scientist? Look no further, because I’ve got a treat for you! appeared first on Analytics Vidhya.
KDnuggets
JULY 24, 2024
From the soft tools to the hard tools, these are what make a data scientist successful.
Analytics Vidhya
SEPTEMBER 20, 2023
In today’s day and age, data science roles have become essential for organizations to survive. As per Glassdoor, the role of a Data Scientist has consistently ranked among the most sought-after job roles in the USA for four consecutive years. Wondering how to become a data scientist in USA? Don’t worry!
Analytics Vidhya
JUNE 29, 2023
Yet, most of them lack the knowledge to fully utilize every bit of the data they have collected. Data scientists come into play in this scenario. Data scientists, an emerging class of analytical data specialists, are an increasingly important player in businesses. appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 5, 2024
The latest member to this evolving landscape is Nandi, a Telugu language model, finely crafted by freelance data scientist Bharadwaj Swarna.
KDnuggets
MARCH 22, 2022
Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.
Analytics Vidhya
SEPTEMBER 25, 2023
Introduction Why does a professional choose to be a data scientist after BCom? That reminds us of the fact that data sciences have recently earned a great reputation in the professional arena in terms of the rapid vocational […] The post How to Become a Data Scientist After BCom?
Analytics Vidhya
OCTOBER 26, 2023
Introduction Python is a versatile and powerful programming language that plays a central role in the toolkit of data scientists and analysts. Its simplicity and readability make it a preferred choice for working with data, from the most fundamental tasks to cutting-edge artificial intelligence and machine learning.
Analytics Vidhya
DECEMBER 12, 2023
Introduction The field of data science is evolving rapidly, and staying ahead of the curve requires leveraging the latest and most powerful tools available. In 2024, data scientists have a plethora of options to choose from, catering to various aspects of their work, including programming, big data, AI, visualization, and more.
Analytics Vidhya
APRIL 14, 2023
Artificial General Intelligence: Unlocking Unprecedented Wisdom and Insight In an eye-opening interview, Ilya Sutskever, Co-founder and Chief Data Scientist at OpenAI, unveiled the untapped potential of Artificial General Intelligence (AGI).
KDnuggets
MARCH 18, 2025
A simple guide that tells you what you need to know about MicroPython and why you should use it as a Data Scientist
KDnuggets
APRIL 10, 2023
I recently tasked ChatGPT-4's to come up with a new programming language appropriate for data scientists in their day to day tasks. Let's look at the results, and the process of getting there.
Analytics Vidhya
DECEMBER 20, 2023
As a data scientist, I contemplate my aspirations for the upcoming year with diverse goals. I envision harnessing cutting-edge technologies and refining analytical skills to unravel […] The post 10 New Year Resolutions for Every Data Scientist appeared first on Analytics Vidhya.
KDnuggets
FEBRUARY 25, 2025
Directions to become "upgraded" data scientists prepared to fully leverage generative AI technologies in the year ahead.
KDnuggets
JUNE 17, 2024
Let's dive into what data scientists should know about OpenUSD and how it can enhance their workflows.
Analytics Vidhya
JANUARY 21, 2024
As organizations understand the power of artificial intelligence to derive insights from vast datasets, data scientists equipped with deep learning expertise have become invaluable assets.
Data Science Dojo
APRIL 25, 2023
SQL (Structured Query Language) is an important tool for data scientists. It is a programming language used to manipulate data stored in relational databases. Mastering SQL concepts allows a data scientist to quickly analyze large amounts of data and make decisions based on their findings.
Analytics Vidhya
FEBRUARY 5, 2024
In this digital age, data is like the magic behind the scenes, connecting everything and everyone. But here’s the catch – there’s so much data that we need smart people to […] The post Top 5 Reasons to Become a Data Scientist appeared first on Analytics Vidhya.
KDnuggets
MARCH 7, 2025
Explore how AI agents are transforming industries, from chatbots to autonomous vehicles, and learn what data scientists need to know to implement them effectively.
Analytics Vidhya
NOVEMBER 30, 2023
This feature […] The post ChatGPT’s Code Interpreter: GPT-4 Advanced Data Analysis for Data Scientists appeared first on Analytics Vidhya. One of the most exciting features of ChatGPT is its ability to generate code snippets in various programming languages, including Python, Java, JavaScript, and C++.
Machine Learning Mastery
MARCH 6, 2024
Data transformations enable data scientists to refine, normalize, and standardize raw data into a format ripe for analysis. This post will primarily focus on how to address skewed data. This post will primarily focus on how to address skewed data.
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.
Machine Learning Mastery
JANUARY 8, 2025
Data scientists, machine learning practitioners, and AI engineers alike can fall into common training or fine-tuning patterns that could compromise a model’s performance or scalability. Introduction Training large language models (LLMs) is an involved process that requires planning, computational resources, and domain expertise.
KDnuggets
MAY 22, 2024
Do you want to start your data science journey? If yes, then these Harvard courses might be perfect to start.
KDnuggets
DECEMBER 9, 2022
As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand?
KDnuggets
AUGUST 18, 2022
If you’re considering a career in data science, it’s important to understand how these two fields differ, and which one might be more appropriate for someone with your skills and interests.
Analytics Vidhya
DECEMBER 18, 2024
Working with APIs in Google Colab is a common practice for data scientists, researchers, and developers. However, handling API keys, which are essentially passwords granting access to these services, requires careful consideration.
Towards AI
NOVEMBER 9, 2024
Author(s): Julia Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Everybody’s talking about AI, but how many of those who claim to be “experts” can actually break down the math behind it?
KDnuggets
MARCH 13, 2024
Want to move into the data science field? Or advance your career in the data? Don’t miss these must-have skills.
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.
KDnuggets
OCTOBER 18, 2024
Don’t miss the templates that could improve your productivity.
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.
KDnuggets
SEPTEMBER 16, 2024
Image by Author | Canva In data science, handling different types of data is a daily challenge. One of the most common data types is categorical data, which represents attributes or labels such as colors, gender, or types of vehicles.
KDnuggets
JANUARY 18, 2023
Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.
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.
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