What is a Data Scientist Worth?
KDnuggets
DECEMBER 23, 2019
What is the Salary of a Data Scientist in 2019? Let's have a look at some data to see how we can answer that question.
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KDnuggets
DECEMBER 23, 2019
What is the Salary of a Data Scientist in 2019? Let's have a look at some data to see how we can answer that question.
KDnuggets
AUGUST 16, 2019
As a data scientist, you are in high demand. Check out these current trends in skills most desired by employers in 2019. So, how can you increase your marketability even more?
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KDnuggets
DECEMBER 18, 2019
Ready to try to get hired as a data scientist for the first time? Avoiding these common mistakes won’t guarantee an offer, but not avoiding them is a sure fire way for your application to be tossed into the trash bin.
KDnuggets
SEPTEMBER 24, 2019
How can you keep your machine learning models and data organized so you can collaborate effectively? Discover this new tool set available for better version control designed for the data scientist workflow.
KDnuggets
SEPTEMBER 9, 2019
This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when starting on your journey.
KDnuggets
JULY 26, 2019
Education, coding, SQL, big data platforms, storytelling and more. These are the 13 skills you need to master to become a rockstar data scientist.
KDnuggets
OCTOBER 16, 2019
A guide covering the things you should learn to become a data scientist, including the basics of business intelligence, statistics, programming, and machine learning.
KDnuggets
NOVEMBER 22, 2019
If you are a new Data Scientists early in your professional journey, and you’re a bit confused and lost, then follow this advice to figure out how to best contribute to your company.
KDnuggets
OCTOBER 30, 2019
Here are five statistical fallacies — data traps — which data scientists should be aware of and definitely avoid.
KDnuggets
SEPTEMBER 25, 2019
As a data scientist, you can get lost in your daily dives into the data. Consider this advice to be certain to follow in your work for being diligent and more impactful for your organization.
KDnuggets
JULY 25, 2019
As long as there is ‘data’ in data scientist, Structured Query Language (or see-quel as we call it) will remain an important part of it. In this blog, let us explore data science and its relationship with SQL.
Dataconomy
JANUARY 24, 2019
Here is what a recent report says about job opportunities for Data Scientists across Europe including salaries and benefits, job motivations, programming languages used, tech skills and what people want most from their work. Glassdoor names “Data Scientist” as the best job in the United States for 2019 and LinkedIn.
KDnuggets
SEPTEMBER 6, 2019
Instead of focusing on skills thought to be required of data scientists, we can look at what they have actually done before.
KDnuggets
SEPTEMBER 16, 2019
The career path of the Data Scientist remains a hot target for many with its continuing high demand. Learn more about one person's experience making this journey, and discover the many resources available to help you find your way into a world of data science.
KDnuggets
AUGUST 27, 2019
Despite the increasing demand and appetite for experienced data scientists, the job is ambiguously described most of the times. Also, the delineation between data science and data analytics or engineering is still loosely defined by a lot of hiring managers.
KDnuggets
AUGUST 13, 2019
Creating effective data visualisations is a core skill for data scientists. This tutorial will guide you through how to easily develop interactive visualisations using the Python library plotly.
KDnuggets
AUGUST 23, 2019
Whenever we hear "data," the first thing that comes to mind is SQL! SQL comes with easy and quick to learn features to organize and retrieve data, as well as perform actions on it in order to gain useful insights.
KDnuggets
OCTOBER 22, 2019
For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.
KDnuggets
SEPTEMBER 10, 2019
In this post, I am going to be talking about some of the most important graph algorithms you should know and how to implement them using Python.
KDnuggets
OCTOBER 16, 2019
This post is about various evaluation metrics and how and when to use them.
KDnuggets
AUGUST 30, 2019
Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.
KDnuggets
DECEMBER 20, 2019
By the end of this article you’ll know which technologies are becoming more popular with employers and which are becoming less popular.
KDnuggets
AUGUST 15, 2019
Check out this introductory guide to completing simple tasks with the command line.
Data Science 101
FEBRUARY 11, 2019
The profile of a data scientist is changing slightly as the profession becomes more solidified. Data Science 365 conducts a study to determine some of the characteristics of a “typical data scientist.” It is definitely worth looking at to understand the attributes of a data scientist in 2019.
KDnuggets
DECEMBER 3, 2019
With deep learning and AI on the forefront of the latest applications and demands for new business directions, additional education is paramount for current machine learning engineers and data scientists. These courses are famous among peers, and will help you demonstrate tangible proof of your new skills.
KDnuggets
SEPTEMBER 27, 2019
This live webinar, Oct 2 2019, will instruct data scientists and machine learning engineers how to build manage and deploy auto-adaptive machine learning models in production. Save your spot now.
KDnuggets
SEPTEMBER 24, 2019
Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.
KDnuggets
SEPTEMBER 16, 2019
Also: The 5 Graph Algorithms That Data Scientists Should Know; Many Heads Are Better Than One: The Case For Ensemble Learning; BERT is changing the NLP landscape; I wasn't getting hired as a Data Scientist; There is No Free Lunch in Data Science.
KDnuggets
OCTOBER 18, 2019
If you want to launch your data science skills into freelance work, then check out these important tips to help you kick start your next adventure in data.
KDnuggets
JULY 30, 2019
This article is designed to give you a full picture from constructing a hypothesis testing to understanding p-value and using that to guide our decision making process.
KDnuggets
SEPTEMBER 4, 2019
This week: Object-oriented programming for data scientists; Deep Learning Next Step: Transformers and Attention Mechanism; R Users' Salaries from the 2019 Stackoverflow Survey; Types of Bias in Machine Learning; 4 Tips for Advanced Feature Engineering and Preprocessing; and much more!
Dataconomy
DECEMBER 19, 2019
A sneak-peek into a few AI trends we picked for you from Data Natives 2019 – Europe’s coolest Data Science gathering. The post Picks on AI trends from Data Natives 2019 appeared first on Dataconomy.
KDnuggets
SEPTEMBER 10, 2019
Also: Top Handy SQL Features for Data Scientists; 12 NLP Researchers, Practitioners & Innovators You Should Be Following; Knowing Your Neighbours: Machine Learning on Graphs.
KDnuggets
SEPTEMBER 18, 2019
Algorithms are at the core of data science and sampling is a critical technical that can make or break a project. Learn more about the most common sampling techniques used, so you can select the best approach while working with your data.
KDnuggets
NOVEMBER 27, 2019
This week: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead; Advice for New and Junior Data Scientists; Python Tuples and Tuple Methods; Can Neural Networks Develop Attention? Google Thinks they Can; Three Methods of Data Pre-Processing for Text Classification.
KDnuggets
SEPTEMBER 4, 2019
Also: The secret sauce for growing from a data analyst to a data scientist; 4 Tips for Advanced Feature Engineering and Preprocessing; R Users’ Salaries from the 2019 Stackoverflow Survey; Emoji Analytics.
KDnuggets
OCTOBER 22, 2019
Convert your Data Science Projects into cool apps easily without knowing any web frameworks.
KDnuggets
DECEMBER 2, 2019
So, the best data scientists understand the numbers and the people. Check out these great data science books that will make you a better data scientist without delving into the technical details.
KDnuggets
OCTOBER 8, 2019
Also: 10 Great Python Resources for Aspiring Data Scientists; Python Libraries for Interpretable Machine Learning.
Smart Data Collective
APRIL 14, 2020
The future of data science jobs continues to be brighter than ever in 2020. According to Glassdoor’s list of Best Jobs in America for the past four years, “data scientist” topped in terms of job demand, job satisfaction, and pay with an average base salary of more than $100,000 per year. 11% started as a data analyst.
KDnuggets
OCTOBER 22, 2019
AI is becoming more mainstream. The fact that computers/robots will learn after being built and will surpass a human's intelligence is terrifying.
KDnuggets
DECEMBER 19, 2019
Over the years new alternative providers have risen to provided a solitary data science environment hosted on the cloud for data scientist to analyze, host and share their work.
KDnuggets
OCTOBER 31, 2019
A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.
KDnuggets
SEPTEMBER 11, 2019
How one person overcame rejections applying to Data Scientist positions by getting actual data on who is getting hired; Advice from Andrew Ng on building ML career and reading research papers; 10 Great Python resources for Data Scientists; Python Libraries for Interpretable ML,
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