If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…Continue
Added by Ann Rajaram on July 11, 2019 at 2:52pm — No Comments
Summary: The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the difference between higher and lower skilled data scientists. Salary increases show us whether demand is increasing, and finally we take a shot at determining which skills are most in demand.
Added by William Vorhies on July 1, 2019 at 8:00am — No Comments
Value of adopting Data Science Skills
Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of work in statistics and computation to interpret data for decision-making.
Advances in the internet and social media is increasing access to big data. Extraction of meaningful information requires the use of AI and ML by data science. Big data is used in every…Continue
Added by Yoey Thamas on June 4, 2019 at 2:33am — No Comments
In the late 1990s, AI rose to prominence. In 1997, IBM's Deep Blue…Continue
With the introduction of big data, the need for its storage increased gradually. Companies were focussing on building solutions and frameworks to store as much data as possible. When this problem is addressed by big names such as Hadoop, companies shifted their focus on data processing. Here, the popular term that everyone might have heard once is “data science.” Undoubtedly, data science is considered as the future of AI…Continue
Added by Ritesh Patil on December 6, 2018 at 2:00am — No Comments
Summary: Purpose Built Analytic Modules (PBAMs) such as those for Fraud Detection represent a fourth way to practice data science, a new model for the good use of Citizen Data Scientists, and a new market for AI-first companies.
Added by William Vorhies on September 18, 2018 at 9:07am — No Comments
After spending numerous evenings and weekends learning and coding for more than a year, you finally did it! You’ve now completed your data science program, earned your shiny certificate...now what? Chances are you were looking to get a job in data when you signed up for the course. So let’s face this, it is time to get a job! The only thing that’s standing…Continue
The following advice is built from my experience working as a data scientist on a variety of projects across different data & engineering teams. Many data scientists (myself included) do not come from a computer science or software development background, so may not have formal training or good habits in code writing. These tips should help data scientists work collaboratively to write good code and build models in a way that will be easier to…Continue
Added by Jason Byrne on March 2, 2018 at 3:00am — No Comments
You’ve perfected your CV, got great experience under your belt, maybe a PhD and can wrangle data amongst the finest but just how prepared are you for your next interview?
Just the thought of the face-to-face interview stage is enough to strike fear into the bravest of us. Here are a few things to keep in mind and stave off the sweaty palm syndrome. (Bonus tip – if you are prone to perspire through the palm, remember to use a…Continue
Added by Matt Reaney on December 6, 2017 at 2:00am — No Comments
The advancement of new technologies and the development of big data require professionals with skills in many fields: computer science, mathematics, statistics and business.
Every day in the world 2.5 trillion bytes of information are generated, so much so that 90% of the data worldwide have been created only in the last 2 years . This information comes from all sides, sensors that gather climate information, publications on social networks, digital…Continue
Added by Masud Rana on May 4, 2017 at 11:00am — No Comments
According to IBM, the world generates 2.5 quintillion bytes of data every day. A decent chunk of those quintillion bytes is made up of people asking the experts how to break into and excel in the dynamic, lucrative field of data science. An even larger chunk of those bytes consists of convoluted, contradicting answers to that question.
This is, on one hand, a great thing. Multiple prominent data science innovators are out there giving you free advice on your most pressing questions,…Continue
Added by Lauren Delapenha on April 20, 2017 at 6:30am — No Comments
The rise of the data scientists continues and the social media is filled with success stories – but what about those who fail? There are no cover articles praising the fails of the many data scientists that don’t live up to the hype and don’t meet the needs of their stakeholders.
The job of the data scientist is solving problems. And some data scientists can’t solve them. They either don’t know how to, or are obsessed about the technology part of the craft and forget what the job is…Continue
“What if we add these variables?..” is a deadly type of a question that can ruin your analytic project. Now, while curiosity is the best friend of a data scientist, there’s a curse that comes with it – some call it analysis paralysis, others – just over-analysis, but I call these situations “analytic rabbit holes”. As you start any data science project – be it an in-depth statistical research, machine learning model, or a simple business analysis – there…Continue
Added by Karolis Urbonas on March 28, 2017 at 2:30am — No Comments
A data scientist is an umbrella term that describes people whose main responsibility is leveraging data to help other people (or machines) making more informed decisions. The spectrum of data scientist roles is so broad that I will keep this discussion for my next post. What I really want to focus is on what are the distinctive characteristics of a great data scientist.
Over the years that I have worked with data and analytics I have found that this has almost nothing to do with…Continue
Added by Karolis Urbonas on March 20, 2017 at 12:00am — No Comments
We have all read the punchlines – data scientist is the sexiest job, there’s not enough of them and the salaries are very high. The role has been sold so well that the number of data science courses and college programs are growing like crazy. After my previous blog post I have received questions from people asking how to become a data scientist – which courses are the best, what steps to take, what is the fastest way to land a data science job?
I tried to really think it…Continue
The profusion of big data alongside helpful nudges from Wall Street has inspired many companies to create Chief Data Officer(CDO) and Chief Data Scientist(CDS) roles. The mandate for these roles remains inchoate much in tune with the incipient nature of application of machine learning and predictive analytics within a large corporate structure.
In a previous post, I had introduced a new paradigm – the…Continue
Added by Srividya Kannan Ramachandran on January 4, 2017 at 6:00pm — No Comments
Psst! Want to know a secret?
Engineers are no longer taking home a five figure salary. Instead, they are now expanding their reach to earn six figure incomes.
Wondering how they do it?
Well, for starters, they are well read and know what's trending in the industry. If there is a hiring pattern in the industry, they realize the potential of getting in it and exploring it further.
But, how can you replicate the same for your career?
Data Science can't be…Continue
‘Data science is the sexiest job of the 21st century’
This quote first appeared in the October 2012 issue of the Harvard Business Review. About 4 years later, it still hold true. According to glassdoor.com, Data Science is still the best job in the USA in 2016.
Of course, as you would expect, there…Continue
Added by Sivakumar Soundararajan on September 8, 2016 at 3:00am — No Comments
The proliferation of data and the huge potentialities for companies to turn data into valuable insights are increasing more and more the demand of Data Scientists.
But what skills and educational background must a Data Scientist have? What is its positioning within the organization? What tools and programming languages does he/she mostly use?
These are some of the questions that the…Continue
Added by Alessandro Piva on September 1, 2016 at 2:30am — No Comments
Data Visualization happens to be an uncomplicated way of assisting the human memory and enhancing decision making. A number of tools are there that are going to cater to the requirements of having a look at humongous statistics to the tune of Peta and Zeta bytes. Number crunching when the amount of data is huge is an incredibly testing job and this is software that is going to be your buddy in addressing testing business dilemmas.…Continue
Added by Pawan Dwivedi on August 3, 2016 at 11:00pm — No Comments