There is no as such specific requirement needed. However, I would strongly suggest you to reconsider your approach. If you are beginning with data science, then you should not be worrying about what degree to get. What I believe you
I think a lot of people will say it's dealing with poorly formated data (I've heard of people being given excel, html even pdf data) but for me the most annoying thing is "look at this bad recommendation".My two
Is data science a career for me if I love making order out of chaos and solving problems? What other careers fit this description?
You mentioned some, but not all, of the traits that make for good data scientists. Usually dealing with data and fighting to glean valuable insights indeed includes making order out of chaos and solving problems. However, you also have to have a sense for numbers and an analytic mind. These are tools and
The demand for Data Science Analytics skill is going up steadily but there is a huge deficit on the supply side. In spite of Big Data Data Science Analytics being a ‘Hot' job, there is still a large number of unfilled jobs across the globe due to shortage of
My friends and I interviewed Jonathan Goldman, who is currently Director of Data Science and Analytics at Intuit (company). He's a rare example of an extremely experienced data scientist with a relatively long career history in data science! Check out his LinkedIn at Jonathan Goldman.
Will the data scientists become obsolete with the rise of AI in terms of coding, statistics, machine learning, database management, and visualization techniques?
It depends what you call data scientist. For me, machine learning people try to find more powerful algorithms for predictions with standard datasets while data scientists use rather standard algorithms with custom data. The job of the data scientist is to to define
Here is one question which I think am qualified to answer for.!I am a Mechanical Engineering graduate who had no prior knowledge about data science or for that matter even coding when I left my college six years back. Now I am working as a Lead Data Scientist in a reputed firm and also one
As others have mentioned: yes, you can be a data scientist.Going about being/becoming a data scientist is something that requires a longer answer: you have to consider the fact that the definition/role of a data scientist isn't necessarily written in stone across the global industry and the fact that data science teams are in vogue.However, over the years, we
Data Science: What are the most common reasons why mediocre data scientists don't become better data scientists?
What it means to be a good Data Scientist? I'll make what in my opinion would be the skills that you might need for the job, of course this is not a closed list rather than some that are important to meHaving good statistical intuitionKnow how to show dataBeing able to code and read data
Thanks Tarun Kumar M M for A2A.The main objective in data science is to do highest qualitative analysis of largest chunks of data in minimum possible time. Here is an algorithm for the your query.Step 1- Learn concept of linear algebra, Probability Theory and Statistics, Multivariate Calculus. Read Adarsh's answer to
They observe carefully and repeatedly.Then they study what they have observed and form theories using what they deduce from their observations.They determine what the theory predicts will happen under specific conditions.Then they design and run experiments to test those prediction.Then other scientists run those same experiments to verify that the results are the same
Beauty is in the eye of the beholder. For people that don't like data or coding or complex tech it is surely boring and likely overwhelming. People that can't handle a blank sheet well will feel tremendously pressured when starting some data science related work.But for those that
Definitely a 100% worth it, You are witnessing Industry revolution 3.0, wherein Data is transforming everything about business, how business works, increasing the productivity of Business, Lowering the failure rate, Lowering the wastage that was happening before. Need for Data Science professionals is at all time high as companies are
What are some actual projects that data scientists have worked on? What tools and analytical techniques were used, and what mistakes were made?
Here's one of the projects our Data Scientists conducted at Romexsoft - How Data Science Can Increase Ecommerce Profits.Recently an online retailer contacted us with the following problem(s). He has a large line of casual and sports clothing and shoes for people of all ages, for both genders, and
IntroductionThe constant evolution of technology has meant data and information is being generated at a rate unlike ever before, and it's only on the rise. According to research from Data61 in 2016, the world creates an additional 2.5 quintillion bytes of data each year, and 90 per cent of all
DATA SCIENCE is a combination of business knowledge, computer science and statistics. Business knowledge is required to understand and solve a problem. Then comes understanding data-where it is stored, in what form and how to extract it. Third is how
While trying to becoming a Data Scientist, there are many challenges that I can think of but here I will list a few generic challenges:> Perseverance: Random stats indicate that around 60% students (from online courses or even training centers) quit mid-way of their learning curve and that kinda makes sense considering the depth in knowledge that is
Let me break the truth to you. Data Scientist might be the sexiest job of the 21st century, but it's not everybody's cup of tea.I don't mean to be discouraging, but I have seen a lot graduates looking to make a career in data science, just because it's one of
Data science is such an overused term in the valley, and I'm afraid it's because of this there's no common story or experience that would help you out here. Everyone I've talked to who calls themselves a data scientist has vastly different responsibilities: all important, all relevant to the general field, mostly
Data Scientist is a person who digs meaningful information out of data. These data may be small size or Big Data. The major challenges are in exploring these big data and analyzing it. To understand the benefit of data science one must understand what is Big Data?Big data is a
Most of the people thinks that both are same but there is a minute difference between Data Scientist and Data Analyst if you will see in a concentrated way.SO let's see the key differences between Data scientist and Data Analyst.Data Scientist vs Data Analyst according to DefinitionA Data Scientist role is to predict future based
My brand new Nissan Rouge SL with all the packages imaginable does NOT have heated back seats. Every other car in this class with this trim level does. I have to explain to my passengers why their asses are cold. Speaking
I think a lot of people will say it's dealing with poorly formated data (I've heard of people being given excel, html even pdf data) but for me the most annoying thing is "look at this bad recommendation".My two favorite data science related quotes are something along the lines of "All models are wrong, but some are
What makes someone a scientist? What is the definition of being a scientist? Is it arrogant to self-describe as a scientist?
Here's a quote from physicist Richard Feynmann,
I have had the pleasure to work with a few exceptional data scientists (with some of them way back when it was not even called data science) and I have worked with plenty good ones. What they all had in common: self-sufficient coding,
Many organisations, from large to mid-sized business, are having the trouble accessing and utilizing the massive amounts of data. Means, they are not employing the power of Data Science. This term might seem a little disconcerting. But, the power of it is impressive. Many companies find this as difficult to understand its importance.
To my Knowledge,DATA COLLECTION !! & DATA CLEANING !! - I love to Hate these.Which is one critical part of the analysis. If your Data is not Clean or not in a format which can used to apply different Techniques using different Tools, You need to sit and look at each variable and check
Will it be a bad impression if I submit my take-home challenge 5 minutes before the deadline, as a part of the hiring process for a data scientist position? They gave me 1 week to complete it.
It won't matter at all if you did a good job. Most of my candidates take til the last minute.Hiring managers know these take home assignments are tough to fit in to a normal, busy schedule. Most of them just hope the best candidates hand it in and not bail.
Disclaimer: I, like everyone else, have certain biases. This, especially the three point list at the end of this answer, is just my opinion. But I think it's a pretty good one - the points in particular. Following them has stood me in good stead, and I've seen others who've ignored these aspects do terrible