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
Why I'm writing this answer: I'm the Director of Educational Outcomes at Galvanize, which runs a 12-week 12-week data science program, Zipfian Academy AND a 1-year Masters program focused on data science and data engineering. I'm required by law to track salaries of our program graduates,
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
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
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
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
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
Which career is more promising: data scientist or software developer? Which is better in terms of salary and long term growth, and why?
First off, let's try to define/distinguish between the 3 roles described:Software Engineer - Are hardcore computer programmers who live their lives writing lines of code, usually at a pretty low level (C/C++ programmers). They design and build entire software architectures for
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.