Why is becoming a data scientist so difficult?

Asked by Last Modified  

1 Answer

Follow 2
Answer

Please enter your answer

It’s not surprising that you asked this question as the road to becoming a data scientist isn't easy. The primary reason behind it is that this field still lacks a proper development base. Also, there are a few points, which makes it a challenging skill to acquire: Problems: The problems tackled...
read more
It’s not surprising that you asked this question as the road to becoming a data scientist isn't easy. The primary reason behind it is that this field still lacks a proper development base. Also, there are a few points, which makes it a challenging skill to acquire: Problems: The problems tackled by a data scientist are tough to solve. One needs to be well-versed in mathematical studies, like algebra, calculus, statistics to fix the issues arose. Large Set of Data: In today’s world, there is a large amount of data present, and it becomes tedious at times for a Data Scientist to handle them. Above that, the data is unstructured most of the times. Acquiring multiple skills: A data scientist has to learn multiple skills at a time to be able to perform the tasks assigned. They should have proper knowledge of Maths, various programming languages like R, Python. Also, they should have adequate communication skills. Towards the end, it takes a lot of skills and knowledge to become a data scientist, but there is a saying “What is easy, is not worth taking.” So, if you think you have got what it takes to become a data scientist and if you prepare yourself well enough, then the ultimate result will be rewarding. All the best! read less
Comments

Related Questions

How to learn Data Science?
Hi, First of all thanks for the question. Data Science as a subject has multiple layers. A great way to get started would be to brush up basic statistical concepts. Fundamental concepts of probability,...
Hdhd
0 0
6
What background is required for data science?
Data scientists typically need at least a bachelor's degree in computer science, data science, or a related field. However, many employers in this field prefer a master's degree in data science or a related...
Shivani
0 0
5
I have 2+ yrs working experience in BI domain. Can I pursue Data science for a job change? Will I get Job opportunity as per my experience or not in field of data science? R or python what to chose?
Hi Asish you can choose R or Python selecting programming tools is not criteria learning Deep Analytics is most important you should focus on Mathematicsfor (classification algorithms) statistics(EDA...
Asish
0 0
8

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

Data Science & Analytics Modules
Overview of Data Science & Analytics Modules Data Science and Analytics programs typically consist of structured modules that build foundational knowledge and practical skills in data handling,...

Things to learn in Python before choosing any Technological Vertical
Day 1: Python Basics Objective: Understand the fundamentals of Python programming language. Variables and Data Types (Integers, Strings, Floats, Booleans) Basic Input and Output (using input()...

What Is R?
R is fast catching up as a must-know language because of the popularity of Data Science skill. R is a computer programming language which is particularly well suited to handling and sorting the large datasets...

What is Time Series?
What is a Time Series? Time Series data is a series of data points indexed or listed or graphed with an equally spaced period. Time series forecasting is the use of the model to predict future values...

What Is Cart?
CART means classification and regression tree. It is a non-parametric approach for developing a predictive model. What is meant by non-parametric is that in implementing this methodology, we do not have...

Recommended Articles

Whether it was the Internet Era of 90s or the Big Data Era of today, Information Technology (IT) has given birth to several lucrative career options for many. Though there will not be a “significant" increase in demand for IT professionals in 2014 as compared to 2013, a “steady” demand for IT professionals is rest assured...

Read full article >

Information technology consultancy or Information technology consulting is a specialized field in which one can set their focus on providing advisory services to business firms on finding ways to use innovations in information technology to further their business and meet the objectives of the business. Not only does...

Read full article >

Almost all of us, inside the pocket, bag or on the table have a mobile phone, out of which 90% of us have a smartphone. The technology is advancing rapidly. When it comes to mobile phones, people today want much more than just making phone calls and playing games on the go. People now want instant access to all their business...

Read full article >

Applications engineering is a hot trend in the current IT market.  An applications engineer is responsible for designing and application of technology products relating to various aspects of computing. To accomplish this, he/she has to work collaboratively with the company’s manufacturing, marketing, sales, and customer...

Read full article >

Looking for Data Science Classes?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you