Why Data science a Buzz Word Now in the Industry???

Data Science Recently become a Buzz Word in Tech World, Promising High pay and Great Job Growth. its Popularity Made Becoming Data scientists a Coveted Career. Lets see the Top Reasons why Data Science Jobs are in demand :

1. Companies are facing challenges with the handling of data/Organizing Data : A huge amount of data is generated every day by companies. This means every company is now sitting with a pile of data and does not really know what to do with that data. So to organize this volume of data and draw meaningful insights from it, they require people who are experts in Data Science.

2. Shortage of skilled resources : The demand is particularly acute in India, where the technologies and tools now exist but not the skilled users. In fact, co-founder and CEO of Fractal Analytics, Srikanth Velamakanni says, “There are two types of talent deficits: Data Scientists, who can perform analytics and Analytics Consultant, who can understand and use data. The talent supply for these job titles, especially Data Scientists is extremely scarce, and the demand is huge.”

3.Entry Barriers for Other Professionals from Different Domain Backgrounds/Different Industries : Many data science professionals come from mathematics/statistics, computer science, engineering, and natural science background whereas some have degrees in business, economics and social science. Those who do not have a foundation in computer/math may face difficulty but can manage to upskill themselves through online courses.

4. The Pay is Great : Given the high demand for Data Scientists and other data science roles, the salaries for the position are also raised. This job is among the top-paying in the industry right now. According to Glassdoor, the average salary for data scientist/analyst tops more than $62,000 in the U.S. In India, the experience strongly influences the pay. Those with the right skillset earn as high as 25 lacs per annum. And the average pay for a beginner Data Scientist, IT is Rs 12 lacs per year.

5. A Plethora of Roles : Data science combines several disciplines, including statistics, data analysis, machine learning, and computer programs. Roles such as that of a Data Scientist, Data Analyst, Data Architect, Business Analyst, Data Engineer, Database Administrator, The Statistician, Data and Analytics Manager are in high demand.

Data Scientist is one of the most demanded job titles you can have these days and is among the top earners in the field of data science.

Related Posts

Using [] Brackets in Python

We Will Work on this Example in Google Colab, As we have seen Accessing Python through Google Colab in my previous Posts. (Accessing Python Through Google Colab: – Sri Tech Studio) I have assigned The Range of values from 1 to 5 in Variable x, printed the Variable x and…

Creating Lists in python

Assigned 3,45,50,100 Values in Variable Named data and Print the data and Check the datatype of the data variable, The data type is shown as List. As We have also Printed Different Datatype Values in Variable data1; List is a heterogeneous data type so it will allow us to print…

Lists in Python:

Lists are just like dynamic sized arrays, declared in other languages (vector in C++ and Array in C & Java). Lists need not be homogeneous always which makes it a most powerful tool in Python. A single list may contain Datatypes like Integers, Strings, as well as Objects. Lists are mutable, and…

IF Statement in Python:

There comes a situation in real life when we need to make some decisions and based on these decisions, we decide what should we do next. Similar situations arise in programming also where we need to make some decisions and based on these decisions, we will execute the next block…

For loop in python

For loops are used for sequential traversal. For example: traversing a list or string or array etc. The for loop in Python is used to iterate over a sequence (list, tuple, string) or other iterable objects. Iterating over a sequence is called traversal. Let’s quickly work on few examples: Here…

Working with While Loop in Python

In Python, While Loops is used to execute a block of statements repeatedly until a given condition is satisfied. And when the condition becomes false, the line immediately after the loop in the program is executed. While loop falls under the category of indefinite iteration. Indefinite iteration means that the number of times…

Markdown cell in Jupyter Notebook

Jupyter Notebook(formerly IPython Notebook) is a web-based interactive computational environment for creating Jupyter notebook documents. Markdown is a light weight and popular Markup language which is a writing standard for data scientists and analysts. It is often converted into the corresponding HTML by which the Markdown processor allows it to…

Data Types in python:

Data types are the classification or categorization of data items. It represents the kind of value that tells what operations can be performed on a particular data. Since everything is an object in Python programming, data types are classes and variables are instance (object) of these classes. The variable in…

Variables in Python:

Variables are nothing but reserved memory locations to store values. This means that when you create a variable you reserve some space in memory. Based on the data type of a variable, the interpreter allocates memory and decides what can be stored in the reserved memory. Therefore, by assigning different…

Get Started with Python Syntax

Python Indentation: The indentation in Python is very important. Indentation refers to the spaces at the beginning of a code line. Where in other programming languages the indentation in code is for readability only, the indentation in Python is very important. Python uses indentation to indicate a block of code. Let’s quickly look into few examples how Python indentation…