Is Data Science A Good Career for you?

Is Data Science A Good Career for you?
Is Data Science A Good Career for you? Must have Skills!

I know how daunting it can be to switch careers to a different Industry. Perhaps it’s as easy as changing your mind and applying for the Courses and Jobs. Nevertheless, We'll be analyzing and back off, because the frightening feeling never lets us switch careers. Well, this blog is going to enlighten you on the topic, "Is Data Science A Good Career for you?"

 Simultaneously, Career Switching is not always a hard or pathetic decision! With the help of Professional Mentors, we can able to land even the most challenging jobs that we are eagerly dreaming about!

 

Indeed, Career Switching to Data Science seems challenging! Perhaps the Career Backlog thoughts will daunt you again, but worrying is not the feeling we need at this time, but precognitive! In addition, we should find some Professional Mentors who are experts in the Data Science field. 


Table of Contents:

1.     Definition of Data Science

2.     Statistics of Data Science Career

3.     Forecast of Big Data Market

4.     Types of Data Science Jobs

5.     Types of Industries Hiring Data Science Professionals

6.     Data Scientist Salaries in 2022

7.     Required Skills to become a Data Science Professional

8.     Final Verdict: Is Data Science A Good Career for you?

1) Definition of Data Science:

According to Google's Top Search Result by Wikipedia, Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data, and apply knowledge from data across a broad range of application domains.

In simple words, 'Data Science is a field of Big Data geared toward providing meaningful information based on large amounts of complex data. Data science, or data-driven science, combines different fields of work in statistics and computation to interpret data for the purpose of decision-making.

2) Statistics of Data Science Career:

Presenting you the Statistics of the Statista published on 28th April 2022, Facebook (Meta) roughly has under 3 billion users online worldwide as of the 2nd quarter of 2022. That’s a lot of data to sift through, especially if you’re looking for a way to market the company to more people.

Forecast of Number of monthly active Facebook users worldwide - Statista, 2022
Forecast of Number of monthly active Facebook users worldwide - Statista, 2022

Hence, Conglomerates like Meta will need a lot of data scientists, to help them analyze and digital market the social media platform to their targeted Audience. They’ll always need to be precognitive at information, like daily trending topics of the world, or the number of transactions that are placed on their social media platforms Facebook, Instagram, and WhatsApp.

So, as data scientists, it's our job to manage the massive amount of raw data (aka) big data, to find the statistics and patterns these decision makers will seek always.

3) Forecast of Big Data Market:

Forecast of the Revenue, Data Science and Big Data depends on that particular sector's business forecast too. Certainly, spiking trend line of dependence on digital technologies and the Internet, almost all the companies in the world are seeking more reliance on data scientists, to help them promote, develop, and grow their businesses. The global market for data science is predicted to be $103 billion by 2027 (Statista,2022) which means there is a huge demand for data scientists from now onwards and will be more in the future.

Big data market size revenue forecast worldwide from 2011 to 2027
Big data market size revenue forecast worldwide from 2011 to 2027

Promisingly, with this positive trend, everybody wants to study and work in data science in the, US, UK, and Europe! Even today, Data Scientists are one of the most needed professionals in every industry, all over the world. In fact, in the US and UK, a job in data science was listed as one of the top 10 in LinkedIn’s Emerging Job Reports in 2020!

4) Types of Data Science Jobs

Top Data Science Jobs in the industries are Data Scientists or Data Analysts, Machine Learning Data engineers & Data architects. It may sound surprising, but some Data Science jobs don't require prior experience; Which are,

 

·        Data analyst intern

·        Data entry clerk

·        Entry-level data analyst

·        Quality assurance analyst

·        Business analyst consultant

·        Data quality analyst

 

But to grab these entry-level opportunities, we need a strong Skillset and Mentorship required. MentorCruise offers high-class mentors from FAANG and other top-tier companies to help you get into data science. 

5) Types of Industries Hiring Data Science Professionals:

Almost every industry in the future digital world is seeking professionals in Data Science, and according to an article on LinkedIn, in 2021, the top 10 industries that are hiring data scientists are:

 

Data Scientists Salary of every demanding Industry
Data Scientist Salaries by Industry

  • Healthcare
  • Hospitality
  • Transportation
  • Education
  • Supply Chain
  • Retail
  • Banking
  • Finance
  • Real Estate  
  • Telecommunication

Overall, data science has become essential for every industry that wants to gain a competitive advantage in the market and optimize operations. 

6) Data Scientist Salaries in 2022

But with an average salary of $98,230 per year in the US, data analysis can be a lucrative career for those with strong skills in math, statistics, and problem-solving.

According to Glassdoor Salary Reports, Data Scientists working for Apple, UK are earning roughly $79K! Also, Meta Data Scientists earn roughly $115K! That’s why data science is a lucrative and prosperous career option for the future.

7) Required Skills to become a Data Science Professional:

Most people with the Data Science Career path in mind will work towards a degree in mathematics, economics, computer science, or statistics. 

Strong analytical skills: First and foremost, you’ll need to be able to analyze data and information to identify patterns, trends, and problems.

 

How to Become a Data Analyst with No Experience or Degree?
How to Become a Data Analyst with No Experience or Degree?

Programming Languages: Data analysts will communicate findings using specific programming languages, and most organizations have their preferences. The most common programming languages are Python and R.

 

·        Knowledge of software and digital tools

·        Attention to detail

·        Organizational skills

·        SQL

·        Statistical visualization

 Did you know that you can find a mentor specializing in Python right here at MentorCruise?

Find a mentor specializing in Python right here at MentorCruise
Find a mentor specializing in Python right here at MentorCruise

8) Final Verdict: Is Data Science A Good Career for you?

In a nutshell, YES! Data Science is a Good Career for you! If you are pursuing a Great Career! Perhaps try to Switch Careers in Data Science for not only is it a highly sought-after job role, but with the world becoming more digital, and with more raw data being added to the masses of databases online, more data scientists will be needed in the workforce. Not to mention the pay is worth the job!

And if you’re still unsure, then Speak with the Industry Experts at MentorCruise. They’ll be more than happy to help you in your journey in data science and its career potential.

MentorCruise has mentors who can teach you a range of different aspects of data science, from statistical analysis and data mining to those who want to teach you how to program, code, and create systems for companies and consultants. MentorCruise is there to help you start a new career not only with Data Science! 

Pursue your Brand New Career Path, with the guidance of Professional Mentors at MentorCruise!
Pursue your Brand New Career Path, with the guidance of Professional Mentors at MentorCruise!

Ultimately, I hope this blog had enlighten you on the topic, "Is Data Science A Good Career for you?" If you felt it's a time-worthy newsletter, Encourage me with a small Thumbs Up or Share it with anyone who is in need, indeed!

Good Luck with your Career Pursuit in Data Science!

Writing for your Successful Career!
Writing for Your Successful Career!








 

Special Thanks To:

MentorCruise

Statistica

Money.usnews.com

Wikipedia

InVestopedia.com

Mr. David Yakobovitch

Glassdoor.co.uk

DataCamp

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