Is Data Science a Good Career Option?

One of the most rewarding, promising and in-demand career option today is Data Science. Thus, it is considered the number 1 Profession now.

Every day we come across hundreds of queries related to the job opportunities, courses, eligibility requirements, and more related to the profession. Till now, very few people actually know what data science is what a data scientist does!

Here we attempt to cover all such details, helping students to find answers to all their queries.

The craze for Data Science!

So, why is this sudden craze for a profession about which we know very little? This is because of future prospects.

Data professionals know that they need to advance their programming skills, their data mining skills, and data analysis skills. It is all aimed towards uncovering useful and valuable information for their organization. Data scientists are the professionals who need to completely master this data science life cycle so that they have the desired amount of understanding and flexibility. The objective is to maximize the returns at each phase.

What does a data scientist do?

In the last 10 years, we have noticed that data scientists are like assets for most organizations. These people are qualified and data-driven individuals. They have extremely high levels of technical skills and can build quantitative algorithms. This is for organizing and synthesizing a large quantity of information and data. Such information and data are mainly for answering questions that are specific to the strategies of an organization.

Such individuals are also known for their extraordinary communication skills and leadership traits which are a must for delivering results to businesses and stakeholders.

So, how are data scientists as individuals?

They are intelligent, curious and they work for results. They are known for their knowledge & communication skills. Communication skills are necessary because they need to explain all technical results to others.

They are highly focused, they have strong programming knowledge which helps in analyzing algorithms, data warehousing, and in mining.

Data Scientists Career and Salary:

Highly-paid for their extraordinary technical skills, data scientists are known for their high salaries. One of the most in-demand professions, Glassdoor alone has more than 6000 open positions listed. Data scientists who are experienced and skilled are employed by some of the best forward-thinking companies.

Salary of Data Scientists:

The median salary of data scientists remains at approximately $95,000. Mid level professionals get a salary of around $130,000. Those who are in a managerial role can get a salary of approx. $195,000.

For those who are interested in the career and profession need to know a few terms and answers before they pursue their career.

So, why is the profession so much in demand?

What is the use of data science?

Data science is a process that helps businesses in their decision-making process with the help of advanced interpretation, enhanced modeling & deployment. Thus, it gets easier to visualize data that is understandable. This helps in creating trajectories and future roadmaps essential for the growth of a company.

Is Data Science Hard?

Yes, it is because it is vast and involves several things. However, if the student gets guidance, one can build a career in data science. As a beginner, it can be quite overwhelming and frustrating. The learning process might be long and challenging.

Can you learn Data Science on Your Own?

There are many institutes that offer online courses on data science. Yes, one can learn data science on own, but it is all about immense discipline, interest, and persistence that keeps one going.

How Long Does it Take?

To become a data scientist, it might take you 3-4 years. Those who choose to do their Master’s degree might have to study for around 1-2 years additionally. Thus, the total time might be up to 6 years.

Skills of a Data Scientist

As understood, a data scientist is one who is qualified, knowledgeable, and focused. There are a few skills that every data scientist is required to possess for a successful career. Thus, one needs to ensure the following skills.

  • Strong communication skills
  • Strong and thorough knowledge of mathematics and statistics
  • Analytical and Modeling knowledge
  • Complete knowledge of machine learning methods
  • Programming skills
  • Data visualization skills
  • Curiosity and eagerness to learn
  • Strong business acumen

Can a Fresher Become Data Scientist?

In the present times, many organizations have openings for data scientists. Thus, if you are interested in a career, you will have a lot of employment opportunities.

However, if one desires to work as a data scientist, one needs to be proficient in computer science, statistics, and mathematics.

Eligibility for Data Science:

  • Bachelors in Engineering/Computer Applications/Mathematics/Commerce/Science/Engineering
  • Masters in Commerce/Statistics/Mathematics

Subjects in data science

  • Role and responsibilities of data scientist
  • What is data and its importance
  • Statistics
  • Information visualization
  • Data acquisition & data science life cycle
  • Algorithms that are a part of machine learning

Will data science exist in 10 years?

Data scientists will have a successful career as their role is to grow higher in 2029. The role and responsibilities of data scientists might change but the profession will always be a coveted one. Thus, youngsters are now showing keen interest in the career.

Is data science a technical job?

Data science is like a blanket term. Therefore, we can mention that it is about several tech concepts that include big data, artificial intelligence and machine learning.

What is data science example?

  • Identification of diseases
  • Prediction of diseases
  • Detection of frauds
  • Automation of digital ads
  • Recommendations related to healthcare

Where do data scientists work?

There are a number of employment opportunities for professionals in data science. Thus, here are some of the many areas where they can find employment.

  • Design services
  • Computer systems
  • Government/Private Sectors
  • In Research and development
  • Software publishers
  • Universities and colleges

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