How to Become a Data Scientist

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This complete guide will help you on how to become a data scientist.

In fact, these days Data Scientists are in great demand. Do you want to know how to become a data scientist?.

Of course, this ultimate guide will help you to learn more things about this profession.

Before that, let’s try to learn these following things.

What is a Data Scientist?.

Data science is an often confusing field. In fact, it is a profession that has a constant struggle.

In reality, as a data scientist, you need to have a good knowledge of mathematics and statistics.

To clarify, you have to gather and analyze large forms of data. In fact, the data may be structured and unstructured.

Indeed, you have to provide plans for the company to grow. So, It will be a great plus if you have business analytical skills.


How to become a data scientist?.

There are certain steps to follow to pursue this career.

  • Pursue a degree in data science.
  • Of course, learn the required skills.
  • Start building projects.
  • Network and apply for jobs.

Pursue a data science degree

In fact, without education, it is very hard for anyone to get this job. However, a degree will always increase your chances to get a job.

For example, if you have a bachelor’s degree you can apply for entry-level jobs. Additionally, try to improve your skills with the help of short courses and boot camps.

Here you can see some of the top data science degree’s.

University Name Duration
Syracuse University 18 months
Southern Methodist University 20 months
University of Denver 18 months
University of California, Berkeley 12 months

Learn the required skills

Indeed, you need to have knowledge of mathematics and statistics. Furthermore, programming language knowledge is required to get this job.

Learn programming concepts and solve data science problems. In fact, this job is all about being able to solve problems.

Start building projects

Start building projects and learn new concepts. So, you can understand the real-world problems too.

Use Dataquest to learn the basics in data science. As a data scientist, you have to build a portfolio because it will help you to stand out from others.

Network and apply for jobs

Indeed, networking is always important for any filed. Share your work with the employers, use Github to share your work.

Of course, once you have gained knowledge then start applying for entry-level jobs. Moreover, you have a chance to improve your skills to become a senior with the help of entry-level jobs.

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Data Scientist job description

Here you can see some of the common duties and also responsibilities of a data scientist.

  • Collect and analyze results.
  • Gather data for business uses.
  • Of course, create and build new frameworks.
  • Prepare reports and presentations for customers.
  • Cleaning and verifying the data for analysis.
  • Collaborate with the team.

Requirements and Responsibilities

Bachelor’s or Master’s degree in data science or related field.

Strong knowledge in programming languages and databases.

Proficiency in data science tool kits and visualization tools.

Communication and presentation skills.

Of course, good analytical and business mindset.

Excellent knowledge in data mining techniques.

Note: So, these are the most common job description and requirements. In fact, they may vary depending on the company.

Data Scientist salary

Indeed, the salary for any job depends on experience, education, and location. So, from our research, the entry-level data scientist can earn up to $90,000 per year.

Average data scientist salary is $118,000 per year.

Average senior data scientist salary is $147,000 per year.

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Courses

You can also become a data scientist by taking online courses. There are number of courses offered online for data science.

Data science is using almost in every business. So, choose a platform wisely to learn data science.

However, from our research, you can see the top data science courses.

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Future

To sum up, the demand for data scientists is high. In fact, the data science field is an evolving area. Indeed, this career is always challenging. So, you have to update yourself with the latest trends and updates in the field.

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