What are the skills required to become a Data Scientist?

Let me break the truth to you. Data Scientist might be the sexiest job of the 21st century, but it's not everybody's cup of tea.

I don't mean to be discouraging, but I have seen a lot graduates looking to make a career in data science, just because it's one of the highly paid jobs.

These are the three things that you should consider, if you're aspiring to be a data scientist-

  1. You need to love coding,
  2. Numbers and patterns should intrigue you, and not make you anxious.
  3. Algorithms should cheer you up, instead of numbing you down.

Question yourself, and if the answers to all the above questions is ‘YES'. I can tell you are going to make a great career in data science.

What essential skills are required for becoming a data scientist?

A data scientist is required to do the following task-

  1. Extract and clean data (using R/Python)
  2. Analyse data using statistics
  3. Present data using tools like Tableau
  4. Build predictive models using machine learning algorithms

Depending on your experience and your skills, you can be required to do one or all of the above tasks. Plus, of course, your salary varies according to the responsibilities you are assigned. If you‘re doing all of the above tasks, you, are obviously paid the most. But, get your hopes high, as beginner you are mostly required to extract data, clean it, and analyse it. While you gradually learn other things.

From the industry perspective you need to have the following skills, to make a career in data science-

  1. You should know R, Python.
  2. Statistical analysis
  3. Machine learning algorithms like Linear Regression, Logistical Regression, etc

In addition to these, if you learn to use tools like Rapid Miner, Tableau, etc getting a job is easier.

Once you have learnt the skills, the next thing I would advise you to do is to work on projects and build your portfolio. The reason I am asking you to do this is because--companies are hesitant to allow access to their data to freshers.

You can use platforms like Kaggle to work on projects. If you possible, I would recommend you to do an internship.

Here's an answer I wrote recently on where you can find internships in data science. But before you begin to look for internships make sure you have to the above skills.

All in all, I would recommend you to follow this simple aproach-

  1. Learn R, Python, statistics
  2. Work on a few projects and do an internship
  3. Get hired as a data scientist

Since you're yet to start, I would recommend you to use edwisor. This platform follows a project-based learning model where you can learn R, Python, Statistics, and machine learning, while working on projects. So give it a try!

Plus, edwisor helps aspiring data scientists to get hired in product-based companies.

Note: Getting a job as a data scientist isn't tough. You just need the right skills and structured approach to get a job. Follow it and you will have a job sooner than you think.

Best of luck!

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