Skills You Need for Your First Data Science Job

Data Science is one of the best career options in this data-driven world. There are a lot of technical skills required to work as a data science professional in any domain. If you are learning Data Science and are looking for your first job as a data science professional, this article is for you. In this article, I will take you through some of the most important skills you need for your first data science job.

Skills You Need for Your First Data Science Job

Data Science is a very competitive field today. To get your first job as a data science professional, you should have some skills in your skillset required by every data science professional to solve business problems with data. So below are all the skills you need to get your first data science job.

Python and its Libraries

You have the choice between Python or R for Data Science. These two programming languages are best for working with data. You can learn R later, but if a job is your priority right now, choose Python as no doubt Python and R are accepted across industries, but Python is more commonly used than R.

As a beginner in data science, if you seek your senior’s help to solve a problem, your senior may not be helpful if he is not familiar with R. So choose Python, you can learn R later if necessary. You can find all the Python libraries you need for data science here.

Databases: MySQL or MongoDB

Knowing how to work with databases is another important skill for your first data science job. If you are familiar with any of the databases like MySQL or MongoDB, this will benefit you. Many data science beginners mistakenly think they only need Python to work with data. Python is an important skill, but working with databases is as important for data science as Python.

Data Analysis Tools: Tableau or Power BI

Tableau and Power BI are amazing tools for analyzing data using data visualizations. If you know any of these tools, it will be beneficial for your career. You will get many resources on the internet explaining why Tableau is better than Power BI or why Power BI is better than Tableau. I will suggest that you explore both the applications and pick the one that you find most interactive and easy to use.

Cloud Platforms: GCP or AWS

As a data science professional, you should also know how to use cloud computing platforms as a Data Scientist. Every data science fresher needs to know cloud computing platforms like Google Cloud Platforms or Amazon Web Services. So make sure you learn any of these cloud platforms before applying for your first data science job.

Git and GitHub

Git and GitHub are essential for any IT professional. If you are a Data Science professional, it is obvious that you will work in a team. So you should learn all the fundamentals of Git and GitHub before applying for your first data science job.

Summary

So below is a list of all the important skills you need for your first data science job:

  1. Python and its libraries for data science
  2. Databases: MySQL or MongoDB
  3. Data Analysis tools: Tableau or Power BI
  4. Cloud platforms: GCP or AWS
  5. Git and Github

I hope you liked this article on some of the most important skills for your first data science job. Feel free to ask valuable questions in the comments section below.

Aman Kharwal
Aman Kharwal

I'm a writer and data scientist on a mission to educate others about the incredible power of data📈.

Articles: 1433

4 Comments

  1. Thank you for these really helpful articles. Many newbies benefit a lot from these articles and projects.
    Grateful

  2. Hey Aman, great read! I particularly enjoyed your in-depth discussion of cloud platforms, since that was something I hadn’t really thought of before. Being a fellow blogger myself, I also really appreciate how organized and well-formatted everything was – it definitely made the content much more digestible overall. Keep up the awesome work!

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