All Data Science Tools You Should Know

There are many tools Data Science professionals use daily to solve business problems with data. To become a Data Science professional, you need to learn all the necessary tools. So, if you want to know about the tools and software you should learn to get your first Data Science job, this article is for you. In this article, I will take you through all the Data Science tools you should know to become a Data Science professional.

All Data Science Tools You Should Know

Below are all the tools you should learn to get your first Data Science job. I have also mentioned links for learning and exploring all the tools step by step.

Databases

A database is an organized collection of structured data. Businesses use databases to access and manage all their data on one platform. As a Data Scientist, you should know how to work with databases. Below are the databases you should explore and learn for Data Science:

  1. MySql
  2. MongoDB

You can learn any of the databases mentioned above.

Data Analysis Tools

Data Analysis tools help explore and analyze data. As a beginner in the data field, you learn spreadsheets like Microsoft Excel or Google Sheets which are valuable data analysis tools for your career as a Data Scientist. In addition to spreadsheets, you also need to learn more data analysis tools. So, below are all the data analysis tools you need to learn:

  1. Microsoft Excel or Google Sheets
  2. Tableau or Power BI

Programming Language

The next and the most valuable tool for Data Science is a programming language. Data Science professionals prefer Python or R because of the support of data science libraries in both programming languages. I prefer Python over R as I find it easy. Below are some resources to learn Python or R:

  1. Python Roadmap with learning resources
  2. R Programming Tutorial

Python Libraries

As I mentioned above, Python and R both are preferred by Data Science professionals because of the support of data science libraries in these languages. So if you are choosing Python, you need to learn Python libraries for data science after learning the fundamentals of Python. Below are all the Python libraries you need to learn for Data Science:

  1. NumPy
  2. Pandas
  3. Matplotlib 
  4. Plotly
  5. Scikit-learn
  6. Tensorflow

If you want to choose R for Data Science, you can find all the libraries you need to learn here.

Code Editors

While learning Python, you will explore a lot of code editors and IDE. Below are some code editors preferred by Data Science professionals in the industry:

  1. Google Colab
  2. Jupyter Notebook
  3. VS Code

Other Tools

Some other valuable data science tools that you need to explore to perform your Data Science job are:

  1. GitHub
  2. Google Cloud Platform
  3. AWS

Summary

To become a Data Science professional, you need to learn all the necessary Data Science tools. The time you will spend learning these tools will always help you in your career. I hope you liked this article on all the Data Science tools you should know for Data Science. Feel free to ask valuable questions in the comments section below.

Aman Kharwal
Aman Kharwal

Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder

Articles: 1334

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