Just so, can you be a data scientist without coding?
Data Science & Machine Learning without coding skills are possible! If you‘re a newbie in machine learning and data science or just a non-technical with barely any knowledge or experience in programming, this article is for you.
Also, what is required to be a data scientist? There are three general steps to becoming a data scientist:
- Earn a bachelor’s degree in IT, computer science, math, physics, or another related field;
- Earn a master’s degree in data or related field;
- Gain experience in the field you intend to work in (ex: healthcare, physics, business).
Accordingly, does data science involve coding?
Data science is a rapidly growing industry, and advances in technology will continue to increase demand for this specialized skill. While data science does involve coding, it does not require extensive knowledge of software engineering or advanced programming.
What tools do data scientists use?
Here is the list of 14 best data science tools that most of the data scientists used.
- SAS. It is one of those data science tools which are specifically designed for statistical operations.
- Apache Spark.
- BigML.
- D3.
- MATLAB.
- Excel.
- ggplot2.
- Tableau.