Is python and SQL enough for data science?
Comments
-
Python and SQL are two essential programming languages that are widely used in data science. Python is an all-purpose language that is great for data visualization, data cleaning, and machine learning. SQL, on the other hand, is a language used for managing and querying databases. While these two languages are very useful, they are not enough to become a proficient data scientist.
To be an effective data scientist, you need to have a solid understanding of statistics, data modelling, machine learning, and other data-related technologies. Additionally, familiarity with data visualization tools such as Tableau or PowerBI can be extremely helpful in presenting and communicating data insights. In conclusion, while Python and SQL are important languages to know in data science, they are just a starting point and there is much more to learn to become a successful data scientist.
