How to Learn Data Science?
Usually, There are four areas to master data science.
- Industry Knowledge : Domain knowledge in which you are going to work is necessary like If you want to be a data scientist in Blogging domain so you have much information about blogging sector like SEOs, Keywords and serializing. It will be beneficial in your data science journey.
- Models and logics Knowledge: All machine learning systems are built on Models or algorithms, its important prerequisites to have a basic knowledge about models that are used in data science.
- Computer and programming Knowledge : Not master level programming knowledge is required in data science but some basic like variables, constants, loops, conditional statements, input/output, functions.
- Mathematics Used : It is an important part in data science. There is no such tutorial presents but you should have knowledge about the topics : mean, median, mode, variance, percentiles, distribution, probability, bayes theorem and statistical tests like hypothesis testing, Anova, chi squre, p-value.
Learn Data Science With Python
This data science with Python tutorial will help you learn the basics of Python along with different steps of data science according to the need of 2023 such as data preprocessing, data visualization, statistics, making machine learning models, and much more with the help of detailed and well-explained examples. This tutorial will help both beginners as well as some trained professionals in mastering data science with Python.