Statistics Although programming is a basic requirement for entry into this field familiarity with it without a basic knowledge of statistics is considered a waste of time because statistics is considered one of the first steps in the data analysis process. Be sure to study both descriptive and inferential statistics the former referring to quantitative measures that describe characteristics of a sample while the latter refers to predictive measures that infer characteristics of the larger population through interpretation of the sample.
In general you will need to know the basics of statistics but do not worry statistics is an interesting science and some concepts may be familiar to you and you may remember them easily because you often studied them in high school. MaBelgium WhatsApp Number Datathematics process is numbers so knowledge of mathematics is essential to be a data analyst. Initially you need to be familiar with algebra and how to formulate problems on the ground into mathematical equations that can be understood and solved. Machine learning Machine learning uses algebra and statistics to make precisely calculated predictions based on the data being processed .
As a data analyst you only need to know a few examples in the field of machine learning algorithms such as principal components analysis and neural networks. It is important to know that the data analyst does not need to know the theory of these algorithms or even the details of their work but he must know the pros and cons of these examples as well as when he should or should not use them in analyzing data.
發表於 2024-3-12 13:14:40
