Most comprehensive collection of best online machine learning courses, classes, training programs, and useful articles.
The best course for Data Science as per our experts suggestion is; Professional Certificate in data Science offered by Harvard University.
You can easily find this data science course by clicking here.
Yes, data science is without any doubt a great career offering tremendous opportunities to anyone interested. The demand for data scientists is already quite high and companies tend to offer high and competitive salaries.
It can take from 7 to 12 months on average for a person to learn data science and that too having no prior coding experience or mathematical ground. Remember, becoming an entry-level data scientist in such a little time would require intensive study and a lot of working hours. But yes, if you wish to take it slow, you can learn data science in around 18 to 24 months as well.
The answer to this question is simple;
And that is how you can start your journey to learn data science. If you want details regarding the type of skills required in data science, click here.
There are many platforms that offer learning paths regarding different occupations. The purpose of these learning paths is to help learners get into the right track. You can find the data scientist learning path here soon.
As a data scientist;
For more on data scientist key responsibilities and required skills, you can click here.
Once you have gained enough experience in this field and have developed sufficient skills by enrolling in different data science course, it is likely you’ll land a decent job in one of the domains like marketing, finance, sales, business intelligence, and data quality etc. But it all depends on the organization and the skills they require from you.
SQL is relatively easy and a good programming language to learn first. Compared to Python, some people believe it is easier to learn first.
Once you become comfortable with SQL then you can start learning Python. If you are looking for Python data science courses, click here.