Datasets to Learn and Grow With- Start with these.
Exploring datasets from diverse fields can provide invaluable insights and practical experience for those embarking on a journey into data analysis. Being comfortable working with these datasets is essential for building analytical skills as a competent data analyst.
The Pay-To-Live-In Visa Scheme: Truth or Fiction.
I know a lot of people are considering these moves as part of their career plans. If you are considering moving to any of these countries under these visa schemes, you should consider answering a few questions:
How do these incentives work?
Are they real?
How do I apply?
How long does it take?
Starting as a Software Developer (Part 1)
Python is a general-purpose language that can be used for various applications. Some common areas where Python is used include web development, scientific computing, data analysis, machine learning, and artificial intelligence.
Answered: What it Takes to Teach in the UK (International Teachers).
The Department for Education and the UK government have created the International Qualified Teacher Status (iQTS). This iQTS teaching qualification meets the same high standards as English Qualified Teacher Status (QTS), allowing you to teach in schools in the UK.
Data Analytics 101: How Data is Stored.
In data science, a field refers to a grouping topic or category containing related attributes. On the other hand, attributes are specific characteristics or properties that describe an object or an entity in a dataset. For instance, in a dataset containing employee information, the "Employee" field could include attributes such as "First Name", "Last Name", "Job Title", "Salary", and "Department". Each of these attributes provides detailed information about the employees in the dataset.