Datasets to Learn and Grow With- Start with these.
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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.

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Data Analytics 101: How Data is Stored.
Job Market Henry Osoisi Atang-Agama Job Market Henry Osoisi Atang-Agama

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.

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Non-coding Tech Skills: You Should Learn to Sketch.
Job Market Henry Osoisi Atang-Agama Job Market Henry Osoisi Atang-Agama

Non-coding Tech Skills: You Should Learn to Sketch.

In my first role as a business analyst, I suddenly discovered that I needed to understand how to sketch ideas to discuss them easily with stakeholders. They say a picture is worth a thousand words. Learning to sketch is an essential skill for becoming a great User Interface (UI) designer. A user interface (UI) is what you see when you look at a website. It includes all the buttons you can click alongside the images and text that help pass the message across. Sketching is a skill also required by business analysts and product owners who want to explore design ideas.

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