What is Data Science

When you start with a hypothesis and then tries to prove or disprove that with data and evidence you find.

When you start with a hypothesis or problem and then tries to prove or disprove that with data and evidence you find.

We have a data set and want to find new insights from that data.

To translate the ambiguous problem into a well-defined problem. And Identify business priorities & strategy decisions that will influence your work

Examine Data at High-Level: - Understand every column; Identify errors, missing values & corrupt records. Clean the data: - Throw away, replace, and or filter corrupt/faulty and missing values.

In-Depth Analysis Create a predictive model: Evaluate and Refine Model - Perhaps return to step of exploring, examining and cleaning the data

Data Science is an application of scientific methods and principles to data processing. - Henrik Strøm

First of all, make sure you are asking a relevant question. Put your question is put into a relevant context Ask if the question can be answered with the resources you have

Identify available datasets and then extracting to a usable format. e.g .csv

Play around with the data: - Split, segment and plot data in different ways. Identify patterns and Extract features: - Use statistics to identify & test significant variables.

Identify Business Insights - Return back to the business problem Visualize your findings -Keep it simple and priority-driven Tell a clear and actionable story Effectively communicate to non-technical audiences