Python Data Analysis Bootcamp Class 1 - 10 - Mnemonics Recap DataSimple.education

In this class of DataSimple's Data Analysis Bootcamp we discussed how a Data Analysts job is to refine down the massive amount of information into usable insights. We talked about our smart friend in a patterned suit, with data floating around him, with a big bag of money and big ridiculos glass. We also discussed understanding the weirdest things, a Rabbit in a SpaceSuit. To Understand we start with a theory, look for anomalies, and evaluate our progress.

We discussed how randoming samples affects the diversity of our sample, how no matter how big we always have a sample. A DataFrame gives information structure transforming it into Data. We deal with numeric and categorical Data types in Data Analysis and that is important to understand the relationships in our data on a deeper level that just correlation.

We used many Mnemonic Devices to help solidify the concepts in our minds. From using illogical, unique pictures. Connecting the material to our past memories and creating stories from the points to connect them together in our mind. I discuss 3D space because that's how our minds are good at remembering physical locations. And you job is to review this material one time to ensure we lock the concepts in your mind.

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