In this episode, I go over the importance of data quality, the dimensions that we measure data against, and some real-life cases where bad quality data can impact our lives.

Research mentioned in the podcast:

ttp://faculty.haas.berkeley.edu/morse/research/papers/discrim.pdf?_ga=2.164751094.872800600.1597026580-336955722.1597026580

In this episode I talk about data engineering fundamentals. I want to make sure that regardless of your technical experience, we’re all on the same page when it comes to terminology and the skill set of data engineers.

Building KPIs YouTube video: https://www.youtube.com/watch?v=tR01lHgaZes

The Data Playbook YouTube Channel: https://www.youtube.com/channel/UCVbkuiRUJyrgDNRDjpUmtwA/

- What is Prescriptive analytics?

- Why is it used?

- Where is it used?

Continuing on the Back to Basic Series, this episode will cover predictive analytics.

In a time when we wished we knew what to do before things get worse, how can predictive analytics help in settling the uncertainty. I talk about how predictive analytics is used in the real world and how we are seeing it used today with the pandemic.

Continuing on the Back to Basic Series, this episode will cover diagnostic analytics.

I’ll go over :

- what it means

- how it’s useful

- talk through a use case of it in real life.

We're going back to basics and starting with descriptive analytics? I'll cover what it means, why you need it, and how it's used in the real world.

What do you do when you don't have a $200k data scientist? It’s time to go back to the basics. In this episode, I will be talking about slowing down and not jumping on the AI bandwagon before you are ready. Walk before you run, that’s the motto.

Note

- Agile development

- Collaboration in data projects

- Creating a data village at work

Data literacy:

- what is it?

- why it’s important?

- how to get started?