In this episode, I discuss the importance of Dictionary data structures and their methods. Quite an interesting episode this is!. Listen, make further research and apply this in your data transformation activities. Keep learning, growing, and leading!.

In this episode, I talked in-depth about the use of Lists and their importance to Data Science. If you find this insightful, feel free to share it with your network of Data Scientists and enthusiasts. More discussions on data structures will be aired in the coming episodes. Stay tuned!

In investigating a dataset for the purpose of transformation, visualization, or even for predictive modeling, it is almost inevitable to employ loops where a process is iterative or repetitive. This episode addresses just how loops fit into the mix!. Enjoy and stay tuned for the next episode.

In Data Exploration and Transformation, the importance of logical operation and conditional statements can not be over-emphasized. In this episode, I touched on the essential points needed to grasp the basic concept surrounding these. Enjoy and watch out for the next episode on Loops.

In this episode I discussed the significance of Python in the Data Science journey and what to look out for.

Here I talked about the importance of geoplots and how to use them effectively. Also made a summary of all we have covered so far about Data Visualization and storytelling. Watch out for the next series on Python.

Statistical insights are easily obtained via Distribution plots. Listen to find out more.

A quick look at the various composition plot types and how to use them to communicate data insights effectively. Enjoy!

Discussion on how to utilize Relation Plots for visualization.

An elementary look into the application of comparison plots.