A brief episode on Relational Data, Data Visualization, and Exploration. A need to understand the relationship between tables in a dataset for the purpose of proper data wrangling. --- Send in a voice message: https://anchor.fm/joshhiverse/message

A look into data collection through webscrapping, using beautifulsoup and requests libraries in python. --- Send in a voice message: https://anchor.fm/joshhiverse/message

Here we have a look at Algorithms, Pseudocode, Time Complexity and Bubble Sort. --- Send in a voice message: https://anchor.fm/joshhiverse/message

While we gather momentum to learn some core python coding concepts; This episode albeit short seeks to clarify the need for python standalone files and to show the difference between Scripts and Modules in python. Let me know your thoughts about this episode. --- Send in a voice message: https://anchor.fm/joshhiverse/message

In this episode I bring the series on Collection Types to an end by discussing Tuples and Sets. I also talked about their importance and how to utilize them. Enjoy! --- Send in a voice message: https://anchor.fm/joshhiverse/message

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!. --- Send in a voice message: https://anchor.fm/joshhiverse/message

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! --- Send in a voice message: https://anchor.fm/joshhiverse/message

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. --- Send in a voice message: https://anchor.fm/joshhiverse/message

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. --- Send in a voice message: https://anchor.fm/joshhiverse/message

In this episode I discussed the significance of Python in the Data Science journey and what to look out for. Enjoy the episode and endeavor to carry out personal studies. Practice! Practice !! Practice!!! --- Send in a voice message: https://anchor.fm/joshhiverse/message

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. --- Send in a voice message: https://anchor.fm/joshhiverse/message

Statistical insights are easily obtained via Distribution plots. Listen to find out more. --- Send in a voice message: https://anchor.fm/joshhiverse/message

A quick look at the various composition plot types and how to use them to communicate data insights effectively. Enjoy! --- Send in a voice message: https://anchor.fm/joshhiverse/message

Discussion on how to utilize Relation Plots for visualization. --- Send in a voice message: https://anchor.fm/joshhiverse/message

An elementary look into the application of comparison plots. --- Send in a voice message: https://anchor.fm/joshhiverse/message

A dive into Design practices and what makes a good visualization. Also discussed the different kinds of plots and where to suitably apply them. The next episode will entail a deeper dive, so stay tuned and geared up! --- Send in a voice message: https://anchor.fm/joshhiverse/message

We discuss more on the Linear and Logistics regression and how they are essential in machine learning.

This episode introduces you to what machine learning is and the process involved.

This episode is a continuation to the previous episode, but covers more on inferential statistics; hypothesis testing. Enjoy and research more.