Thank you for signing up to the 30 days of learning. In this post, I will cover what you can expect during the entire period of the Data Science and Machine Learning track. But first, make sure you watch and complete the onboarding tasks at: https://aka.ms/30DLOnboardingRecap
In this track we will go from understanding the Python language to working with real life data and finally creating Machine Learning models both on Azure and in Python. The main role is understanding our data and using the knowledge to make decisions such as clustering Nigerian music based on their 'danceability' score, 'acousticness', loudness, 'speechiness', popularity and energy.
Defining Data Science and what you can do with Data. Basics of using Python for data exploration with libraries such as Pandas. Data techniques for cleaning and transforming data to handle challenges of missing, inaccurate, or incomplete data.
Visualizing discrete and grouped percentages. Visualizing connections and correlations between sets of data and their variables. Techniques and guidance for making your visualizations valuable for effective problem solving and insights.