This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.
All of us have struggled to decipher the long list of ingredients and recommendations on our food labels. How do we leverage this important information? This course is designed to give you a deeper understanding of labeling standards, along with tips and tricks for estimating healthy portion sizes. It was created by the National Academy of Sports Medicine (NASM), which for over 30 years has built its reputation on evidence-based recommendations that adhere to rigorous scientific standards..
This course starts with the basics of data science and gradually moves towards explaining the concepts of machine learning and various data science algorithms.