Data science tips & tricks: How to use visualizations for data exploration

►► Kick-start your data science career with my mini course (free) https://misraturp.gumroad.com/l/kick-starter Using visualizations is a great way to find problems, missing values and outliers in the data. These problems are not immediately obvious and need extra care and attention to find. Let's see how we can best use visualizations for this purpose. In this video, we look into histograms and scatter plots and use Python with Jupyter Notebooks and the pandas library. This is an excerpt from Hands-on Data Science: Complete Your First Portfolio Project (previously Master the Data Science Method) course. Hands-on Data Science: Complete Your First Portfolio Project is a project course. The structure of the course follows data science project phases. As you go through the course, you learn key data science concepts and observe how a data scientist works while building a project of your own. At the end of the course, you will have a portfolio-worthy project to share with the world, already on your GitHub account, all ready to present!