-552x564.png "Data analysis on python")
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start analyzing data, all you need is a computer with internet - we'll be
working in Google Colab Learn how to preprocess data, build summary tables, look for relationships in data. Learn when to use graphs and when not to, and how to properly format your work. When can and when can't you apply correlation? What is the difference between categorical variables and continuous variables? The master class will be useful for absolute beginners in data analysis, novice professionals, and even people with experience. If you already know how to analyze data in Python, it will be very useful for you to watch this masterclass to strengthen your knowledge and also to correct possible mistakes. The masterclass consists solely of practical examples - we'll code everything from scratch in each video, and you'll be able to replicate the same. And also you will be able to download all the examples and all the code and use it in your work. We will be analyzing data analysis techniques on the German Credit Data dataset, which is open data about borrowers of a German bank. We will identify relationships in the data and understand why borrowers do not repay their loans. Learn to analyze data in python like a pro right now! Who this course is for: Anyone who is interested in data analysis What you will learn Analyze data with Python Google Colab Summary Tables Exploratory Data Analysis Course content 7 sections - 29 lectures - Total duration 3 hours 15 minutes
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