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Make your python learning interesting by adding a touch of data analysis to it.
What is EDA & Why should you learn it?
With the use of summary statistics and graphical representations, exploratory data analysis refers to the crucial process of doing first investigations on data in order to uncover patterns, spot anomalies, test hypotheses, and check assumptions.
It is a good idea to first understand the data and then strive to extract as many insights as possible. Before getting their hands dirty with data, EDA is all about making sense of it.
In this course you will go from installing python, anaconda & vs code to answering questions using data.
After this course you will be able to:
Read data in python
Describe the data using statistics
Impute missing values
Express behavior of a single variable/feature
Answer the reason of behavior of a single feature due to another feature
Plot Bar Plots, Scatter Plots, Line Plots
Box plots for outliers & percentiles
Learn the fundamentals of artificial intelligence with an introduction to it with some stories.
Python Programming: To understand the fundamentals of the Python programming language.
EDA with Python: It's a fundamental course that incorporates statistics, data analysis, and everything else that novices need to get started with Python and AI. This course will help you utilize your python skills that you will learn in Python fundamentals course.
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