Make your python learning interesting by adding a touch of data analysis to it.
What you’ll learn in Free Udemy Course-
- Learn python through understanding how to answer questions with data.
- Learn how to use python and pandas to read, alter, and edit csv files.
- Learn how to use bar charts, histograms, and line plots to visualise data.
- Learn how to use box plots to discover and remove outliers and abnormalities in data.
- Learn how to analyse your data’s features using univariate and bivariate analysis.
Requirements
- No programming experience needed, goal of this course is to teach you python along with data analysis
Description
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
- Detect outliers
- Remove outliers
- 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
Also,
- 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.
Who this course is for:
- Beginner python developers curious about learning data science
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