Created by: Data Is Good Academy
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What you’ll learn
Learn how to read different types of file formats using Pandas.
Learn about different data analysis functions in Pandas such as Melt, merge, pivot, cross tabulation etc.
Learn about handling missing values using Pandas.
Learn and excel handling Series and DataFrames using Pandas.
Learn about Pandas Arrays.
Learn handling Time data using Pandas.
Learn about Multi Indexing using Pandas.
Learn about Indexing in Pandas.
Learn about Rolling and Expanded Window Functions in Pandas.
Learn about Pandas Styling.
Learn about Andrew Curves, Autocorrelation plot, bootstrap plot, Lag plot, parallel coordinates.
Python programming knowledge is must.
Welcome to Pandas Masterclass: Advanced Data Analysis and Visualisation with Pandas.
Pandas is a fast, flexible, easy-to-use open source data analysis and data manipulation library built on top of the python programming language.
It offers data structures and many operations for manipulating data.
Pandas allow many data manipulation operations such as merging, reshaping, cleaning, and data wrangling features.
Pandas library is widely used for data science/data analysis and machine learning tasks.
If you want to master the data analysis library-pandas then this course is perfect for you.
You will gain complete knowledge on Pandas library.
From reading datasets to analyzing them using the different manipulation functions.
Everything is included in this course.
In this course, you will cover the following topics:-
- Reading different file formats
- General functions of pandas
- Handling Series
- Handling Dataframe
- Introduction to Arrays in Pandas
- Handling time data
- Styling data frame
- Window functions
- Visualization and plotting
- Index Objects in Pandas
This course is made by keeping in mind the requirements of data analysts and data scientists while working on any project.
After completing this course you will be able to work on any data analysis project efficiently using pandas.
You will definitely love this course.
You will have access to all the resources used in this course.
Enroll now and become a pandas pro!!!
Who this course is for:
- Data Analysts
- Data Scientists
- Business Analysts
- Python Developers