Data analysis is an applied science, which is why in each section, you’ll stop and practice what you learn in dedicated skill challenges, followed by detailed solutions where we often consider and compare alternative solutions.
Data analysis is one of the most in-demand skill across all industries and an increasing number of roles. And python is increasingly the language of choice.
Pandas is the wonderful open-source library that is the embodiment of those trends: based on the python programming language, pandas is the de facto data analysis library in the python data science community.
––––– Structure & Curriculum –––––
Over more than 31 hours, we'll cover everything that pandas has to offer, from manipulating series and dataframes, to merging datasets, handling time series, aggregations, filtering, sorting and much more!
The first four sections of the bootcamp constitute the core curriculum. You'll get acquainted with series and dataframes and develop an in-depth understanding of pandas data structures.
· Series at a Glance
· Series Methods and Handling
· Introducing DataFrames
· DataFrames More In Depth
In the next eight sections, you will dive into more advanced topics and take your pandas skills to another level, learning how to work with multiple datasets, manipulate time series, visualize data, write custom functions to transform data and much more.
· Working With Multiple DataFrames
· Going MultiDimensional
· GroupBy And Aggregates
· Reshaping With Pivots
· Working With Dates And Time
· Regular Expressions And Text Manipulation
· Visualizing Data
· Data Formats And I/O
Pandas and python go hand-in-hand which is why this bootcamp also includes a full-length introduction to the python programming language, to get you up and running writing pythonic code in no time.
This is the ultimate course on one of the most-valuable skills today. I hope you commit to mastering data analysis with pandas.
See you inside!
Data analysis is one of the most in-demand skill across all industries and an increasing number of roles. And python is increasingly the language of choice.
Pandas is the wonderful open-source library that is the embodiment of those trends: based on the python programming language, pandas is the de facto data analysis library in the python data science community.
––––– Structure & Curriculum –––––
Over more than 31 hours, we'll cover everything that pandas has to offer, from manipulating series and dataframes, to merging datasets, handling time series, aggregations, filtering, sorting and much more!
The first four sections of the bootcamp constitute the core curriculum. You'll get acquainted with series and dataframes and develop an in-depth understanding of pandas data structures.
· Series at a Glance
· Series Methods and Handling
· Introducing DataFrames
· DataFrames More In Depth
In the next eight sections, you will dive into more advanced topics and take your pandas skills to another level, learning how to work with multiple datasets, manipulate time series, visualize data, write custom functions to transform data and much more.
· Working With Multiple DataFrames
· Going MultiDimensional
· GroupBy And Aggregates
· Reshaping With Pivots
· Working With Dates And Time
· Regular Expressions And Text Manipulation
· Visualizing Data
· Data Formats And I/O
Pandas and python go hand-in-hand which is why this bootcamp also includes a full-length introduction to the python programming language, to get you up and running writing pythonic code in no time.
This is the ultimate course on one of the most-valuable skills today. I hope you commit to mastering data analysis with pandas.
See you inside!
Who this course is for:
- Anyone looking to deeply understand and master pandas
- Anyone interested in mastering data analysis with python