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Pandas - Beyond the Basics training course

Become fluent and adopt best practices in the use of the pandas library for Python

JBI training course London UK

"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out." 

JL, Data Analyst, Python for Data Analytics, March 2021

 

Short Video: Python Data Analysis Training Course 

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JBI training course London UK

– Pandas and Python
-  Efficient data modelling
– Deep-dive into pandas data types
– Choosing data types when loading the data
– Data type conversions
– Best practices to improve your memory usage
– Efficient data pipelines
– Understanding immutability
– Method chaining to improve readability
– Best practices data transformation and query pipelines
– Efficient slicing and dicing
– Complex aggregations (groupby) on multiple columns
– Mastering the hierarchical (multi-level) index
– Index stacking and unstacking
– Pivoting and reshaping
– Beyond pandas

A taster video for Python Remote Training

Efficient data modelling

– Deep-dive into pandas data types
– Choosing data types when loading the data
– Data type conversions
– Best practices to improve your memory usage when dealing with larger data sets

Efficient data pipelines

– Understanding immutability
– Method chaining to improve readability
– Best practices to develop and maintain complex data transformation and query pipelines

Efficient slicing and dicing

– Complex aggregations (groupby) on multiple columns
– Mastering the hierarchical (multi-level) index
– Index stacking and unstacking
– Pivoting and reshaping


Beyond pandas – Exploring the pandas ecosystem

– Overview and examples of usage of other libraries built on top of pandas to address
specific needs in data preparation, data analysis and data visualisation

JBI training course London UK

Quants, Analysts, BI professionals, Data Scientists, Developers and Researchers who use the pandas library for data analysis, already grasp the basics of pandas and would like to take their knowledge to the next level.

This is a course best suited for “advanced beginners” or intermediate pandas users, who want to master the best practices.


4.8 out of 5 average

"I hadn't integrated Pandas with Python before joining my company. So it's very useful to consolidate my understanding of such skill via this course. The Jupyter notebooks provided will be a valuable resource for revising the materials and are really well laid out." 

JL, Data Analyst, Python for Data Analytics, March 2021

 

Short Video: Python Data Analysis Training Course 

JBI training course London UK
 
Top 20 "Pain Points" for Data Analysts
 

Problem 11 : You have a very complex Excel spreadsheet and you want to reproduce EXACTLY the same spreadsheet in Power BI
Solution: Power BI is not Excel, it works differently and it has different strengths. In order to tackle this issue the best way is going back to the source and try to...

All 20 points are in our latest Newsletter - Delivered directly to your inbox



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