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Pandas For Data Analysis Training - New Zealand

Key points about this course


Duration: 2 Days*

Support: 24/7

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  • Learn how to install pandas and run test suites.
  • Get an understanding of how to work with text data, missing data, and categorical data.
  • Learn how to store pandas DataFrame objects in Apache Parquet format.

Available delivery methods for this course

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With an incredibly easy to use interface, our chosen platform has been designed to make learning online simple and enjoyable. It’s amazing video & audio quality means you won’t miss a thing.

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Works on all devices

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Revisit what you’ve learnt at any time.
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See your trainer’s screen

Your instructor can share their screen at any time to demonstrate what they’re teaching.
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Share documents

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Trainers can draw on and share their whiteboard with the class at any time.
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Key points about this course


Duration: 2 Days*

Support: 24/7

View dates & prices

Find out more

Please enter Name
Please enter valid Email
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The information you provide shall be processed by The Knowledge Academy – a professional training company. Your data shall be used by a member of staff to contact you regarding your enquiry. View privacy policy

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Pandas For Data Analysis Training Dates & Prices

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Thu 23rd Apr 2020
Places available
$4695
Thu 21st May 2020
Places available
$4695
Hamilton City
Thu 28th May 2020
Places available
$5595
Auckland
Thu 28th May 2020
Places available
$5195
Wellington
Thu 28th May 2020
Places available
$5195
Christchurch
Thu 28th May 2020
Places available
$5595
Thu 18th Jun 2020
Places available
$4695
Thu 16th Jul 2020
Places available
$4695
Hamilton City
Thu 23rd Jul 2020
Places available
$5595
Auckland
Thu 23rd Jul 2020
Places available
$5195
Wellington
Thu 23rd Jul 2020
Places available
$5195
Christchurch
Thu 23rd Jul 2020
Places available
$5595
Thu 20th Aug 2020
Places available
$4695
Thu 17th Sep 2020
Places available
$4695
Hamilton City
Thu 24th Sep 2020
Places available
$5595
Auckland
Thu 24th Sep 2020
Places available
$5195
Wellington
Thu 24th Sep 2020
Places available
$5195
Christchurch
Thu 24th Sep 2020
Places available
$5595
Thu 15th Oct 2020
Places available
$4695
Thu 19th Nov 2020
Places available
$4695
Christchurch
Thu 26th Nov 2020
Places available
$5595
Hamilton City
Thu 26th Nov 2020
Places available
$5595
Auckland
Thu 26th Nov 2020
Places available
$5195
Wellington
Thu 26th Nov 2020
Places available
$5195
Thu 17th Dec 2020
Places available
$4695

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Key points about this course


Duration: 2 Days*

Support: 24/7


Course Information

Pandas for Data Analysis Training Course Overview

Pandas is an open-source python library that provides high-performance, data analysis and data structures tool for the Python programming language. Python with pandas can be used in numerous fields, such as statistics, economics, and analytics. This course is designed to provide knowledge of how to quickly and easily analyse data with Python’s powerful library- pandas.

In this 2-day course, delegates will gain comprehensive knowledge of pandas and data structures. Delegates will learn how to work with text data, missing data, and categorical data. In addition, they will get an understanding of merge, join, concatenate, reshaping and pivot tables.

During this course, delegates will become familiarised with visualisation, IDE, data validation, and extension data types. Delegates will learn how to store pandas DataFrame objects in Apache Parquet format. On completion of this course, delegates will get an understanding of various themes in pandas.

Pandas for Data Analysis Training Course Outline

The pandas: A Python Data Analysis Toolkit is a two-day course. The following is a brief synopsis of the topics that will be covered in this course.

Introduction and Installation

  • Define pandas
  • Installing pandas
  • Running Test Suite
  • Dependencies

Getting Started with pandas

  • Package Overview
  • Exploring panda
  • Essential Basic Functionality
  • Introduction to Data Structures
  • Comparison with Other Tools

User Guide

  • IO Tools
  • Indexing and Selecting Data
  • MultiIndex/Advanced Indexing
  • Merge, Join, and Concatenate
  • Reshaping and Pivot Tables
  • Working with Text Data, Missing Data, and Categorical Data
  • Nullable Integer Data Type
  • Visualisations
  • Computational Tools
  • Group By: Split-Apply-Combine
  • Time Series and Time Deltas
  • Stylings
  • Options and Settings
  • Enhancing Performance
  • Sparse Data Structures

pandas Ecosystem

  • Statistics and Machine Learning
  • Visualisation
  • IDE
  • Data Validation
  • Extension Data Types

Development Phase

  • Contributing to pandas
  • Internals
  • Extending pandas
  • Storing pandas DataFrame Objects in Apache Parquet Format
  • Themes in pandas Development

Prerequisites

There are no prerequisites to attend this course. However, a basic knowledge of programming would be beneficial.

Audience

Anyone wishes to develop their knowledge and skillset on python libraries can attend this course. This course is beneficial for those who want to make a career in data science and data analytics.

Please arrive at the venue at 8:45am.
There are no prerequisites to attend this course. However, a basic knowledge of programming would be beneficial.
Anyone wishes to develop their knowledge and skillset on python libraries can attend this course. This course is beneficial for those who want to make a career in data science and data analytics.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 2 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Pandas for Data Analysis Training certification in New Zealand starts from $3749
The Knowledge Academy is the Leading global training provider in the world for Pandas for Data Analysis Training.
  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

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Various delivery methods

Flexible delivery methods are available depending on your learning style.

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Resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."

Diane Gray, Shell

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