LIVE TRAINING
SAVE THE DATE: 20th JANUARY 2022
Hands-on Live Traning with Matt Harrison., a Standford University course instructor and author of several python books including Illustrate Guide to Python 3, Learning the Pandas Library, and Machine Learning Pocket Reference.
LIVE TRAINING: Introduction to PYTHON for Programming
October 12th @12 PM EST
Price: $147
Regular price $210, discounted 10%
4 hour immersive session
Hands-on training with Q&A
Recording available on-demand
Certification of Completion
30% Discount Ends in:
Subscribe and get an additional 10% to 35% off ALL live training session
Pricing: $189
Regular price $210, discounted 10%
4 hour immersive session
Hands-on training with Q&A
Recording available on-demand
Certification of Completion
10% Discount Ends Friday:
Subscribe and get an additional 10% to 35% off ALL live training session
Meet Your Instructor
Matt Harrison
CS Stanford grad Matt Harrison has been working with Python and data since 2000. He has worked at many amazing companies, created cool products, wrote a couple of books, and taught thousands of Python and Data Science.
Currently, Matt is highly sought after as a and instructor and conducts corporate training through his company Metasnake, which provides consulting services and teaches corporations how to be effective with Python and data science.
He is the author of Machine Learning Pocket Reference, and the best-selling book Illustrated Guide to Python 3, Learning the Pandas Library, as well as other books. Additionally, he teaches a course titled “Data Analysis with Python” at Standford University.
Course Overview
What’s the plan?
Pandas can be tricky, and there is a lot of bad advice floating around. This talk will cut through some of the biggest issues I’ve seen with Pandas code after working with the library for a while and writing two books on it.
By undertaking this course, you will be able to understand the benefits of using the correct types, write pandas code that is fit for EDA but also deployment and master the best practices to be more efficient.
Course Outline
What’s the plan?
Matt Harrison has been working with Python and data since 2000. He has a computer science degree from Stanford. He has worked at many amazing companies, created cool products, wrote a couple books, and taught thousands Python and Data Science. Currently, he is working as a corporate trainer, author, and consultant through his company Metasnake, which provides consulting and teaches corporations how to be effective with Python and data science.
Course Overview
Python is a powerful tools that XXX
Join the live session with Matt Harrison
SAVE 10%Course Outline
Module 1:
Introduction
Introduction
Installation
Jupyter
Module 2:
Basics
Variables
Literals
Math
Getting
HelpExercise
Module 3:
Syntax, Strings, Files
Conditionals
Iteration
Strings & Unicode
Files
Exercise
Module 4:
Data Structures
Lists
Slicing
Dictionaries
Comprehensions
Exercise
Module 5:
Organizing Code
Functions & Lambdas
Modules
Classes
Exceptions
Exercise
Module 1:
Loading Data
* Loading data (40 min)
This section will focus on ingesting data and best practices for working with raw data in Pandas. * Types (40 min) We will explore the different types and their pros and cons. Looking and speed and memory performance with strings, numbers, dates, and categories.
Module 2:
Chaining and Application
*Chaining (40 min) The pandas library encourages chaining operations, yet most articles completely neglect this. We will explore how to get the most out of chaining.
* Application (40 min) Function application is another thorny topic in Pandas. In general it is slow. We will talk about the reasons why, how to speed it up, and when to use application.
Module 3:
Grouping and Aggregration
* Grouping and Aggregation (40)
One of the most powerful features of Pandas is the ability to group and pivot data. In this section we will show examples and explain how to understand and master this skill.
Key Details
DATE
TIME:
DURATION:
LEVEL:
January 20th, 2022
TIME: 12 pm EST
4 HOURS
INTERMEDIATE
Prerequisites
Familiarity with Python.
You should be familiar with some of programming experience with another language is required.
Jupyter should be installed -> Learn how
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