LIVE TRAINING

SAVE THE DATE: October 12th, 2021 @12pm EST

 

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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

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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
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Pricing: $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
View Plans

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? 

By undertaking this course, you will be able to understand the object model of Python. You will familiarize yourselves with basic data structures, build functions and classes to aid in data science work.

Upon the completion of the course, you will be able to write and read Python code as well as being aware of some of the idioms that are unique to Python.

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

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Course Outline

Module 1:
Introduction

  • Introduction

  • Installation

  • Jupyter

Module 2:
Basics

  • Variables

  • Literals

  • Math

  • Getting
    Help

  • Exercise

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

Key on emojidex Key Details

DATE

TIME:

DURATION:

LEVEL:

OCTOBER 12TH, 2021

TIME: 12 PM EST, 9 AM PST

4 HOURS

BEGINNER

Prerequisites

Familiarity with Python at an beginner level.

You should be familiar with some of programming experience with another language is required.

Jupyter should be installed -> Learn how 

Upcoming Live Training

October 21st

Getting Started with Practical MLOps

Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This training takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models. Current and aspiring machine learning engineers–or anyone familiar with data science and Python–will build a foundation in MLOps tools and methods (along with AutoML and monitoring and logging), then learn how to implement them in AWS, Microsoft Azure, and Google Cloud.

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Upcoming Live Training

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Open Data Science

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