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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pyspark-essentials-for-data-scientists-big-data-python/
课程评论：没有评论
课程名称：数据科学家的PySpark基础（大数据 + Python） 课程概述：本课程专为希望获得PySpark（Apache Spark的Python接口）实践培训的数据科学家或有志于成为数据科学家的学员设计。通过本课程的学习，学员将掌握实用的编码知识，能够使用真实世界的数据集进行数据分析。课程包括100多节讲座、数百个示例题和测验，以及超过100,000行代码，旨在帮助学员在课程结束时成为PySpark方面的专家。 课程内容基于讲师在为IRS、美国劳工部和美国退伍军人事务部等客户提供数据科学咨询的丰富经验设计，确保学员能够在实际工作中应用所学知识。我们将深入探讨讲师独立编写的自定义函数，快速熟悉MLlib API，并轻松开始构建机器学习模型。同时，课程中还将介绍MLflow，帮助学员管理和跟踪模型训练和评估过程，从而在职场上更具竞争力。 每个章节都包含概念回顾讲座、代码实践活动和结构化问题集，帮助学员将所学内容付诸实践，并提供解决方案以应对可能的困难。此外，课程中的每个部分都包括真实的咨询项目，配备真实数据集，促使学员应用所学概念进行思考。 最后，讲师准备了一些浓缩的复习笔记和课程内容手册，方便学员在学习完成后进行参考。这将对学员在获得首份PySpark编程工作时大有裨益。 期待在讲座中见到你！希望你享受这门课程！
This course is for data scientists (or aspiring data scientists) who want to get PRACTICAL training in PySpark (Python for Apache Spark) using REAL WORLD datasets and APPLICABLE coding knowledge that you'll use everyday as a data scientist! By enrolling in this course, you'll gain access to over 100 lectures, hundreds of example problems and quizzes and over 100,000 lines of code! I'm going to provide the essentials for what you need to know to be an expert in Pyspark by the end of this course, that I've designed based on my EXTENSIVE experience consulting as a data scientist for clients like the IRS, the US Department of Labor and United States Veterans Affairs.I've structured the lectures and coding exercises for real world application, so you can understand how PySpark is actually used on the job. We are also going to dive into my custom functions that I wrote MYSELF to get you up and running in the MLlib API fast and make getting started building machine learning models a breeze! We will also touch on MLflow which will help us manage and track our model training and evaluation process in a custom user interface that will make you even more competitive on the job market!Each section will have a concept review lecture as well as code along activities structured problem sets for you to work through to help you put what you have learned into action, as well as the solutions to each problem in case you get stuck. Additionally, real world consulting projects have been provided in every section with AUTHENTIC datasets to help you think through how to apply each of the concepts we have covered.Lastly, I've written up some condensed review notebooks and handouts of all the course content to make it super easy for you to reference later on. This will be super helpful once you land your first job programming in PySpark!I can't wait to see you in the lectures! And I really hope you enjoy the course! I'll see you in the first lecture!
