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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dataanalyticscolab/
课程评论：没有评论
课程名称：使用 Google CoLab 的数据分析：初学者课程 课程概述：本课程涵盖了多个行业的数据分析实例，旨在帮助学生了解如何在职业生涯中运用数据分析，成为数据分析师。课程的一大亮点是学生将获得动手实践的机会，亲自创建分析数据模型。课程分为四个模块： 第一模块：教授 Python 编程，包括详细讲解 Pandas、Numpy 和 Scipy 等库的应用。 第二模块：介绍商业统计学，深入学习描述统计、推断统计和预测统计，并通过 Python 实现相关统计模块的应用。 第三模块：引入机器学习内容，学习线性回归和逻辑回归、普通最小二乘法、奇异值分解（SVD）和主成分分析（PCA）等，用于数据降维。 第四模块：着重于项目的实施，包括数据发现、探索性数据分析、模型构建和结果分析四个阶段的实践。 此外，课程最后还将进行一次免费的演示，内容为“从头开始构建电影推荐系统”在 Google CoLab 上进行。 这门课程为初学者提供了全面的知识和实践，使他们能够在数据分析领域迈出重要的一步。
In this course we have examples of analytics in a wide variety of industries, and we expect that students will learn how you can use data analytics in their career and become data analyst. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics data models. The course has four module first module give learner knowledge about python programming which include packages like Pandas, Numpy and Scipy are being taught in detail, second module introduces Business Statistics where students will get in depth knowledge of Descriptive Statistics, Inferential Statistics and Predictive Statistics along with their example in python i.e. how to implement all statistical modules in python, third module introduces to machine learning in which you will be introduced with Linear and Logistic Regression , Ordinary Least Squares, SVD and PCA for reducing dimensions of the data and the fourth module dedicated to implementation of learned ideas in projects where you were taught to work on data through four phases Data Discovery, Exploratory Data Analysis ,Model Building and result analysis. This is not an end you will going to have a free demo on "Building Movie Recommendation system from scratch" in Google CoLab.
