DeepLearning.AI
Data Analytics Foundations
DeepLearning.AI

Data Analytics Foundations

Sean Barnes

位教师:Sean Barnes

24,275 人已注册

深入了解一个主题并学习基础知识。
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深入了解一个主题并学习基础知识。
4.7

(153 条评论)

初级 等级

推荐体验

灵活的计划
3 周 在 10 小时 一周
自行安排学习进度
98%
大多数学生喜欢此课程

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作业

24 项作业

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累 Data Analysis 领域的专业知识

本课程是 DeepLearning.AI Data Analytics 专业证书 专项课程的一部分
在注册此课程时,您还会同时注册此专业证书。
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该课程共有4个模块

This module introduces key concepts in data analytics, focusing on data types, formats, roles, and the ecosystem surrounding data. It explores various data representations, differentiates between types of data, and introduces common data file formats. Additionally, it delves into the responsibilities of different data roles and career opportunities in the field. The module also covers the strengths and weaknesses of large language models (LLMs) and their applications in data analytics.

涵盖的内容

20个视频7篇阅读材料7个作业1个非评分实验室

This module provides a practical guide to using spreadsheets effectively, both in everyday life and in a business context. It covers the foundational skills needed to operate spreadsheets, particularly Google Sheets. You will explore various use cases, learn how to address different business problems with specific data types, and gain hands-on experience with essential spreadsheet tasks. It also includes a comparison of file types and their connection to structured and unstructured data, as well as techniques for organizing and analyzing data within spreadsheets.

涵盖的内容

19个视频11篇阅读材料5个作业1个非评分实验室

This module delves into the art of data visualization, a crucial skill for data analysts to effectively communicate insights and drive decision-making. You will learn the role of visualizations in data storytelling, explore various graph and chart types, and develop the ability to create and interpret visual data representations. The module emphasizes best practices for selecting the most appropriate visualization for different analyses. You will also look at using LLMs to help interpret and create data visualizations.

涵盖的内容

17个视频7篇阅读材料6个作业1个非评分实验室

This module provides a detailed exploration of the data analysis lifecycle, emphasizing the systematic approach required to turn raw data into actionable insights. You will learn about each stage of the lifecycle—from defining the problem to evaluating the effectiveness of decisions—and how to gather business context and stakeholder requirements to refine business questions. The module also covers the process of determining the appropriate type of analysis, the impact of domain knowledge, and tools like the Rumsfeld Matrix to ensure comprehensive analysis and decision-making.

涵盖的内容

14个视频9篇阅读材料6个作业1个非评分实验室

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位教师

授课教师评分
4.9 (69个评价)
Sean Barnes
DeepLearning.AI
5 门课程34,078 名学生

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