Coursera 笔记

IBM

Introduction to Data Analytics

数据分析导论

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Module 01

What is Data Analytics

0 / 14 篇
  1. 01Course Introduction
  2. 02A Quick Note for the Best Learning Experience
  3. 03Modern Data Ecosystem
  4. 04Key Players in the Data Ecosystem
  5. 05Defining Data Analysis
  6. 06Viewpoints: What is Data Analytics?
  7. 07Summary and Highlights
  8. 08Copy of Data Analytics vs. Data Analysis
  9. 09Responsibilities of a Data Analyst
  10. 10Viewpoints: Qualities and Skills to be a Data Analyst
  11. 11Generative AI: An essential Skill for today's Data Analysts
  12. 12A Day in the Life of a Data Analyst
  13. 13Viewpoints: Applications of Data Analytics
  14. 14Summary and Highlights
Module 02

The Data Ecosystem

0 / 14 篇
  1. 01Overview of the Data Analyst Ecosystem
  2. 02Types of Data
  3. 03Understanding Different Types of File Formats
  4. 04Sources of Data
  5. 05Languages for Data Professionals
  6. 06Summary and Highlights
  7. 07Overview of Data Repositories
  8. 08RDBMS
  9. 09NoSQL
  10. 10Data Marts, Data Lakes, ETL, and Data Pipelines
  11. 11Real-world applications of data warehouses, marts, and lakes
  12. 12Foundations of Big Data
  13. 13Big Data Processing Tools
  14. 14Summary and Highlights
Module 03

Gathering and Wrangling Data

0 / 9 篇
  1. 01Identifying Data for Analysis
  2. 02Data Sources
  3. 03How to Gather and Import Data
  4. 04Summary and Highlights
  5. 05What is Data Wrangling?
  6. 06Tools for Data Wrangling
  7. 07Data Cleaning
  8. 08Viewpoints: Data Preparation and Reliability
  9. 09Summary and Highlights
Module 04

Mining & Visualizing Data and Communicating Results

0 / 10 篇
  1. 01Overview of Statistical Analysis
  2. 02What is Data Mining?
  3. 03Tools for Data Mining
  4. 04Summary and Highlights
  5. 05Overview of Communicating and Sharing Data Analysis Findings
  6. 06Viewpoints: Storytelling in Data Analysis
  7. 07Introduction to Data Visualization
  8. 08Introduction to Visualization and Dashboarding Software
  9. 09Viewpoints: Visualization Tools
  10. 10Summary and Highlights
Module 05

Career Opportunities and Data Analysis in Action

0 / 13 篇
  1. 01Career Opportunities in Data Analysis
  2. 02Viewpoints: Get into Data Profession
  3. 03Viewpoints: What do Employers look for in a Data Analyst?
  4. 04The Many Paths to Data Analysis
  5. 05Viewpoints: Career Options for Data Professionals
  6. 06Viewpoints: Advice for aspiring Data Analysts
  7. 07Viewpoints: Women in Data Professions
  8. 08Generative AI for Data Analytics
  9. 09Summary and Highlights
  10. 10Final Project Submission Guidelines and Deliverables
  11. 11Using Data Analysis for Detecting Credit Card Fraud
  12. 12Congratulations and Next Steps
  13. 13Course Credits and Acknowledgements