[Google] Data Analytics
1.Google Data Analytics #1_What is data?
Day #1 of Google Data Analytics
2.Google Data Analytics #2_Thinking Analytically
Day #2 of Google Data Analytics
3.Google Data Analytics #3_Data Life Cycle
Google Data Analytics : Data Life Cycle
4.Google Data Analytics #4_Spreadsheet Basic
Google Data Analytics #4_Spreadsheet Basic
5.Google Data Analytics #5_SQL Basic
Google Data Analytics #5
6.Google Data Analytics #6_Effective Questioning
Google Data Analytics #6
7.Google Data Analytics #7_Data and Decision
Data vs. Metrics Data collection of raw facts Metric single, quantifiable type of data that can be used for measurement Data-Driven vs. Data-Ins
8.Google Data Analytics #8_More Spreadsheets
Google Data Analytics #8
9.Google Data Analytics #9_Data Exploration
Google Data Analytics #9
10.Google Data Analytics #10_Data Formats
Google Data Analytics #10
11.Google Data Analytics #11_Data Types
Google Data Analytics #11
12.Google Data Analytics #12_Data Credibility
Google Data Analytics #12
13.Google Data Analytics #13_Data Soruces
Google Data Analytics #13
14.Google Data Analytics #14_Clean Data
Clean Data Data Integrity : the accuracy, completeness, consistency, and trustworthiness of data throughout its lifecycle Data Replication : the pro
15.Google Data Analytics #15_Sample & Statistic
Sample Size a part of population that is representative of the population ex. when you have to use data that is just way too broad the goal is to ge