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I. Foundations of Data Analytics
Welcome
Syllabus
I. Foundations of Data Analytics
Introduction to Data Analytics
1
The Power and Purpose of Data Analytics
2
Understanding Decision Intelligence and Data Specializations
3
Origins of the Data Analysis Process
4
Understanding the Data Ecosystem and Common Misconceptions in Data Analytics
5
Data-Driven Decision-Making (DDDM)
6
The Five Essential Analytical Skills of a Data Analyst
7
The Five Key Aspects of Analytical Thinking
8
Asking the Right Questions in Data Analysis
9
Case Studies: The Power of Data-Driven Decision-Making
10
Glossary
Foundations of Data
11
The Data Life Cycle
12
The Data Life Cycle
13
Tools of the Trade: Essential Tools for Data Analysts
14
Glossary
Data Analytics Toolbox
15
SQL : The Sequel
16
SQL Operations
17
Data Visualization
18
Assessment – Spreadsheet, SQL, and Visualization Concepts
Fair Data Professional
19
The Job of a Data Analyst
20
Business Tasks and Data-Driven Decision-Making
21
Fairness in Data Analytics
22
Consider Fairness
23
Data Ethics
24
Data Analyst Roles and Job Descriptions
25
Assessment— Fairness & Business Tasks
I. Identify Problems and Ask Questions
Ask Effective Questions
26
Understanding Problem Types in Data Analysis
27
Applying the Six Common Problem Types
28
Asking Effective and SMART Questions
29
Glossary – Asking Effective and SMART Questions
30
Assessment — SMART Questions and Problem Types
Make Data-driven Decisions
31
Data Trials and Triumphs
32
Qualitative and Quantitative Data in Business
33
Communicating Data Effectively: Reports and Dashboards
34
Understanding Metrics: Turning Data into Meaningful Insights
35
Tools for Visualizing Data
36
Design Compelling Dashboards
37
Mathematical Thinking in Data Analysis
38
Big and Small Data
39
Glossary
40
Assessment — Algorithms, Data Types, Metrics, and Visualization Tools
Spreadsheets
41
Introduction to Spreadsheets in Data Analysis
42
Spreadsheets and the Data Life Cycle
43
Learn More About Spreadsheet Basics
44
Common Spreadsheet Errors and How to Fix Them
45
Avoiding and Fixing Spreadsheet Errors
46
Quick Reference: Functions in Spreadsheets
47
Glossary of Spreadsheet Terms
48
Assessment — Spreadsheet Basics and Structured Thinking
Needs of Stakeholder
49
Working with Stakeholders
References
I. Foundations of Data Analytics
Syllabus
1
The Power and Purpose of Data Analytics