Slide 1

Process Flow of Data Analysis

• Objectives
• Clean data
• Collect data
• Apply Data Visualization
• Interpret Analytical Methods

Slide 2

可视化—Data Visualization

Advantages:

• 直观形象

Types：

• Table/report
• Graph/Chart
• Cube
• Dashboard
• © 2020 iData Global

Slide 3

可视化—Data Visualization

黄金定律：

1. 数字准确
2. 图形简单
3. 充分利用空间
4. Options: Line, Area Chart, etc.

可视化—Data Visualization

Slide 5

Three Big software groups:

• Manually create graph: Excel
• Programming: SAS programming, Python programming, R programming
• Drag and drop: current mainstream of Analytics and Business intelligence platform (ABI)

Three Big software groups:

• Excels: Office Calculation, report: pivot table, Chart
• Disadvantage : No free, Small dataset, heavy manual works, NOT Quick Decision Making

Slide 7

Three Big software groups: Programming

1. SAS: Base, sas/graph
2. Python: matplotlib, seaborn, plotly
3. R: R base, ggplot2, plotly

Three Big software groups: Drag and drop

1. Power bi
2. Tableau
3. Qlik

Gartner names 12 mandatory and common features of such a platform.

• Data visualization
• Governance
• Reporting
• Analytics Catalog
• Data preparation
• Data science integration
• Automated insights
• Metrics layer
• Data storytelling
• Natural language query (NLQ)
• Collaboration
• Composability

This year’s Leaders are:

• Microsoft
• Salesforce (Tableau)
• Oracle
• ThoughtSpot
• Google
• Qlik

• (1)  Leading Data Visualization Tool
• (2) Apply in small, medium, large companies
• (3) Drag and Drop, few programming
• Tableau public : Free
• Tableau desktop: 14 days free trial

Our training courses:

• (1) exchange various data
• (2) basic workview design
• (3) Advanced workview design
• (4) Advanced application of Tableau in BI
• (5) dashboard design
• (6) Tell Stories
• (7) Real projects: retail sale; customer service
• (8) Resume and interview

Leading BI Tool by Microsoft

• a cloud-based business intelligence service
• user-friendly tool offering impressive drag-and-drop features and self-service capabilities
• Affordability: free desktop version; $9.99 per month for cloud service
• Custom Visualizations: chart, map, R script, Python

Our courses:

• (1) exchange data
• (2) Shape data with power queries
• (3) Create Data Model
• (4) Basic visualization types
• (5) Advanced types: maps , Gauge, etc
• (6) R script
• (7) real project/ resume/interview

Contact Details

• For Questions or Inquiries
• WeChat:
• Email: idataglobal.info@gmail.com