Follow the follow-up study of smoke big Data visualization-echarts from getting started to hands-on combat
Course View Address: http://www.xuetuwuyou.com/course/180
The course out of self-study, worry-free network: http://www.xuetuwuyou.com
Course lecturer: Wind dancing Smoke
Number of lessons: three modules, total 70 hours
First, the course features:
1, the most complete echarts course explanation
70 hours of classroom hours, 360 degrees full, no dead-angle course design, let you transparent echarts visualization technology
2, the most suitable for small white students to learn courses, not one
As long as you know a little basic html,css,javascript, combined with the lecturer's rich and professional teaching experience, easy to understand, so that you can quickly master Echarts
3, not only echarts script, more focus on the visualization
The course not only refers to the Echarts technology, but also to the visualization of the full range of interpretation (what is the visualization, visualization of best practices and misconceptions, etc.), the visualization theory and practice, the project case of the end of the finale, let the theory return to practice
4, not only to give people to fish, but also to teach people to fishing
We are not just examples of code explanations, demos, more on data structure analysis, business requirements analysis and hands-on teaching you how to read the Official document API and sample code analysis, so that you not only know, but also know the reason why
5, the use of teaching is the latest version of echarts3.x
We teach the latest version of echarts3.x, while taking into account the Echarts2.0, so that you can grasp the future trend of the technology, but also quickly apply the learning to the current work
II. Course Catalogue (three modules, total 70 sections):
Module one, big Data visualization Technology: Overview of Visualization technology and Echarts Introduction
1. Course Objectives
2. Overview of Data visualization
3. What is Data visualization?
4. Classic Visualization Cases
5. The value of Big data visualization
6. Data visualization tools, cases, books
7.Echarts Overview
8.Echarts Feature Introduction
9. How to quickly get started developing a echarts visualization chart
10. How to read Echarts official documents
Basic knowledge required for 11.Echarts learning
The difference between 12.echarts3.x and echarts2.x
13.Echarts Infrastructure and common terminology
14.Echarts Standard Development Template
15.Echarts Column chart (bar) detailed
16.01_echarts to fish and fishing configuration Item View Tips
17.Echarts stitch Diagram (Line) Detailed _ Basic configuration
18.Echarts Stitch Drawing (line) Details _ Dynamic Data display
19. The content of the custom output Data View (DataView) for the fish 02_
20. Give the person to use the 03_ of fishing to realize echarts visual configuration by using Baidu illustration
Module two, Big Data visualization technology: Echarts Chart detailed
1.04_echarts Chart standard configuration diagram techniques
2. Pie chart-Detailed _ Standard pie chart
3. Small skill 01_ The function of auxiliary line and the difference between echart3.x and 2.x
4. Small tricks 02_ automatic calculation (calculable) function realization and echart3.x and 2.x difference
5. Pie chart (PIE) Advanced _ doughnut chart
6. Pie chart (PIE) Advanced _ Nested doughnut chart
8. Scatter chart (Scatter) Advanced _ prompt information and custom axes
9. Bubble chart (Bubble) detailed
10. Radar Chart (RADAR) detailed
11. Maps (MAP) detailed
12. Funnel Chart (funnel) detailed
13. Word Cloud (Wordcloud) detailed
14. Instrument panel (Gauge) Detailed _ Basic configuration
15. Instrument panel (Gauge) Detailed _ Multi-dashboard Advanced Configuration
16. Top Ten Common Charts _ summary
Module three, Big Data visualization technology: Echarts Advanced and comprehensive case
1.Echarts Chart High-mix polyline and histogram + dual Axis 01
2.Echarts Chart High-mix polyline and histogram + dual Axis 02
3.Echarts Chart Advanced _ multi-chart linkage
4.Echarts Chart Advanced _ How to customize and dynamically switch themes
5.Echarts Chart Advanced _echarts asynchronous data loading
6.Echarts Chart Advanced _echarts asynchronous data loading and displaying loading animation progress
7.Echarts Chart Advanced _echarts data Dynamic Update
8.Echarts Charts Advanced _echarts events and behaviors overview
9.Echarts Chart Advanced _echarts Events and behaviors _ mouse event handling
10.Echarts Chart Advanced _echarts Events and behaviors _ mouse click position judgment and tips
11.Echarts Charts Advanced _echarts Events and behaviors _ Click events + asynchronously get data details
12.Echarts Chart Advanced _echarts Events and behaviors _ Dynamic chart linkage (event driven)
13.Echarts Charts Advanced _echarts Events and behaviors _ Component interaction behavior Events
14.Echarts Chart Advanced _ Summary
15. North Canton Best Top 10 Route Map _ Case Study
16. North Canton Best First 10 Sailing Roadmap _ Code Implementation 01
17. North Canton Best First 10 Sailing Roadmap _ Code Implementation 02
18. North Canton Best First 10 Sailing Roadmap _ Code Implementation 03
19. North Canton Best First 10 Sailing Roadmap _ Code Implementation 04
20. North-Canton Best Top 10 route Map _ reconstruction realizes data dynamic abnormal loading _ thought analysis
21. North Canton Best Top 10 Sailing Roadmap _ refactoring to implement data dynamic exception loading _ Code implementation
22. The latest aggressively film rankings analysis _ Case study
23. Watercress latest aggressively movie ranking analysis _ Watercress API Introduction & Case Thinking Analysis
24. Watercress latest aggressively movie rankings analysis _ Framework code implementation
25. The latest aggressively movie ranking analysis _ Implement asynchronous cross-domain fetch data and cache locally
26. The latest aggressively film rankings analysis _ three types of graphics stacking techniques to achieve
27. The latest aggressively film rankings analysis _ movie poster display function realization
28. The latest aggressively film rankings analysis _ Click to view the movie details
29. Overview of the chart application scenario
30. Chart applicable Scene _ histogram, bar chart, stitches, pie chart
31. Chart applicable scene map, radar, funnel, word cloud, scatter plot, double axis diagram
32. Data Visualization Methods
33. Data visualization Error
34. Course Summary
Third, the course for the crowd:
1. An on-the-job IT staff interested in learning data visualization tools
2. Front-end developers who need to use echarts for data presentation at work
3. Background developers who need to use Echarts for visual display in the work
4, Big data developers need to use Echarts for data display
5. Data analysts need to take advantage of more advanced and more personalized visual effects show
Iv. what can I do after studying?
1, can let you fast 0 basis to get started Echarts chart development
2, let you to echarts basic configuration, chart detailed usage, advanced skills have in-depth understanding and understanding
3. After completing this course, you will be able to use the Echarts chart combined with back-end data for front-end visualization of the report display
4, combined with background data, according to business needs to use Echarts for more advanced and more personalized visualization display
Related Courses recommended:
Tableau Business Intelligence and visualization application in action
Course Description: http://www.xuetuwuyou.com/course/179
Follow the follow-up study of smoke big Data visualization-echarts from getting started to hands-on combat
