| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Managing and Optimizing SD-Branch Networks
Coursera
10 hours 32 minutes
10 hours 32 minutes
|
||
|
|
Independent
2 weeks, 3-6 hours a week
2 weeks, 3-6 hours a week
|
||
|
|
Analyze Data
Coursera
20 hours 54 minutes
20 hours 54 minutes
|
||
|
|
Algebra: Elementary to Advanced - Polynomials and Roots
Coursera
9 hours 4 minutes
9 hours 4 minutes
|
||
|
|
Searching on the Internet
edX
7 weeks, 3-4 hours a week
7 weeks, 3-4 hours a week
|
||
|
|
Mathematical Modeling in the Life Sciences 生物数å¦å»ºæ¨¡
edX
10 weeks, 3-4 hours a week
10 weeks, 3-4 hours a week
|
||
|
|
Statistics for Business Analytics: Modelling and Forecasting
edX
10 weeks, 4-8 hours a week
10 weeks, 4-8 hours a week
|
||
|
|
Applied Deep Learning Capstone Project.
edX
5 weeks, 2-4 hours a week
5 weeks, 2-4 hours a week
|
||
|
|
Ordinary Differential Equations and Linear Algebra - Part 2
edX
7 weeks, 2-8 hours a week
7 weeks, 2-8 hours a week
|
||
|
|
Mathematical Methods for Data Analysis
edX
8 weeks, 6-10 hours a week
8 weeks, 6-10 hours a week
|
||
|
|
Introduction to Scientific Machine Learning
edX
16 weeks, 6-7 hours a week
16 weeks, 6-7 hours a week
|
||
|
|
Ordinary Differential Equations and Linear Algebra - Part 1
edX
7 weeks, 2-8 hours a week
7 weeks, 2-8 hours a week
|
||
|
|
Data and Visual Analytics
Udacity
2 hours
2 hours
|
||
|
|
Data Analysis with Tableau
Coursera
1 day 2 hours 4 minutes
1 day 2 hours 4 minutes
|
||
|
|
Data Mining Project
Coursera
14 hours 43 minutes
14 hours 43 minutes
|
||
|
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Introduction to Image Processing
Coursera
9 hours 10 minutes
9 hours 10 minutes
|
||
|
|
Genomic Data Science and Clustering (Bioinformatics V)
Coursera
9-10 hours
9-10 hours
|
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