Monday, January 22, 2018

Coursera Courses - Learning

Data Science
10 courses | Johns Hopkins University
Build foundational data science skills in this hands-on introduction to R, machine learning, and more.

Business Analytics
5 courses | The Wharton School of the University of Pennsylvania
Make data-driven marketing, HR, finance, and operations decisions.

Machine Learning
4 courses | University of Washington
Fit models, analyze data, and build an end-to-end practical machine learning applications.

Statistics with R
5 courses | Duke University
Perform frequentist and Bayesian statistical inference and modeling in R.

Business Foundations
6 courses | The Wharton School of the University of Pennsylvania
Develop basic literacy and skills in marketing, finance, accounting, and operations.

Introduction to Project Management - Principles and Practices
4 courses | UC Irvine
Coordinate and scope complex projects; fufill PMI education requirements.

Digital Marketing
6 courses | University of Illinois at Urbana-Champaign
Strategic planning and analytics for digital marketing channels.

Leading People and Teams
5 courses | University of Michigan
Inspire, motivate, and influence individuals and groups.

Python - Popular in Computer Science
5 courses | University of Michigan
Get a beginner-friendly introduction to programming and processing data in Python.

Java Programming and Software Engineering Fundamentals
5 courses | Duke University
Learn how to build scalable products in this introduction to software development.

Data Engineering on Google Cloud Platform
5 courses | Google
Gain practical, hands-on machine learning and big data experience.

Full Stack Web and Multiplatform Mobile App Development
5 courses | Hong Kong University of Science and Technology
Master frameworks like Bootstrap and Angular to be a versatile web developer.

3 comments:

Cylon Technologies said...
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Appslure said...
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Rajan Vishwakarma said...

I must say this is a great write on business analytics. I am learning very good things from all your blogs and I am working hard to make my blog famous
https://bit.ly/2OkJUiz
Thanks to you