Explore a range of online courses offered by Columbia University, covering various subjects from data science to humanities.

Key Takeaways:

Courses from a prestigious Ivy League institution.
Covers diverse topics and disciplines.
Suitable for all levels of learners.
Includes both free and paid options.

What online courses does Columbia University offer?

Columbia University offers a variety of online courses across disciplines like data science, business, and humanities, available on platforms like edX and Coursera.

#	Course Name	University/Organization	Ratings	Duration
1.	Economics of Money and Banking	Columbia University	★★★★★4.9	32 Hours
2.	Statistical Thinking for Data Science and Analytics	Columbia University	—	50 Hours
3.	Analytics in Python	Columbia University	—	120 Hours
4.	Introduction to Financial Engineering and Risk Management	Columbia University	★★★★★4.6	17 Hours
5.	Machine Learning for Data Science and Analytics	Columbia University	—	50 Hours
6.	Financial Engineering and Risk Management Speacialization	Columbia University	★★★★★4.5	02 Months
7.	Animation and CGI Motion	Columbia University	—	120 Hours
8.	Machine Learning	Columbia University	—	120 Hours
9.	Enabling Technologies for Data Science and Analytics: The Internet of Things	Columbia University	—	50 Hours
10.	Data, Models, and Decisions in Business Analytics	Columbia University	—	120 Hours
11.	Demand and Supply Analytics	Columbia University	—	120 Hour
12.	Construction Cost Estimating and Cost Control	Columbia University	★★★★☆4.7	19 Hours
13.	Construction Scheduling	Columbia University	★★★★☆4.8	21 Hours
14.	MOS Transistors	Columbia University	★★★★☆4.6	18 Hours
15.	Poverty & Population: How Demographics Shape Policy	Columbia University	★★★★★4.8	12 Hours

Columbia Online University Courses Evaluation & Selection Criteria

Courses were selected from Columbia University based on their academic rigor, the reputation of the faculty, and their relevance to current industry needs. We included both free and paid options to provide learners with a range of choices that suit different educational goals.

Top Columbia Online University Courses:

Economics of Money and Banking

- - Columbia University via Coursera
  - 61 hours of effort required
  - 78,293 already enrolled!
  - ★★★★★ (807 Ratings)

Economics of money and Banking

This course can be considered as an attempt to begin the process of new economic thinking. By reviving and updating all of the forgotten monetary traditions, it is expected to initiate new economic thinking in our society. You will understand the monetary system as an essential infrastructure of a decentralized market economy. Then you will be taught to use the balance sheet approach to monetary economics. Similarly, you will also understand banking as a clearing system and the role of wholesale money market in banks and more. Check out the Best SJSU Courses at takethiscourse.net platform.

Statistical Thinking for Data Science and Analytics [No more Available]

Columbia University via edX
50 hours of effort required
194,155 already enrolled!
This course is part of the Data Science for Executives Professional Certificate Program

Statistical thinking for Data science

Knowing what data science is and its fundamentals, this course can pave the statistical foundation regarding data science. You will learn how the data scientists can exercise statistical thinking in data designing collection. With that, you will also learn to derive insights from visualizing data. Similarly, how to obtain supporting evidence for data-based decisions. And then construct models for predicting future trends using that data and much more will be learned.

Analytics in Python

- - Columbia University New York via edX
  - 12 Weeks long, 8-10 Hours per week
  - 74,828 students enrolled!
  - Level: Intermediate

Analytics in python

Want to learn the fundamentals of programming in Python in the most effective manner? Take this course now and develop the ability to analyze data and make all your data-driven decisions easily. You will familiarize yourself with working with relational databases. This will be done using SQL based languages like MySQL and dealing with formatted data (XML, JSON, etc). Similarly, you will also learn to use python and become capable of working with and analyzing data from databases/web.

Introduction to Financial Engineering and Risk Management

- - Columbia University via Coursera
  - 37 hours of effort required
  - 1,837+ already enrolled!
  - ★★★★★ (1,825 Ratings)

Intro to financial engineering

The emphasis of this course will be on using simple stochastic models to price derivative securities in various asset classes. These include equities, credit, fixed income, mortgage-backed securities, and more. You will also come to know the role that some of these asset classes played during the financial crisis. With that, you will get to hear an interview with Emanuel Derman, who is a renowned quant. Thus with this course, you will be able to understand rocket science behind financial engineering.

Machine Learning for Data Science and Analytics [No more Available]

- - Columbia University via edX
  - 50 hours of effort required
  - 135,679+ already enrolled!
  - This course is part of the Data Science for Executives Professional Certificate Program

Machine learning for Data science

Learn all the principles of machine learning and the importance of algorithms at your ease and pace through this course. Starting this course, you will get an introduction to machine learning and its relation to statistics to data analysis. Next, you will understand how machine learning uses computer algorithms to search for patterns in data. Moreover, you will learn to use data patterns to help you make decisions related to data. Similarly, how you can prepare data, what to do to deal with missing data, and many other things are explained here. You can checkout open university free courses here.

Financial Engineering and Risk Management Speacialization

- - Columbia University via Coursera
  - 16 hours of effort required
  - 66,678+ already enrolled!
  - ★★★★★ (575 Ratings)

Financial Engineering and Risk Management

This course focuses on the use of simple stochastic models to do a variety of things. This includes solving portfolio optimization problems efficiently. Next, you will use the model to price derivative securities in various asset classes including equities and credit. Furthermore, you will understand some advanced applications of financial engineering which include algorithm trading and pricing of real options. You will understand the role that financial engineering plays during a financial crisis in an effective manner as well.

Animation and CGI Motion

- - Columbia University via edX
  - 120 hours of effort required
  - 34,330+ already enrolled!
  - This course is part of Artificial Intelligence (AI) MicroMaster Program

Animation and cgi Motion

Ever got curious about how lifelike animations are created using technology? If yes, then you have landed on the right page. In this course, you will learn the science behind the movie animation. This will be taught by none other than the Director of Columbia’s computer graphics group. You will learn to code your own physics simulator to master the fundamentals of algorithms.

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This will be used to create lifelike animations that include hair, clothing, liquids, and rigid bodies, etc. Similarly, you will understand the formulation of mathematical models for mechanical systems. Moreover, you will also learn the numerical methods for treating contact and impact and many other things.

Machine Learning

- - Columbia University via edX
  - 120 hours of effort required
  - 146,681+ already enrolled!
  - This course is part of Artificial Intelligence (AI) MicroMaster Program

Machine Learning

A perfect course to help you master the essentials of machine learning and all its algorithms meticulously. With this course, you will learn techniques for regression and classification at your ease and flexibility. Moreover, you will also learn unsupervised learning techniques for data modeling and analysis. Similarly, you will understand the probabilistic versus non-probabilistic viewpoints. Furthermore, what is optimization and inference algorithms for model learning will also be learned.

Machine Learning

- - Stanford University via Coursera
  - 64 hours of effort required
  - 3,256,201+ already enrolled!
  - ★★★★★ (129,908 Ratings)

Enabling Technologies for Data Science and Analytics: The Internet of Things [No more Available]

- - Columbia University via edX
  - 50 hours of effort required
  - 70,383+ already enrolled!
  - This course is part of the Data Science for Executives Professional Certificate Program

Enabling Technologies for data science

Ever thought you would be able to discover the relation between big data and the internet of things without the help of a live tutor? Well, this course has been instructed in such a thorough manner that you would easily understand the relation between the two. You will protocols, and basic software for the Internet of Things (IoT). Next, you will learn understand different networks,how automated decisions and control can be done using IoT technologies. Furthermore, you will also learn about the relation between data science and natural language and audio-visual content processing. Similarly, you will study research projects that have been drawn from online media, novels, and scientific journals. Thus this and much more regarding big data and the Internet of Things will be learned from the course. You can checkout more University courses like Madurai Kamaraj University Courses, SJSU Degrees & Courses, at takethiscourse Platform.

Data, Models, and Decisions in Business Analytics

- - Columbia University via edX
  - 120 hours of effort required
  - 34,173+ already enrolled!
  - This course is part of the Business Analytics MicroMaster Program

Data, Models and decisions in business analytics

This data, models, and decisions in business analytics is a very engaging course for you to learn a lot of things regarding data in business analytics. You will be introduced to different fundamental techniques toward a principled approach for data-driven decision-making. The course has many objectives which include teaching you various approaches for decision-making in the face of uncertainty. Next is to help you understand the quantitative modeling of the dynamic nature of decision problems using historical data. Furthermore, understanding optimization methods and software to solve decision problems under uncertainty.

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More Columbia Online Courses:

Demand and Supply Analytics

- - Columbia University via edX
  - 120 hours of effort required
  - 34,173+ already enrolled!
  - This course is part of the Business Analytics MicroMaster Program

Construction Cost Estimating and Cost Control

- - Columbia University via Coursera
  - 18 hours of effort required
  - 19,663+ already enrolled!
  - ★★★★★ (1,042 Ratings)

Construction Scheduling

- - Columbia University via Coursera
  - 20 hours of effort required
  - 15,435+ already enrolled!
  - ★★★★★ (1,148 Ratings)

MOS Transistors

- - Columbia University via Coursera
  - 18 hours of effort required
  - 32,621 already enrolled!
  - ★★★★★ (132 Ratings)

Poverty & Population: How Demographics Shape Policy

- - Columbia University via Coursera
  - 15 hours of effort required
  - 1,949+ already enrolled!
  - ★★★★★ (53 Ratings)

After taking a look at this list, we believe that you will be able to find at least one course of your choice or interest from this list. So pick a course relative to your interest or field now and start learning from it today. And don’t forget to keep yourself safe and never stop learning.

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15 Best+Free Columbia Online University Courses