XSeries Programs

The new concept of remote learning is beginning to revolutionize the education sector but the challenge has always been how to verify the identity of a person taking a course to ensure that there is no cheating. However, to solve this drawback, edX offers a pilot program that provides learners who successfully complete their courses with verified certificates of achievement. The certificate allows students to verify their identity before they can earn a certificate for the course. This helps to assure employers and other institutions that the holder of the certificate has successfully completed the online course.

A sample XSeries Program Certificate (as displayed on edX) is as follows:

Learners can also enroll for the XSeries Programs that are created by some of the best universities as well as world-renowned experts. The programs consist of several courses that seek to explore a particular subject in great depth. After passing each an an every course in the series, learners will earn an XSeries certificate containing the logo of the awarding institution. To enroll in an XSeries program, select the individual course under the XSeries as well as the Verified Certificate option and enroll.

The programs consist of challenging and high-level courses that are taught by expert professors from top universities that include Harvard, Columbia University, Massachusetts Institute of Technology and many more. The enrollment process is also easy enabling learners from all over the world to start learning online. Some of the most popular courses under this program include:

• Introduction to computing in python
• Sustainable tourism
• Career development
• Microsoft SQL database development
• Business model innovation
• Business principles & entrepreneurial thought
• Anatomy

Career Development: Skills for Success

Full bridge via edx

• Taught by: Jim Pautz, Vice President of Coaching
• 1-2 hours a week, 4 weeks long
• More Details

Business Principles and Entrepreneurial Thought

Babson College via edx

• Taught by: Gary Ottley, Anjali S. Bal, Peter Wilson, Peter Cohan, Mark Potter, Dennis J. Ceru, Rick Cleary, Nathan Karst, avit Khachatryan, George Recck, Babak Zafari
• 4-6 hours a week, 4 weeks long
• More Details

Microsoft Excel for the Data Analyst [Course is not Available]

Microsoft via edx

• Taught by: Dany Hoter, Jonathan Sanitom, Wayne Winston, Matthew Minton, Liberty J. Munson
• 2-4 hours a week, 4-6 weeks long

Corporate Financial Analysis

The University of Michigan via edx

• Taught by: Amiyatosh Purnanandam, Gautam Kaul
• 5-6 hours a week, 8 weeks long
• More Details

Genomics Data Analysis

Harvard University via edx

• Taught by: Rafael Irizarry, Michael Love, Vincent Carey
• 2-4 hours a week, 4 weeks long
• More Details

Video Game Design

Rochester Institute of Technology via edx

• Taught by: Kevin Bierre, Stephen Jacobs, Jon-Paul Dyson, Ian Schreiber, Sten McKinzie, Al Biles
• 3 hours a week, 5 weeks long
• More Details

Astrophysics

Australian National University via edx

• Taught by: Brian Schmidt, Paul Francis
• 3 hours per week, 9-10 weeks long
• More Details

Data Analysis for Life Sciences

Harvard University via edx

• Taught by: Rafael Irizarry, Michael Love
• 2-4 hours a week, 4 weeks long
• More Details

Fundamentals of Computer Science

IIT Bombay via edx

• Taught by: Ajit Diwan, Supratik Chakraborty, Ganesh Ramakrishnan, Deepak B. Phatak, Nagesh Karmali, Firuza Aibara
• 8 hours a week, 4-9 weeks long
• More Details

Data Science and Engineering with Spark

University of California, Berkeley via edx

• Taught by: Jon Bates, Ameet Talwalkar, Anthony D. Joseph
• 5-10 hours a week, 2-4 weeks long
• More Details