Coursera is the best place to master Statistics with Python! University of Michigan, one of the top Universities of USA is offering Statistics with Python specialization on Coursera.
Those who prefer online learning over conventional learning should definitely look at it. In this article, I go through the stuff you are going learn throughout this specialization. Do read in full to know all of that!
For those who would like to go to this specialization straight away, please click here
Note: You get 7 days of free trial to this specialization! And, if you decide to pay in advance, you get 10% discount!
This specialization is apt for anyone, you need no prior knowledge to start learning from it. The entire content is online, which means, there are no deadlines, you can pick your own schedule. The instructors of the specialization are:
This specialization consists of three courses and they are:
The duration of this specialization is approximately 2 months. You will need to spare about 9 hours each week to complete it.
After the completion of this specialization, you will be well skilled in Python Programming, Data Visualization (DataViz), Statistical Model and Statistical inference methods.
If you are not a native English speaker and you find it tough to understand the accent, don’t worry, you have the option to enable English sub titles.
If you decide to pursue this specialization, please aim for the certificate as well. This will help your resume immensely! You may end up getting a preference over others in your job application.
To earn the certificate, you need to complete the specialization in the following order:
Once you do the above, you earn the certificate 🙂
Statistics with Python specialization is a great opportunity for learners to equip themselves with the skills that will bring them great job offers. Consider enrolling today and start the journey as soon as you can.
Hope you find this post insightful, if you do, kindly share it with your friends, colleagues and loved ones. I look forward to post more resources like this soon, until then bye and happy learning!
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