Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Using Python for Research certification course by edX is being offered to teach the learners how to use Python 3 for their research. This course aims to fill the gap between introductory and advanced courses in Python. Also, it has been designed in collaboration with the experienced faculty of Harvard University.
Participants of this course will be able to use their Python skills for their research work. Participants will first go through the basic concepts of Python 3 and then they shall learn about the tools and techniques such as NumPy and Scipy, which are used in research settings. The course also includes a new module about statistical learning using the sci-kit-learn library. This Using Python for Research training course is a blend of guided introduction and independent in-depth exploration. Participants will be trained in various Python skills using various case studies selected for their scientific breadth and their inclusion of different features of Python.
There are 2 modes of study - Audit and Verified Track that can be selected by the candidates to complete their studies. In the case of Audit tracks, the candidates will get a particular time limit in which they will have to learn the course materials but in the case of Verified tracks, the candidates will have an unlimited period in which they may complete the course.
The Highlights
- Online course delivery
- Free course accessibility
- 12 weeks of learning
- 2-4 hours of weekly learning
- Intermediate course
- Certification by edX and Harvard university
- Shareable certificate
- Course instructors from Harvard university
Programme Offerings
- video transcript
- Case Studies
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 20676 | yes | Harvard University, Cambridge |
The Using Python for Research certification fee is mentioned below:
- Course access is given at zero cost to all candidates.
- In case they wish to get a course certificate, an amount of Rs. 20,676 has to be paid to upgrade the course.
Fee details for Using Python for Research course by edX
Particulars | Amount in INR |
Course access | Free |
Course certificate fees | Rs. 20,676 /- |
Eligibility Criteria
Certification Qualifying Details
Using Python for Research certification by edX will be given to the participants after they successfully complete the course and pay the certification fees.
What you will learn
After completion of the Using Python for Research certification syllabus by edX participants will have an understanding of the following topics:
- Understand the basic concepts of Python 3 language.
- Learn about the python modules used in scientific computation.
- Acknowledge the concept of statistical learning.
- Grasp the use of the sci-kit-learn library.
- Learn how to apply Python research tools in practical settings.
- Understand how to use their coding skills.
Who it is for
This course will be beneficial for the following candidates:
- Candidates interested in learning and developing their python skills.
- Candidates who wish to pursue their career in python programming as python programmers.
Admission Details
Candidates can secure admission to the Using Python for Research classes by following the steps given below:
Step 1: To begin the admission process visit the given URL https://www.edx.org/course/using-python-for-research
Step 2: Select the option to enrol.
Step 3: Register with edX to continue further.
Step 4: Post-registration, candidates can either pursue the verified track or the audit track.
Step 5: In the audit track candidates will be given free course access and for the verified track, they will have to pay the fees to get course access.
The Syllabus
- Review of basic Python 3 language concepts and syntax.
Introduction to Python modules commonly used in scientific computation, such as NumPy.
This collection of six case studies from different disciplines provides opportunities to practice Python research skills.
Exploration of statistical learning using the scikit-learn library followed by a two-part case study that allows you to further practice your coding skills.
Instructors
Harvard University, Cambridge Frequently Asked Questions (FAQ's)
The course instructor will be Jukka-Pekka “JP” Onnela, an associate professor at Harvard University.
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Participants can activate their account through the link sent in the activation email after registration.
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Identity verification done by the participants is valid for one year. After it expires, candidates can submit the pictures again.
Identity verification is necessary for the participants to gain a verified certification for the course they pursue on edX.
Refunds can be provided to the participants who un enrol themselves within the 14 days period. 14 days after the purchase date or 14 days after the course starts.
edX offers programme certificates as well. They are given when the participants have a verified certificate for all the courses of a programme.