Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
The Data Science: Productivity Tools certification course will be helping the students to organise and keep their projects and assignments in a structured way and reproduce the files and reports using tools namely- git, GitHub, RStudio and Unix/Linux. The Data Science: Productivity Tools online programme will be teaching the participants the different techniques to use the Linux and Unix tools for managing the data files and the directories that are present in the computer. Candidates will further be introduced and taught the importance of system git which is a powerful tool that will help to keep track in case there is some change in the tracks of the reports and files.
The Data Science: Productivity Tools by edX will further help the applicants learn the basic functions while making a report in R functions and the ways to incorporate the provided code into the document. The eight-week Data Science: Productivity Tools certification programme will involve multiple projects and parts comprising- different scripts and data files. The course offers 2 tracks of study that can be chosen by the candidates - one is the audit and the other is the verified track. In these 2 tracks, the candidates can study in a self-paced mode. Though the course can be learnt by self, the candidates will have limited access to materials during the audit mode, and unlimited access during the verified track.
Fees Informations | Certificate Availability | Certificate Providing Authority |
---|---|---|
INR 12442 | yes | Harvard University, Cambridge |
Data Science Productivity Tools Fees Structure
Particulars | Amount |
Registration Fee | Free |
Course Fee | Rs. 12,442/- |
Certification Qualification Details
For the students to receive the certificate it is necessary that they upgrade their course in the Data Science: Productivity Tools certification.
In this online Data Science: Productivity Tools course students will be learning the listed-
The Data Science: Productivity Tools by edX will be proving helpful to candidates who are interested in-
The given steps need to be followed by the candidates to register in the Data Science: Productivity Tools training
Step 1: The given site has to be visited by the participants to procure the form-
https://www.edx.org/course/data-science-productivity-tools:
Step 2: It is necessary that the participants are providing their “Full Name” in the application form.
Step 3: To provide a “Username” is mandatory and can not be skipped by the applicants.
Step 4: Now the candidates are required to mention their email id in the space given while registering.
Step 5: The students further have to agree to the terms and policies of the programme that is provided.
Step 6: After filling in all the credentials the students are requested to submit their form by clicking the register button.
Data Science: Productivity Tools online course has no clause for providing or assisting with placements. The candidates for more clarity can contact the management.
No, the students are not required to pay any extra amount for getting hold of the Data Science: Productivity Tools resource. It would be made available to all the candidates.
The students are required to download the brochure to access the list of the documents that they need to produce for the registration.
The form can be accessed at the given link-
https://www.edx.org/course/data-science-productivity-tools
Yes, the syllabus in descriptive details has been provided in the brochure. The students can get all the necessary information from there.
As soon as the candidate submits his/her Certificate Course on Data Science: Productivity Tools form and completes the process of fee payment the application confirmation process will resume.
The provision for extra classes will be decided by the faculty in case the Data Science: Productivity Tools syllabus is not completed in the given time.
The students who are interested to study file managing using various tools can pursue the course, till now there is no prerequisite given.
No, the course has no such clause. The students who have no experience can also apply for the programme.