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
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.
The Highlights
- Professional certificate
- Self-paced learning with limited audit track access
- Certificate by edX
- 8 weeks programme
- Free registration
- Course partnered by Harvard University
- Introductory level programme
- Verified certificate
Programme Offerings
- E-learning
- Lectures
- assignments
- Video transcripts
- Projects
- Expert Faculty
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 149 | yes | Harvard University, Cambridge |
Data Science Productivity Tools Fees Structure :
Particulars | Amount |
Audit | Nil |
Certificate Fee | $ 149 |
Eligibility Criteria
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.
What you will learn
In this online Data Science: Productivity Tools course students will be learning the listed-
- Students in the course tenure will be learning to arrange their files and folders with the help of Linux tools Data Science: Productivity Tools.
- Candidates will be developing skills on the different types of file systems whose knowledge can later be incorporated in the professional world Data Science: Productivity Tools certification course.
- The students will further learn the basics of the repository mechanism in GitHub and after that can work more efficiently with Data Science: Productivity Tools training programme.
- He/she will have their knowledge enhanced on the domain of leverage and they will also use the concepts of it in their projects.
- They will be learning the features and usefulness of RStudio and will be incorporating it in their assignments.
- The applicants will be learning the features of tools that include- RStudio, git, GitHub and others in the programme and will also be using the features in future projects while working on Data Science: Productivity Tools classes programme.
Who it is for
The Data Science: Productivity Tools by edX will be proving helpful to candidates who are interested in-
- The participants who are eager to develop skills in the basics of RStudio and incorporate the knowledge in their professional domain can register for the course can go for Data Science: Productivity Tools.
- Candidates wanting to research further in the field of data analysis should without delay get themselves registered and can go for Data Science: Productivity Tools programme.
Application Details
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/learn/data-science/harvard-university-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.