Learn the new methodology of data analysis with Data Analysis with R Programming course by Coursera.
Data Analysis with R Programming is Google Data Analytics Certificate's seventh certification course, which provides applicants the necessary skills they need to get an introductory level data analysts’ job. The applicant would learn the programming language known as R in this course. The candidate can learn how to use RStudio and the environment for working with R throughout the course.
This course also covers R-unique software programmes and techniques, such as R kits. Candidates will learn how R enables them to clean up, coordinate, interpret, view, and report information in fresh and more efficient ways. Current Google data analysis providers will continue to offer practical instructions and services to registered applicants for basic data analyst roles.
Data Analysis with R Programming certification will be awarded after the successful submission of the quizzes. The candidate will adapt the new programming called ‘R’ and implement its use to solve the respective problems and get efficient solutions.
The fees for the course Data Analysis with R Programming is -
Yes
Coursera
Education
The candidate needs to have basic knowledge of high-school-level mathematics to enrol in Data Analysis with R Programming course by Coursera.
Work experience
No work experience needed for Data Analysis with R Programming certification course.
Certification qualifying details
Candidates need to submit the regular quizzes on time, that’s the only criteria to get Data Analysis with R Programming course certification.
Students will master the following skills after completing the Data Analysis with R Programming programme -
The procedure for enrolling on Data Analysis with R Programming online course is -
Step 1: Go to the course webpage.
Step 2: Choose the "enrol for free" option; if candidates are not registered, then make an account with one of the validated social accounts. Then they must sign in with a registered account.
Step 3: Full details about the time and fees of the course will appear on the page, go along with it, and if the applicants are okay and want to confirm it, tap the "start a free trial" tab.
Step 4: The applicant can go to the billing tab to pay the course fees.
Step 5: Registration is complete for the Data Analysis with R Programming programme.
Candidates who cannot afford the Data Analysis with R Programming course can apply for the scholarship. The procedure requires at least 15 days to check and verify applications for offering scholarships.
Candidates need to submit the regular quizzes on time; that’s the only criteria to get Data Analysis with R Programming course certification.
The Data Analysis with R Programming course helps candidates learn the R vocabulary. The applicant will learn how to interact with RStudio and its environment. This course also includes R-single applications and technology programmes, including R kits. Candidates can learn how R allows them to effectively smooth out, coordinate, interpret, and report content. After satisfactory submission of the quizzes assigned weekly, the Data Analysis with R Programming certification will be awarded to the candidates.
If candidates subscribe, they will get a 7-day free trial that allows them to cancel without any charge. Coursera does not have a policy for refunds afterwards, but candidates can cancel their membership anytime.
The applicants learn how to use applications and frameworks for analysis, such as Excel and spreadsheets, SQL, presentation software, RStudio, Tableau, and Kaggle.
It is a beginner-level course.
The applicant must have a high-school mathematical understanding to apply for the course
Candidates need to submit their assignments at the stipulated time to get the certificate.
Google itself offers the course.
Candidates who cannot afford to get trained in this course offered by Coursera can get financial assistance.
Students can select the platform they want to use: Google sheets or Microsoft excel.
Approximately 33 hours are required to complete the course.
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