Digital Learning Skills & Enrichment Initiative is a programme spearheaded by the Higher Education Commission of Pakistan in partnership with Coursera, a renowned online learning platform of global repute.
Coursera is an online learning platform featuring many different subjects across an array of learning formats, such as courses, Specializations, Professional Certificates, degrees, and tutorials. Over 300 leading universities and companies provide instruction on Coursera, including Stanford, Duke, Illinois, University of Colorado Boulder, Google, IBM, Microsoft, and Meta.
Acquire job-relevant skills quickly in a two-hour interactive session with a subject matter expert. Access resources in your web browser and follow step-by-step guidance for project execution.
Professional Certificates on Coursera provide skills for career advancement through self-paced learning from top companies and universities. Completing practical projects showcases expertise to potential employers, helping launch your professional journey.
Specialization programs refine career skills through structured curriculums with challenging courses and practical projects. Completion results in a Specialization Certificate for professional recognition.
Digital Learning Skills & Enrichment Initiative is a programme spearheaded by the Higher Education Commission of Pakistan in partnership with Coursera, a renowned online learning platform of global repute.
Coursera is an online learning platform featuring many different subjects across an array of learning formats, such as courses, Specializations, Professional Certificates, degrees, and tutorials. Over 300 leading universities and companies provide instruction on Coursera, including Stanford, Duke, Illinois, University of Colorado Boulder, Google, IBM, Microsoft, and Meta.
Acquire job-relevant skills quickly in a two-hour interactive session with a subject matter expert. Access resources in your web browser and follow step-by-step guidance for project execution.
Professional Certificates on Coursera provide skills for career advancement through self-paced learning from top companies and universities. Completing practical projects showcases expertise to potential employers, helping launch your professional journey.
Specialization programs refine career skills through structured curriculums with challenging courses and practical projects. Completion results in a Specialization Certificate for professional recognition.
DLSEI 3.0 Cohort 3 registration has been closed.
Included with DLSEI 3.0
Learn, practice, and apply job-ready skills with expert guidance
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Domain
This course is the seventh course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R. This course will also cover the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.
By the end of this course, you will:
- Examine the benefits of using the R programming language.
- Discover how to use RStudio to apply R to your analysis.
- Explore the fundamental concepts associated with programming in R.
- Explore the contents and components of R packages including the Tidyverse package.
- Gain an understanding of dataframes and their use in R.
- Discover the options for generating visualizations in R.
- Learn about R Markdown for documenting R programming.
R Programming
Computer Programming
Rstudio
Data Visualization
Analysis
Data Analysis
Ggplot2
Software
Tableau Software
SQL