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Manohar Mulchandani
This guided project is the first of four projects in the "Programming for Everyone" series. This series aims to help you create and style a fun web app that you can share with your friends, family, colleagues or any other audience you may have in mind.
This first guided project aims to teach Programming Foundations using the R Programming language, one of the two popular languages used by data scientists. The foundations so built will be used to build a fun Web App in the second guided project
This Guided Project was created by a Coursera community member.
Register for this course and see more details by visiting:
OpenCourser.com/course/q0cd0f/programming
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Primarily designed for beginners with little to no experience in programming
Instructors are experienced professionals in the field, adding credibility to the course
Focuses on teaching programming foundations using R, a widely used language in data science
May require additional resources or prerequisites for learners with no programming background
Save this course
Save Programming for Everyone : Programming Foundations to your list so you can find it easily later:
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Reviews summary
Basic r programming foundations
Based on six reviews, this course has an average rating of 4.0 out of 5, suggesting that it is well-received by learners. Reviewers describe the course as a helpful introduction to R programming, praising the clear instructions and engaging format. However, some find the repetitive nature of the content to be a drawback and desire a shareable certificate upon completion.
Fun and interactive learning experience.
Easy-to-follow instructions.
"The instructor tries to make everything very clear..."
Learners desire a shareable certificate.
"I wish that some shareable certificate was offered for purchase upon the completion of the project."
Some find the content to be repetitive.
"... by doing so, the instructions get repetitive quickly."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Programming for Everyone : Programming Foundations with these
activities:
Review Basic Probability and Statistics
Show steps
Reviewing basic probability and statistics will help you refresh your knowledge and make it easier to understand the R programming concepts covered in the course
Browse courses on
Probability
Show steps
-
Read a textbook or online article on basic probability
-
Solve practice problems on basic probability
-
Read a textbook or online article on basic statistics
-
Solve practice problems on basic statistics
Follow R Programming Tutorials
Show steps
Following R programming tutorials will help you supplement your learning and reinforce the concepts covered in the course
Browse courses on
Data Manipulation
Show steps
-
Find a tutorial that matches your learning style
-
Follow the tutorial step-by-step
-
Take notes on new concepts
-
Practice the examples in the tutorial
-
Complete any exercises or assignments that are part of the tutorial
Complete Leetcode Problems
Show steps
Leetcode problems will provide you with hands-on practice to reinforce basic R programming concepts
Browse courses on
R Programming
Show steps
-
Start by solving easy problems
-
Gradually move on to harder problems
-
Learn new concepts through solving problems
-
Focus on understanding the solutions
-
Review your solutions regularly
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend Study Groups
Show steps
Study groups provide opportunities to discuss the course material, ask questions, and learn from your peers
Show steps
-
Find a study group
-
Attend study group meetings regularly
-
Participate in discussions
-
Help others with their understanding of R Programming
Create a Data Visualization Project
Show steps
Creating a data visualization project will help you apply your R skills to a real-world problem and demonstrate your understanding of data visualization techniques
Browse courses on
Data Visualization
Show steps
-
Choose a dataset
-
Explore the data
-
Create a visualization
-
Interpret the results
-
Write a report or presentation
Build a Web Application
Show steps
Building a web application will allow you to apply your R programming skills to create a functional and interactive web application
Browse courses on
Web Development
Show steps
-
Choose a project idea
-
Design the application
-
Develop the application
-
Test the application
-
Deploy the application
Mentor Other Students
Show steps
Mentoring other students will help you reinforce your understanding of R Programming and develop your communication and leadership skills
Show steps
-
Sign up to become a mentor
-
Meet with your mentee regularly
-
Answer your mentee's questions
-
Provide feedback on your mentee's work
-
Help your mentee set and achieve their goals
Contribute to an Open-Source R Project
Show steps
Contributing to an open-source R project will help you learn about real-world R programming projects and contribute to the R community
Browse courses on
R Programming
Show steps
-
Find an open-source R project to contribute to
-
Read the project documentation
-
Identify an issue or feature that you can work on
-
Fork the project and create a pull request
-
Work with the project maintainers to get your pull request merged
Review Basic Probability and Statistics
Show steps
Reviewing basic probability and statistics will help you refresh your knowledge and make it easier to understand the R programming concepts covered in the course
Browse courses on
Probability
Show steps
Show steps
Show steps
- Read a textbook or online article on basic probability
- Solve practice problems on basic probability
- Read a textbook or online article on basic statistics
- Solve practice problems on basic statistics
Follow R Programming Tutorials
Show steps
Following R programming tutorials will help you supplement your learning and reinforce the concepts covered in the course
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Find a tutorial that matches your learning style
- Follow the tutorial step-by-step
- Take notes on new concepts
- Practice the examples in the tutorial
- Complete any exercises or assignments that are part of the tutorial
Complete Leetcode Problems
Show steps
Leetcode problems will provide you with hands-on practice to reinforce basic R programming concepts
Browse courses on
R Programming
Show steps
Show steps
Show steps
- Start by solving easy problems
- Gradually move on to harder problems
- Learn new concepts through solving problems
- Focus on understanding the solutions
- Review your solutions regularly
Five other activities
Expand to see all activities and additional details
Show all eight activities
Attend Study Groups
Show steps
Study groups provide opportunities to discuss the course material, ask questions, and learn from your peers
Show steps
Show steps
Show steps
- Find a study group
- Attend study group meetings regularly
- Participate in discussions
- Help others with their understanding of R Programming
Create a Data Visualization Project
Show steps
Creating a data visualization project will help you apply your R skills to a real-world problem and demonstrate your understanding of data visualization techniques
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset
- Explore the data
- Create a visualization
- Interpret the results
- Write a report or presentation
Build a Web Application
Show steps
Building a web application will allow you to apply your R programming skills to create a functional and interactive web application
Browse courses on
Web Development
Show steps
Show steps
Show steps
- Choose a project idea
- Design the application
- Develop the application
- Test the application
- Deploy the application
Mentor Other Students
Show steps
Mentoring other students will help you reinforce your understanding of R Programming and develop your communication and leadership skills
Show steps
Show steps
Show steps
- Sign up to become a mentor
- Meet with your mentee regularly
- Answer your mentee's questions
- Provide feedback on your mentee's work
- Help your mentee set and achieve their goals
Contribute to an Open-Source R Project
Show steps
Contributing to an open-source R project will help you learn about real-world R programming projects and contribute to the R community
Browse courses on
R Programming
Show steps
Show steps
Show steps
- Find an open-source R project to contribute to
- Read the project documentation
- Identify an issue or feature that you can work on
- Fork the project and create a pull request
- Work with the project maintainers to get your pull request merged
Career center
Learners who complete Programming for Everyone : Programming Foundations will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
A Statistician designs, conducts, and interprets statistical studies. They use statistical methods to collect and analyze data, and then present their findings in reports and presentations. This course helps build a foundation in programming and statistics, which are essential skills for Statisticians. The course also provides hands-on experience with the R programming language, which is commonly used by Statisticians.
Data Scientist
Data Scientist
A Data Scientist uses advanced computational tools to analyze large and complex datasets. They help companies make data-driven decisions and develop predictive models. This course helps build a foundation in programming and data analysis, which are essential skills for Data Scientists. The course also provides hands-on experience with the R programming language, which is commonly used by Data Scientists.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data. They help investment firms make informed decisions about buying and selling stocks, bonds, and other financial instruments. This course helps build a foundation in programming and financial modeling, which are essential skills for Quantitative Analysts. The course also provides hands-on experience with the R programming language, which is commonly used by Quantitative Analysts.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs and builds machine learning models. They use machine learning algorithms to train computers to learn from data. This course helps build a foundation in programming and machine learning, which are essential skills for Machine Learning Engineers. The course also provides hands-on experience with the R programming language, which is commonly used by Machine Learning Engineers.
Business Analyst
Business Analyst
A Business Analyst uses data to help businesses make better decisions. They collect, clean, and analyze data, and then present their findings in reports and presentations. This course helps build a foundation in programming and data analysis, which are essential skills for Business Analysts. The course also provides hands-on experience with the R programming language, which is commonly used by Business Analysts.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. They use programming languages to create software that meets the needs of users. This course helps build a foundation in programming, which is an essential skill for Software Engineers. The course also provides hands-on experience with the R programming language, which is commonly used by Software Engineers.
Data Analyst
Data Analyst
A Data Analyst uses data to help businesses make better decisions. They collect, clean, and analyze data, and then present their findings in reports and presentations. This course helps build a foundation in programming and data analysis, which are essential skills for Data Analysts. The course also provides hands-on experience with the R programming language, which is commonly used by Data Analysts.
Web Developer
Web Developer
A Web Developer designs and develops websites. They use programming languages to create websites that are both functional and aesthetically pleasing. This course helps build a foundation in programming, which is an essential skill for Web Developers. The course also provides hands-on experience with the R programming language, which is commonly used by Web Developers.
Systems Analyst
Systems Analyst
A Systems Analyst designs and implements computer systems. They use programming languages to create software that meets the needs of users. This course helps build a foundation in programming and systems analysis, which are essential skills for Systems Analysts. The course also provides hands-on experience with the R programming language, which is commonly used by Systems Analysts.
Computer Programmer
Computer Programmer
A Computer Programmer writes code that makes computers perform specific tasks. They use programming languages to create software that solves problems or meets the needs of users. This course helps build a foundation in programming, which is an essential skill for Computer Programmers. The course also provides hands-on experience with the R programming language, which is commonly used by Computer Programmers.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They use programming languages to create and maintain databases that store and organize data. This course helps build a foundation in programming and database management, which are essential skills for Database Administrators. The course also provides hands-on experience with the R programming language, which is commonly used by Database Administrators.
Computer Support Specialist
Computer Support Specialist
A Computer Support Specialist provides technical support to computer users. They use programming languages to troubleshoot and resolve computer problems. This course helps build a foundation in programming and computer support, which are essential skills for Computer Support Specialists. The course also provides hands-on experience with the R programming language, which is commonly used by Computer Support Specialists.
Network Administrator
Network Administrator
A Network Administrator manages and maintains computer networks. They use programming languages to create and maintain networks that allow computers to communicate with each other. This course helps build a foundation in programming and network administration, which are essential skills for Network Administrators. The course also provides hands-on experience with the R programming language, which is commonly used by Network Administrators.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects computer systems from security threats. They use programming languages to create and maintain security systems that protect data and networks from unauthorized access. This course helps build a foundation in programming and information security, which are essential skills for Information Security Analysts. The course also provides hands-on experience with the R programming language, which is commonly used by Information Security Analysts.
Data Entry Clerk
Data Entry Clerk
A Data Entry Clerk enters data into computer systems. They use programming languages to create and maintain databases that store and organize data. This course helps build a foundation in programming and data entry, which are essential skills for Data Entry Clerks. The course also provides hands-on experience with the R programming language, which is commonly used by Data Entry Clerks.
For more career information including salaries, visit:
OpenCourser.com/course/q0cd0f/programming
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Programming for Everyone : Programming Foundations.
Save
A deep dive into advanced analytics and graphics using R. Ideal for those with some experience with R who want to take their skills to the next level.
Save
A comprehensive guide to programming with R, covering data manipulation, visualization, statistical modeling, and more. Suitable for beginners and experienced programmers alike.
Save
A collection of practical recipes for solving common problems in R. Provides solutions to a wide range of tasks, from data cleaning and manipulation to statistical modeling and visualization.
The definitive reference book for the R programming language. Provides a comprehensive overview of R's syntax, semantics, and features.
Covers a wide range of statistical methods, from basic descriptive statistics to advanced modeling techniques. Focuses on practical applications and real-world examples.
Save
Provides a comprehensive introduction to data analysis using R. Covers data exploration, visualization, statistical modeling, and more.
Covers a wide range of statistical learning methods, including linear regression, logistic regression, decision trees, and more. Focuses on practical applications and real-world examples.
Covers the ggplot2 package for data visualization in R. Provides a comprehensive guide to creating beautiful and informative graphs.
Save
Provides a comprehensive guide to R Markdown, a powerful tool for combining code, text, and graphics into dynamic documents.
Save
Covers advanced topics in R programming, including object-oriented programming, high-performance computing, and more.
Provides a comprehensive overview of R programming, focusing on good coding practices and software engineering principles.
Covers a wide range of topics in data science, including data manipulation, visualization, statistical modeling, and more.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/q0cd0f/programming
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Time
2 hours
Via
Coursera
Institution
Coursera Community Project Network
Instructor
Manohar Mulchandani
Good to know
Primarily designed for beginners with little to no experience in programming
Instructors are experienced professionals in the field, adding credibility to the course
Focuses on teaching programming foundations using R, a widely used language in data science
May require additional resources or prerequisites for learners with no programming background
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