Help Articles
Using projects on coursera to showcase your skills, learner help center jun 6, 2023 • knowledge, article details.
Projects on Coursera offer a hands-on experience where you can use industry tools to solve real-world challenges and create work samples that help you showcase your skills and stand out to potential employers.
Projects can be especially valuable if you’re planning on switching careers or breaking into a new field. Completing Projects and adding them to your Coursera profile can help you stand out to employers and take the next step in your career.
This article will provide guidelines on how to effectively showcase your completed Projects to create an appealing portfolio.
How to showcase your Projects to employers
Clear and concise descriptions, focus on relevant details, edit and proofread your work.
Projects allow you to demonstrate your hands-on experience in a particular field, which helps you stand out to potential employers. To effectively present your Projects, follow these guidelines:
- Write clear and concise descriptions
Back to top
Employers may have limited time to review your portfolio, and lengthy or unclear descriptions may cause them to miss important details. Writing clear and concise descriptions helps to demonstrate your ability to effectively communicate complex information.
When you’re writing the summary, solution, and approach for your Project, you should focus on these key details:
- Context : Describe the problem you were solving, and your goals for the Project.
- Strategy : Explain your approach to the Project and how you overcame challenges.
- Results : Highlight your key findings and the positive outcomes of your work.
- Skills : Identify the relevant skills you’re demonstrating.
When you’re describing your Project, be sure to consider what is most relevant to the field or position you’re targeting. Overloading your descriptions with irrelevant information may distract employers from the qualifications they’re seeking in a candidate.
When you’re deciding on what to include in your descriptions, be sure to ask yourself:
- How is this information relevant to this field or role?
- What would an employer care about?
- How can I distinguish myself from other candidates?
You can review the job description for a position you’re interested in to identify which specific skills employers are looking for.
Carefully proofread and edit your descriptions to make sure you’re demonstrating good communication skills. Typos and grammatical errors can create a negative impression for employers. You should also avoid slang or informal speech (such as ‘lol’), which may come across as unprofessional.
You may find it helpful to read your writing out loud, or have someone else review it to ensure that it is clear and easy to understand.
Related Articles
- Number of Views 183
- Number of Views 383
- Number of Views 320
- Number of Views 291
- Number of Views 490
© 2021 Coursera Inc. All rights reserved.
Instantly share code, notes, and snippets.
edownin1 / Coursera Capstone Project W3 - Exploratory Data Analysis.ipynb
- Star 1 You must be signed in to star a gist
- Fork 2 You must be signed in to fork a gist
- Embed Embed this gist in your website.
- Share Copy sharable link for this gist.
- Clone via HTTPS Clone using the web URL.
- Learn more about clone URLs
IMAGES
VIDEO
COMMENTS
To associate your repository with the coursera-capstone topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Add this topic to your repo. To associate your repository with the capstone-project topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
This repository contains the Applied Data Science Capstone Project for IBM Data Science Certificate Topics jupyter-notebook coursera capstone python3 ibm-watson applied-data-science
Data Analyst Capstone Project in Coursera Topics dashboard presentation exploratory-data-analysis coursera data-visualization data-wrangling ibm data-analyst data-profiling webscrapping capstone-project
Course repository for Coursera Data Science Specialization Capstone Project. Implemented a learning model for text prediction. TestProgram.R. Code for dataset download and unzipping; ReadLine code for each file; Answer Code for Capstone Quiz 1 questions; Answers for Capstone quix on NLP (quiz 2 and 3) ngramsCreate.R
This course is part of the IBM Front-End Developer Professional Certificate. When you enroll in this course, you'll also be enrolled in this Professional Certificate. Learn new concepts from industry experts. Gain a foundational understanding of a subject or tool. Develop job-relevant skills with hands-on projects.
There are 6 modules in this course. Show your mastery of JavaScript full-stack application development by completing this capstone project! In this course, you will apply your knowledge and skills to a real-life inspired challenge and use your expertise to develop a successful solution. The project provides you with an opportunity to solidify ...
The Capstone project enables you to demonstrate multiple skills by solving an authentic real-world problem. You'll test your abilities in full-stack back-end development in a real-life scenario by composing a Django web app. Each module includes a brief recap of, and links to, content that you have covered in previous courses in this program.
There are 7 modules in this course. Show your mastery of full stack application development by completing this capstone project! In this course, you will apply your knowledge and skills to a real-life inspired challenge and use your expertise to develop a successful solution.
There are 6 modules in this course. Showcase your DevOps and Software Engineering skills with this hands-on Capstone project! In this course you will apply the skills and techniques you have learned as part of the previous courses in the Professional Certificate. During the project you will develop, test, deploy, monitor, and enhance a secure ...
These labs are designed to be executed in the IBM Developer Skills Network Cloud IDE with OpenShift. Please use the links provided in the Coursera Capstone project to access the lab environment. Once you are in the lab environment, you can initialize it with bin/setup.sh by sourcing it. ( Note: DO NOT run this program as a bash script.
This course is part of the IBM Data Warehouse Engineer Professional Certificate. When you enroll in this course, you'll also be enrolled in this Professional Certificate. Learn new concepts from industry experts. Gain a foundational understanding of a subject or tool. Develop job-relevant skills with hands-on projects.
edownin1 / Coursera Capstone Project W2 - Data Wrangling Lab.ipynb. edownin1. /. Coursera Capstone Project W2 - Data Wrangling Lab.ipynb. Last active 2 years ago. Star 1. Fork 0. GitHub Gist: instantly share code, notes, and snippets.
Packages. No packages published. Contribute to ipsita1999/Coursera_capstone_Project development by creating an account on GitHub.
edownin1 / Coursera Capstone Project W4 - Data Visualization.ipynb. edownin1. /. Coursera Capstone Project W4 - Data Visualization.ipynb. Created 3 years ago. Star 1. Fork 1. GitHub Gist: instantly share code, notes, and snippets.
Coursera_Capstone This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Coursera Project - Applied Data Science Capstone. GitHub Gist: instantly share code, notes, and snippets.
Contribute to ipsita1999/Coursera_capstone_Project development by creating an account on GitHub.
1 - 14 of 14 Reviews for DevOps Capstone Project. By Mitch G. •. Jun 15, 2023. Excellent review and test of all the prior courses. Its implementation and execution are marred by some A) lab guidance oscialtes between vague and tight, mixed w/ overly specific (hence a confusing mix, often misleading the novice!)
edownin1. /. Coursera Capstone Project W1L2 - Collecting Data Using APIs.ipynb. Last active 6 months ago. Star 2. Fork 1. Raw. Coursera Capstone Project W1L2 - Collecting Data Using APIs.ipynb.
This module focuses on developing an Agile plan to create a RESTful microservice. You will complete this project throughout several sprints using a variety of Agile, cloud-native, and CI/CD tools and technologies. You will begin by creating a GitHub repository for the project and adding this repository to a Zenhub kanban board.
Contribute to nktsthi/Coursera_Capstone development by creating an account on GitHub. Contribute to nktsthi/Coursera_Capstone development by creating an account on GitHub. ... Projects 0; Security; Insights nktsthi/Coursera_Capstone. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository
Strategy: Explain your approach to the Project and how you overcame challenges. Results: Highlight your key findings and the positive outcomes of your work. Skills: Identify the relevant skills you're demonstrating. Writing tips: Use headers to break up each section of your response. Use bullet points or short paragraphs to space out information.
Coursera Capstone Project W3 - Exploratory Data Analysis.ipynb. Last active 10 months ago. Star 1. Fork 2. GitHub Gist: instantly share code, notes, and snippets.
Find helpful learner reviews, feedback, and ratings for IBM Data Analyst Capstone Project from IBM. Read stories and highlights from Coursera learners who completed IBM Data Analyst Capstone Project and wanted to share their experience. This is a great course. I learned so much about data science. I appreciate all the help I received. ...
Image from Coursera . However, over 2 million other people have enrolled in the same course, and have potentially completed the same capstone project. Chances are, recruiters have seen these projects on the resume of hundreds of applicants, and will not be impressed by it. ... You can find a link to this project's GitHub repository here. 2 ...