Computer Skills Goals and Objectives Examples
Learn basic keyboarding skills.
Improve typing speed to 50 words per minute.
Learn how to use Microsoft Word for creating documents.
Become proficient in using Excel spreadsheets for data analysis.
Develop advanced PowerPoint presentation skills.
Learn how to use Adobe Photoshop for image editing.
Master the art of coding HTML and CSS.
Develop programming skills in JavaScript for website development.
Learn SQL and database management.
Become proficient in using Microsoft Access for managing databases.
Learn how to use QuickBooks for accounting purposes.
Develop skills in using Google Analytics for website tracking.
Become familiar with project management software, such as Asana or Trello.
Learn how to use email clients, such as Outlook or Gmail.
Understand cloud computing and the use of services such as Dropbox or Google Drive.
Become proficient in using video conferencing software, such as Zoom or Skype.
Develop skills in using social media platforms, such as Facebook, Twitter, and LinkedIn.
Learn how to build a website using WordPress or other content management systems.
Develop skills in SEO optimization and digital marketing techniques.
Understand network security and the importance of protecting sensitive data.
Learn how to troubleshoot common computer problems on your own.
Become proficient in using operating systems such as Windows and macOS.
Develop skills in using virtualization software, such as VMware or VirtualBox.
Understand how to use remote desktop software, such as TeamViewer or Remote Desktop Connection.
Learn how to set up and configure networks for home or office use.
Become familiar with cybersecurity concepts and best practices.
Develop skills in using mobile devices, such as smartphones and tablets.
Learn how to use cloud-based productivity tools such as G Suite or Office 365.
Develop skills in using artificial intelligence tools and applications.
Learn how to create and maintain a blog or personal website.
Become proficient in using graphic design tools such as Canva or Sketch.
Develop skills in using video editing software such as Adobe Premiere Pro or Final Cut Pro X.
Learn how to code in Python for scientific computing and machine learning.
Understand how to use augmented reality and virtual reality technologies.
Develop skills in using big data tools such as Hadoop or Apache Spark.
Become proficient in using version control systems such as Git or SVN.
Learn how to automate repetitive tasks using scripting languages such as Bash or PowerShell.
Understand how to use containerization technologies such as Docker or Kubernetes.
Develop skills in using open-source software tools such as Linux or PostgreSQL.
Learn how to use encryption tools and techniques to protect data privacy.
Understand how to develop mobile applications for Android and iOS platforms.
Become familiar with blockchain technology and its potential applications.
Develop skills in natural language processing and speech recognition technologies.
Learn how to use data visualization tools such as Tableau or Power BI.
Understand how to develop web applications using Node.js and React.js frameworks.
Develop skills in using cloud-based machine learning platforms such as TensorFlow or Amazon SageMaker.
Learn how to set up a DevOps pipeline for continuous integration and deployment of software applications.
Become proficient in using agile methodologies for software development projects.
Develop skills in ethical hacking and penetration testing techniques.
Learn how to use chatbot development platforms such as Dialogflow or Botpress.
Understand how to develop Internet of Things (IoT) applications using platforms such as Arduino or Raspberry Pi.
Become familiar with quantum computing technologies and their potential impact on computing industries and society at large.
Develop skills in using natural user interfaces (NUIs) such as gesture recognition, voice recognition, or eye-tracking technologies.
Learn how to use data science tools and libraries such as SciPy or Scikit-Learn for machine learning projects.
Understand how to develop cloud-native applications using microservices architectures and container orchestration tools such as Kubernetes or Istio.
Develop skills in developing enterprise-grade software integrations through enterprise service buses (ESBs) like MuleSoft.
Learn front-end web development frameworks like Vue.js, Angular.js, or React.
Understand feature engineering techniques that extract meaningful representations of raw data features for machine learning models.
Develop Machine learning models that leverage deep neural networks architectures like convolutional neural networks(CNN), recurrent neural networks(RNN), transformers, etc., through libraries like PyTorch or Tensorflow.
Understand sentiment analysis techniques that learn from labeled data to identify opinions expressed in textual formats like customer reviews, comments, remarks, etc., through supervised learning algorithms.
Increase efficiency in coding by leveraging code editors like Visual Studio Code(VSCode), Sublime Text, Atom, Jupyter notebooks, etc., along with essential plugins/packages.
Implement test-driven development(TDD) methodologies across the software development life cycle(SDLC) by leveraging tools like Jest(javascript), Pytest(python), etc.
Use package/dependency managers like NPM/Jenkins(Python)/Maven(Java) that enable simple management/versioning of dependencies/libraries used in a project.
Optimize memory allocation by minimizing overheads that accompany large-scale computations requiring significant computational resources.
Increase efficiency by implementing caching mechanisms through middleware technologies like Redis/Memcache.
Use CI/CD tools/frameworks like Jenkins/AWS CodePipeline/GitHub Actions/Bamboo, etc., that facilitate continuous integration and deployment of software artifacts.
Automate tasks related to software testing/QA processes by leveraging techniques like unit/regression/integration/e2e testing.
Ensure backward compatibility of software applications by maintaining documentation &versioning routinely.
Integrate source-code management(SCM) processes into the SDLC by implementing version control systems like GIT/SVN.
Build scalable & efficient server-side web applications by leveraging backend web frameworks like Express(Node.js), Django/Flask(Python), Spring Boot(Java), etc.
Leverage cloud computing services offered by public clouds like AWS, GCP, Azure that abstract infrastructure complexities surrounding server management.
Optimize database queries performed by applications by minimizing query time and I/O requirements.
Ensure application interoperability by following standard protocols like HTTP(S)/TCP/IP/SOAP/REST providing seamless integration between different systems/components.
Develop smart contracts across blockchain platforms like Ethereum/Hyperledger enabling secure value exchanges within blockchain ecosystems.
Utilize best practices surrounding cybersecurity by designing security controls at every layer of the application architecture stack.
Streamline collaborate efforts amongst team members & facilitate seamless communication by utilizing team collaboration tools like Slack/Microsoft Teams/Trello/Asana.