Beyond Coding-Tools & Practices for Coders and Data Analysts
What you'll learn
- Navigate and utilize the command line interface for software development.
- Effectively use Git and GitHub for version control and collaboration in projects.
- Leverage GitHub Codespaces for a seamless, setup-free coding environment.
- Develop the skills to collaborate on coding projects in a team setting.
- Advanced Prompt Engineering Techniques to master your AI game
Requirements
- No prior experience with programming or version control is required. This course is designed to guide you from the basics to proficiency.
- A willingness to learn and experiment with new software development tools and practices.
- Access to a computer with internet connectivity to use GitHub and Codespaces.
Description
Ever wondered what they don’t teach in coding tutorials? It's the skills that truly matter – like navigating the command line with ease, collaborating seamlessly on GitHub, and setting up an efficient development environment. That’s exactly what 'Beyond Coding: Tools & Practices for Coders and Data Analysts' is all about. Taught by an ex-Stanford TA and a practicing data scientist, this course is your roadmap to the unspoken essentials of tech.
Why This Course?
Real Skills for Real Challenges: Discover the tools and practices that make a difference in day-to-day tech work.
More Than Coding: Learn how to set up your environment, manage code with Git, and collaborate like a pro.
Guided by Experience: Gain insights from instructors who've been in the trenches and know what counts.
What You’ll Gain:
A Comprehensive Toolkit: Command Line, Git, GitHub – master the tools that underpin successful tech projects.
Hands-on Learning: Dive into projects that simulate real-world scenarios. This isn’t just theory; it’s practice.
Essential Resources: Access cheat sheets for quick reference and a community forum for ongoing support.
Transform Your Tech Journey:
Tailored Learning Curve: From basic setup to complex tasks, evolve through a curriculum designed for real-world relevance.
Practical, Not Theoretical: Tackle the tasks that tech pros handle every day.
Lead the Conversation: By the end of this course, you won’t just follow tech trends; you’ll be setting them.
Ready to Go Beyond?
Enroll now in 'Beyond Coding: Tools & Practices for Coders and Data Analysts' and start mastering the skills that make tech professionals indispensable. This is more than just another coding course – it’s the beginning of your transformation into a tech leader.
Who this course is for:
- Aspiring developers and data scientists looking to solidify their foundational tech and prompt engineering skills.
- Individuals interested in learning how to manage codebases and collaborate on software projects.
- Any learners keen on understanding the workflow of modern software development, including the use of cutting-edge cloud-based development environments like GitHub Codespaces.
Instructors
- 4.9 Instructor Rating
- 48 Reviews
- 2,816 Students
- 2 Courses
Fusing Humanities with Tech: At "Philosophers Who Code," we believe the analytical and creative skills honed through humanities studies are invaluable in the tech world. We're here to help you channel your unique background into tech fluency and innovation.
Broadening Tech Horizons: We empower students from the arts, social sciences, and beyond to apply their critical thinking and problem-solving prowess to the tech industry. It’s not just about learning to code; it’s about coding to learn and transform.
Mentorship for the Divergent Thinker: Whether you've dissected literature or debated ethics, your skills are a match for tech's complex puzzles. Our community supports the transition from reflective exploration to digital creation.
Narrative Crafters in Code: Join a movement where your narrative crafting and thematic analysis skills illuminate paths in data storytelling and user experience. At "Philosophers Who Code," every humanities skill is a stepping stone to tech mastery.
- 4.9 Instructor Rating
- 48 Reviews
- 2,816 Students
- 2 Courses
Data Science Practitioner: Engaged in the practical application of machine learning, always exploring innovative ways to solve real-world problems.
Education Enthusiast: Passionate about sharing knowledge, with a knack for breaking down complex concepts into digestible, engaging lessons.
Mentorship Experience: Provided guidance to up-and-coming data enthusiasts on platforms like Kaggle, fostering a community of learning and growth.
Academic Involvement: Contributed to the academic realm through a TA role at Stanford, enriching the educational experience with hands-on expertise.
Lifelong Learner: A firm believer in continuous education, both as a teacher and a student, dedicated to staying at the forefront of technology and teaching methodologies.