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Data Science & ML

Elevate your skills with real-world project building.

(1 Рейтинг)
1 Student
  • Last Updated: 1 декабря, 2023
  • English

About Course

Embark on a transformative journey with our course, ‘Full Stack Project in Next.js + Appwrite.’ Unleash the power of Next.js for seamless front-end development, coupled with the versatility of Appwrite for robust back-end solutions. From dynamic user interfaces to secure authentication, this course guides you through creating a full-stack web project, equipping you with essential skills for modern web development.

  • Harness the capabilities of Next.js for seamless and efficient front-end development.
  • Implement robust back-end solutions using Appwrite, ensuring security and functionality.
  • Craft dynamic and engaging user interfaces for an enhanced user experience.
  • Learn secure authentication techniques to protect user data and enhance application security.
  • Bridge the gap between front-end and back-end, creating a fully integrated and cohesive web project.
  • Gain practical experience by building a full-stack web project with Next.js and Appwrite.
  • Explore optimization techniques for both front-end and back-end, ensuring optimal performance.
  • Acquire skills aligned with modern web development trends, enhancing your proficiency in full-stack development.

Embark on a transformative learning experience with our course, «Full Stack Project in Next.js + Appwrite.» Dive into the world of Next.js for efficient front-end development, mastering its capabilities to craft dynamic user interfaces. Seamlessly integrate Appwrite for a secure and powerful back-end, delving into authentication expertise to safeguard user data. This course guides you through building a complete web project, fostering full-stack integration and providing practical insights into optimization strategies. Elevate your skills with real-world project building, ensuring you’re well-equipped with the latest techniques for modern web development in both front-end and back-end realms.

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Benefits of the course

  • Grasp the core concepts and principles of the React JavaScript library.
  • Understand the importance of component-based architecture in building scalable applications.
  • Master the handling of state and props, fundamental to React component development.
  • Implement routing and navigation in single-page applications using React Router.
  • Dive into React hooks and functional components for modern and efficient development.
  • Learn how to connect React applications to external APIs and manage asynchronous data.

Student Feedback

Total 1 Rating


(5 Рейтинги)

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30-Day Money-Back Guarantee
  • Update: 1 декабря, 2023
  • Lectures8
  • Skill LevelСредний
  • LanguageEnglish
  • Course Duration: 8ч 23м

Your Instructor


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  • 5 Reviews
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  • Familiarity with programming fundamentals, preferably in languages like Python or R.
  • Understanding of basic statistical concepts such as mean, median, and standard deviation.
  • Basic mathematical skills, including algebra and calculus, for grasping advanced concepts.
  • Access to and familiarity with data analysis tools like Python libraries (NumPy, Pandas) or R.
  • Reliable access to a computer and the internet for course materials and practical exercises.
  • A curious mindset and analytical thinking to approach and solve data-related problems.
  • Commitment to engaging with course materials, completing exercises, and participating in discussions.
  • While not mandatory, a background in STEM fields or related disciplines can enhance comprehension.

Target Audience

  • Ideal for individuals looking to kickstart a career in data science.
  • Tailored for analysts and researchers seeking advanced data analysis skills.
  • Suitable for IT and software professionals aiming to diversify into data science.
  • Perfect for business analysts interested in leveraging data for strategic decision-making.
  • Targeted towards statisticians and mathematicians keen on applying their skills in a practical data science context.
  • Designed for graduate students in science, technology, engineering, and mathematics (STEM) fields.
  • Valuable for finance professionals wanting to enhance their analytical capabilities using data.
  • Geared towards entrepreneurs and innovators looking to make data-driven decisions for their ventures.
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