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Data Science & ML

Elevate your skills with real-world project building.

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(1 Beoordeling)
0 Students
  • 1 december 2023
  • English

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.


(5 Beoordelingen)

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  • Lectures8
  • Skill LevelGemiddeld
  • LanguageEnglish
  • Course Duration: 8u 23m

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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Data Science & ML