Data Science Basic | Capstone Project & Career Path by Diljeet Singh | Learn Smarter
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Capstone Project & Career Path

This chapter emphasizes the importance of practical experience and demonstrates how to apply the data science process through a capstone project. It covers building a robust portfolio to showcase skills and outlines various career roles within data science. Additionally, it provides guidance on preparing for job interviews and offers resources for continuous learning and certification.

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Sections

  • 1

    Capstone Project – Apply What You Learned

    This section focuses on applying data science principles through a capstone project while preparing for a career in the field.

    Learning Practice

  • 1.1

    Project Ideas

    This section provides a variety of project ideas for applying data science concepts in real-world scenarios, including techniques for model building and evaluation.

    Learning Practice

  • 1.2

    Capstone Process

    The Capstone Process entails applying the data science process in a practical project, from defining problems to presenting findings.

    Learning Practice

  • 2

    Building Your Data Science Portfolio

    This section focuses on the essential components for creating a professional data science portfolio.

    Learning Practice

  • 2.1

    What To Include

    This section provides guidance on essential components for building a professional data science portfolio.

    Learning Practice

  • 3

    Career Roles In Data Science

    This section outlines the key career roles within the data science field, detailing their primary responsibilities.

    Learning Practice

  • 3.1

    Role Descriptions

    This section outlines the different roles within the data science field, focusing on their primary responsibilities.

    Learning Practice

  • 4

    Certifications & Learning Resources

    This section covers key certifications and learning resources in data science to enhance your skills and career prospects.

    Learning Practice

  • 4.1

    Recommended Certifications

    This section outlines recommended certifications for those pursuing careers in data science, enhancing employability and validating skills.

    Learning Practice

  • 4.2

    Books

    This section highlights essential books and learning resources for furthering skills in data science.

    Learning Practice

  • 4.3

    Platforms

    This section introduces various online platforms where learners can engage with data science courses and resources.

    Learning Practice

  • 5

    Interview Preparation Tips

    This section provides essential tips for preparing for data science job interviews, emphasizing technical and soft skills.

    Learning Practice

  • 5.1

    Key Areas To Focus On

    This section outlines essential areas for successfully completing a capstone project and preparing for a career in data science.

    Learning Practice

  • 5.2

    Practice Suggestions

    This section outlines the vital components of undertaking a capstone project and building a career in data science.

    Learning Practice

  • 6

    Chapter Summary

    The chapter summary encapsulates the key takeaways from the capstone project and provides a roadmap for a successful career in data science.

    Learning Practice

References

Chapter 12_ Capstone Project & Career Path.pdf

Class Notes

Memorization

What we have learnt

  • The capstone project is an ...
  • A well-structured portfolio...
  • Data science offers diverse...

Revision Tests