Course Introduction and Overview
Data Science Career Readiness Training
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Course HomeLesson 1 - Preparing for Data Science InterviewsAssignment 1 - Technical Practice Sheet Lesson 2 - Crafting a Job Winning ResumeAssignment 2 - Data Science Resume(s) & Hiring ProfileAMA - Aakanksha N S, ML Engineer at SnapLesson 3 - Building Your Professional ProfileAssignment 3 - Improve Your Professional ProfilesLesson 4 - Applying for Jobs the Right WayAssignment 4 - Cold Emails and Cover LetterAMA - Aditya Prasad, Principal Data Scientist at Dream11Lesson 5 - Improving Interview Skills Lesson 6 - Communication Basics & Impromptu Speaking AMA - Kartik Godawat, Founder & ML Consultant, DeepKlarityLesson 7 - Business CommunicationLesson 8 - Mock Interview and Graduation DayAssignment 5 - Data Science Mock InterviewAMA - Nishant Poddar, Data Engineer at SolitaAssignment 6 - Graduation Day Presentation & VideoResearching Data Science Job RolesFinding Part-Time and Freelance WorkRejection, Feedback and Improvement
The following topics are covered in this lesson:
- Challenges in making a career transition
- Overview of resources shared in the course
- Common mistakes and how to avoid them
aakashns/career-readiness-training-introduction
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