Navigating Your Data/Analytics Career as a Millennial or Post-millennial
45mBeginner2023-03-10
Authors
Henrica Makulu
Data Scientist, Trainer, Mentor, TechWomen 2022 Emerging Leader
Course details
Millennials and post-millennials have often been accused of lacking patience and endurance in their careers. People say that because they’re always looking for instant gratification, nothing lasting will ever stick. In this course, instructor and fellow millennial Henrica Makulu takes you through the key tenets of thriving in the early stages of your data analysis career, particularly as a millennial or post-millennial.
Get an inspiring, thorough-going overview of some of the most important issues to these two generations, including economic prospects, finding the right job fit, and career advancement for underrepresented professionals. Henrica offers insights drawn from her own experiences as a young African data science professional. Upon completing this course, you’ll be equipped with new skills to successfully navigate your professional life and find meaningful connections in the data community.
Get an inspiring, thorough-going overview of some of the most important issues to these two generations, including economic prospects, finding the right job fit, and career advancement for underrepresented professionals. Henrica offers insights drawn from her own experiences as a young African data science professional. Upon completing this course, you’ll be equipped with new skills to successfully navigate your professional life and find meaningful connections in the data community.
Skills covered
Data Science FoundationsTech Career SkillsCareer ManagementCareer DevelopmentPersonaCybersecurityCloud ComputingData ScienceSoftware Development
Concepts
0. Introduction
- 01 - Your data career as a millennial or post-millennial
1. Millennials and Their Careers
- 02 - What is a millennial and a post-millennial
- 03 - Are we really what they say we are
2. How Do You Know a Data Career Is for You
- 04 - Finding your happy place
- 05 - Data career options
3. General Lessons from the Journey of a Young African Data Professional
- 06 - Mistakes to avoid in your early career
- 07 - The art of being teachable
- 08 - The art of knowing your strengths and weaknesses
- 09 - The art of going beyond average
- 10 - The art of being a problem solver
- 11 - The art of consistency
- 12 - The art of failing
- 13 - The art of building a network
4. Data Career Lessons from the Journey of a Young African Data Professional
- 14 - Find out what it is and what s trending at the time
- 15 - Identify a data problem that needs solving
- 16 - Build a portfolio
- 17 - Select your tools and continue building your toolkit
- 18 - Educate yourself - Understand the benefits of formal and informal education
- 19 - Create a good resume
- 20 - Join or build a community and more
5. Continuing Your Data Career Learning Journey
- 21 - Next steps navigating your data career
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