10 Things You Need To Build For A Successful Data Career - Lessons Of The Past 30 Years
What You’ll Learn From This Episode
- Why you should pursue a career in data
- The best thing about being a statistician is that you get to play in everyone's backyard. – John Tukey
- Why data is the new oil
- Data analyst vs. data scientist: what's the difference?
- Dress for the job you want, and not the job you have
- 10 things you need to have a successful data career
- Two traps to avoid: focusing on passive learning and building skills only for your current job
- There’s a lot to learn from messy, dirty data
- If you can’t communicate the results of your analysis clearly, the quality of your analysis won’t matter
- Do not talk over your audience’ heads, and do not talk down to them
- When making a portfolio, focus on the outcomes and not on the activities
- If you don't have a portfolio, join the Enterprise DNA Power BI Challenges
- Always think of how you can create value for the people in your network
- Work with mentors and coaches, and have truth-tellers to give you the right perspective
- Why formal credentials are overrated
About The Show
The Analytic Mind podcast provides an opportunity to learn from a diverse range of global data leaders. Hosted by Sam McKay, CEO of Enterprise DNA. Covered will be a range of data and analytics topics keeping you up to date with recent trends, organizational challenges, and opportunities for innovation in this exciting space.