
#239: Non-Technical Backgrounds in the Modern Analytical World with Kirsten Lum
The Analytics Power Hour
Embracing Data Analytics: From Excel to Python
The chapter explores the transformative experience of transitioning from Excel to Python for data analysis, emphasizing the importance of personal initiative and following passions. It discusses the challenges faced by analysts in adapting to new analytical techniques, the necessity of continuous growth, and the risk of getting distracted by trendy tools. The speaker shares insights on overcoming imposter syndrome and lack of confidence when transitioning to the technical side of analytics from a non-maths or stats background.
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