Five myths about learning data analytics
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The document debunks five common myths about learning data analytics, emphasizing that traditional education is not necessary, math skills are not essential, and data skills are relevant to all job roles. It highlights the importance of data literacy as an enjoyable and creative skill set, while also addressing the misconception that only certain 'types' of people can excel in the field. The content encourages overcoming impostor syndrome and provides references for further reading.
Five myths about learning data analytics
- 1. Five myths about learning data analytics
- 2. 1. “I need to go to school for that” • Academia is expensive, often out-of-touch
- 3. 2. “I can’t because I don’t like math” • Data analytics ≠ high school math
- 4. 3. “I don’t need it to do my job” • Nearly every upskilling initiative has a data component
- 5. 4. “I only need it to do my job” • “Data literacy” contains elements of fun & creativity
- 6. 5. “I’m not the right type” • There’s no “geek gene” • You can overcome impostor syndrome
- 7. References • Guzdial, Mark. "Top 10 Myths about Teaching Computer Science." Communications of the ACM, http://cacm. acm. org/blogs/blogcacm/189498- top-10-myths-about-teaching- computer-science/fulltext (2015).