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EP01: The Path to Data Analysis - Then and Now. Includes Data Science roadmap || Being An Analyst
Hi Fellow Analyst, Have you always wondered about what it takes to be a data analyst or data scientist? Wonder no further. In this episode, I break down what I did back in 2010 to be in data analysis. I have found words online and I do agree to some extent that the below is crucial;
1. Math Fundamentals
2. Learn Programming
3. Data Wrangling and Visualisation and
4. Statistics and Probability
If you love insights like this, consider subscribing to our bi-weekly newsletter and WhatsApp group for daily insights or purchase our books on Amazon to grow the community
• Subscribe via Email: https://newsletter.beingananalyst.co.za/
• Join Analyst Chat on WhatsApp: [https://chat.whatsapp.com/JKBpoKrHO2xEkytlWtujGn]
• Books on Amazon: [https://amzn.to/4d6bX0K]
This podcast is dedicated to discussing the following: Analysis mindset, Data analysis, Career tips/ Career advice, Analyst career, Business analysis, Financial analysis, Analyst training, Analytics, Industry 4.0/4IR, Business intelligence, AI in business, Financial Reporting, Career development, Data science, IT strategy, Professional development, Analysis for SMMEs, and Data Industry trends
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By Lisema MatsietsiHi Fellow Analyst, Have you always wondered about what it takes to be a data analyst or data scientist? Wonder no further. In this episode, I break down what I did back in 2010 to be in data analysis. I have found words online and I do agree to some extent that the below is crucial;
1. Math Fundamentals
2. Learn Programming
3. Data Wrangling and Visualisation and
4. Statistics and Probability
If you love insights like this, consider subscribing to our bi-weekly newsletter and WhatsApp group for daily insights or purchase our books on Amazon to grow the community
• Subscribe via Email: https://newsletter.beingananalyst.co.za/
• Join Analyst Chat on WhatsApp: [https://chat.whatsapp.com/JKBpoKrHO2xEkytlWtujGn]
• Books on Amazon: [https://amzn.to/4d6bX0K]
This podcast is dedicated to discussing the following: Analysis mindset, Data analysis, Career tips/ Career advice, Analyst career, Business analysis, Financial analysis, Analyst training, Analytics, Industry 4.0/4IR, Business intelligence, AI in business, Financial Reporting, Career development, Data science, IT strategy, Professional development, Analysis for SMMEs, and Data Industry trends