Are you struggling to find meaningful learning support in the data analytics field? Tired of the same ineffective advice and lacking the right connections to make a difference? Join us in this episode and learn how to unlock personalized learning support with data communities and AI technology – finally advancing your skills and career in data science.
In this episode, you will be able to:
- Establish close-knit communities for individualized learning support in the realm of data analytics.
- Elevate your worth as a data professional by mastering Python's adaptability and AI potential.
- Attract employer interest with striking data analysis projects featured in your portfolio.
- Integrate AI technologies, such as Chat GPT, to revolutionize your data analytics learning experience.
- Overcome the isolation of freelancing while forging meaningful connections and mentorship within the data industry.
Kedeisha Bryan is a dedicated data professional who has made a significant impact in the field of data analytics in just two years. With a background in senior data engineering at Booz Allen Hamilton, Kedeisha has a wealth of experience in various aspects of data analysis, data science, and data engineering. She began her journey in data analytics by self-studying SQL, Tableau, and Excel, which led to a year-long full-time internship and eventually to her current position. Kedeisha is the founder of Data in Motion, a thriving private community for data enthusiasts that offers personalized learning support and resources.
For full show notes, and the links mentioned visit: https://www.enterprisedna.co/podcast
Be our guest, register here: https://www.enterprisedna.co/be-our-podcast-guest/
Connect with Kedeisha Bryan:
LinkedIn: https://www.linkedin.com/in/kedeishabryan/
Website: https://kedeisha1.github.io/
LinkedIn Page: https://www.linkedin.com/company/data-in-motion-llc/
Website: https://linktr.ee/data_in_motion
Connect with Sam McKay
Website: https://www.enterprisedna.co/LinkedIn: https://www.linkedin.com/in/sammckayenterprisedna/
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