Roadmap for Transitioning to Data Analytics in 2023

Master Python for AI Projects 👉 https://python-course-earlybird.framer.website/
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👉 Info about CareerFoundry:

📊Get 20% off CareerFoundry’s full Data Analytics Bootcamp 👉🏼 https://bit.ly/3SwLEZi (discount valid through the end of 2024)

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🖥 CareerFoundry's free short course https://bit.ly/3CuKODQ
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🌐 Luke Barousse' data job website: https://datanerd.tech/
🧾 Research paper about Labor Market Impact Potential of Large Language Models: https://arxiv.org/pdf/2303.10130.pdf
👔 Need help with preparing for your next data science interview? Use referral code ‘thuvu’ to get 10% discount on any of the offerings on datainterview.com

👩🏻‍💻 COURSES & RESOURCES
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📖 Google Advanced Data Analytics Certificate 👉 https://imp.i384100.net/anK9zZ
📖 Google Data Analytics Certificate 👉 https://imp.i384100.net/15v9y6
📖 Learn SQL Basics for Data Science Specialization 👉 https://imp.i384100.net/AovPnJ
📖 Excel Skills for Business 👉 https://coursera.pxf.io/doPaoy
📖 Machine Learning Specialization 👉 https://imp.i384100.net/RyjykN
📖 Data Visualization with Tableau Specialization 👉https://imp.i384100.net/n15XWR
📖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0
📖 Mathematics for Machine Learning and Data Science Specialization 👉 https://imp.i384100.net/LXK0gj
📖 Applied Data Science with Python 👉 https://imp.i384100.net/gbxOqv

With the ever-increasing amount data in all industries and rapidly developing data science landscape, skilled data analysts are high in demand. In today's video, we'll be revisiting the skills and fundamental knowledge required for a data analyst. I hope this video is helpful and thank you for watching! 🤗

🔑 TIMESTAMPS
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0:00 - Intro
0:13 - 2 ways to transition to data analytics
1:21 - What does a data analyst do?
3:07 - Required skills for a data analyst
6:00 - How to learn these skills & Tips
9:09 - Data analytics bootcamp (CareerFoundry - Sponsor)
10:32 - Building a data analysis portfolio
12:40 - Approaching recruiters
15:16 - How AI will affect data analyst jobs
17:27 - Conclusions/ outro

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