Super Data Science: ML & AI Podcast with Jon Krohn 623: Data Analyst, Data Scientist, and Data Engineer Career Paths
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Nov 1, 2022 Shashank Kalanithi shares insights on starting a YouTube channel on data science, differences between data roles, applications of data in sports industry, and needs divide between digital native and traditional companies.
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Get An Analyst Job Fast With Weekend Learning
- Learn a BI tool, SQL, and Excel quickly to break into analytics and then add Python to expand your value and pay.
- Shashank: Tableau in a weekend, SQL ~2 weeks, Excel pivots/VLOOKUPs quickly, then build Python on the job.
Develop Soft Skills To Escape Analyst Terminal Roles
- To advance from junior to senior analyst, practice requirements gathering, project management, presentation, and prioritization skills.
- Shashank warns senior roles become terminal without these soft skills and you must also show willingness to learn.
Data Science Requires Longer Deep Thinking Than Analytics
- Data scientist work is more mentally rigorous and often requires deep, prolonged thinking; many roles prefer candidates with master's degrees.
- Shashank moved from analyst to scientist by demonstrating data-science work on the job without a master’s degree.