•1 min read•from Data Science
Could really use some guidance . I'm a 2nd year Bachelor of Data Science Student
Hey everyone, hoping to get some direction here.
I'm finishing up my second year of a three year Bachelor of Data Science degree. I'm fairly comfortable with Python, SQL, pandas, and the core stats side of things, distributions, hypothesis testing, probability, that kind of stuff. I've done some exploratory analysis and basic visualization + ML modelling as well.
But I genuinely don't know what to focus on next. The field feels massive and I'm not sure what to learn next, should i start learning tools? should I learn more theory? totally confused in this regard
[link] [comments]
Want to read more?
Check out the full article on the original site
Tagged with
#data visualization tools
#data analysis tools
#generative AI for data analysis
#conversational data analysis
#Excel alternatives for data analysis
#intelligent data visualization
#big data management in spreadsheets
#rows.com
#real-time data collaboration
#enterprise data management
#big data performance
#data cleaning solutions
#self-service analytics tools
#machine learning in spreadsheet applications
#business intelligence tools
#collaborative spreadsheet tools
#financial modeling with spreadsheets
#Data Science
#Python
#SQL