01.01 intro.mkv (8.32 MB)
01.02 what a masters in big data entails.mkv (3.36 MB)
01.03 the importance of data engineering.mkv (12.18 MB)
01.04 how to guide people towards the right solutions.mkv (4.78 MB)
01.05 explaining ab testing to a six year old.mkv (10.03 MB)
01.06 balancing company culture with experimentation.mkv (10.93 MB)
01.07 what aiml lessons emma learned in college.mkv (3.54 MB)
01.08 what is aiml versus deep learning.mkv (9.22 MB)
01.09 how a degree helped emma break into data.mkv (4.92 MB)
01.10 should everyone learn to code.mkv (7.03 MB)
01.11 bi versus data science.mkv (5.74 MB)
01.12 lessons for new data scientist candidates.mkv (3.91 MB)
01.13 how to bring more women into data.mkv (14.68 MB)
01.14 challenges as a content creator in data.mkv (13.27 MB)
01.15 advice for women looking to get into tech.mkv (11.27 MB)
01.16 what a modern data architecture looks like.mkv (8.74 MB)
01.17 the magical myth of data science.mkv (17.15 MB)
01.18 is social media a good idea.mkv (11.97 MB)
01.19 outro.mkv (791.06 KB)
linkedin.learning.data.infrastructure.and.ai.ml xqzt sample.mkv (3.02 MB)