Data Scientist Professional Certification Prep (Google / IBM) (BG) course
Data scientists are one of the highest-growth occupations of the decade (+34% through 2034, median pay $108,020). This course targets the two most employer-recognized entry-to-mid-level data science credentials: the Google Professional Data Analytics Certificate and the IBM Data Science Professional Certificate. Practice questions cover five core competency areas: data wrangling and cleaning, exploratory data analysis, statistical analysis and hypothesis testing, machine learning model development and evaluation, and data storytelling with visualization. Questions reflect the style of capstone assessments and employer technical screens.
Modules in this course
Data Scientist Professional Certification Prep (Google / IBM)
Prepare for professional data science certifications from Google and IBM with practice questions covering statistics, Python/SQL data manipulation, m…
Data scientists are one of the highest-growth occupations of the decade (+34% through 2034, median pay $108,020). This course targets the two most employer-recognized entry-to-mid-level data science credentials: the Google Professional Data Analytics Certificate and the IBM Data Science Professional Certificate. Practice questions cover five core competency areas: data wrangling and cleaning, exploratory data analysis, statistical analysis and hypothesis testing, machine learning model development and evaluation, and data storytelling with visualization. Questions reflect the style of capstone assessments and employer technical screens.
