Most of them should be peer reviewed and reasonably current. With the ones that aren't, be cautious what you rely on them for. You can sometimes use non reviewed sources to link you to reviewed sources.
The best way to figure out whether you have a viable topic is to try and write research questions for it. If you can write a main research question and 3-5 sub questions fairly easily, you have something that can likely work.
While the population idea may use a lot of data, luckily a lot of data and research already exist. Also, don't worry about the length. The different sections all have to have their own introductions and conclusions, and have to address each of the research questions. It gets very repetitive, and the page count rises quickly.
The best way to figure out whether you have a viable topic is to try and write research questions for it. If you can write a main research question and 3-5 sub questions fairly easily, you have something that can likely work.
While the population idea may use a lot of data, luckily a lot of data and research already exist. Also, don't worry about the length. The different sections all have to have their own introductions and conclusions, and have to address each of the research questions. It gets very repetitive, and the page count rises quickly.
NanoDegree: Intro to Self-Driving Cars (2019)
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)
PLA Tips Thread - TESU: What is in a Portfolio?
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)
PLA Tips Thread - TESU: What is in a Portfolio?