Google ADVANCED Data Analytics Certificate …Worth it?

is Google's Advanced data analytics worth it in  2023 well we're about to find out Google's first   data analytics certificate launched back in 2021  and it immediately took off not because it had   Google's name on it well partially but because  of the Simplicity and it being affordable and   although the certificate was a hit there were two  major drawbacks that a lot of data professionals   called up including myself number one that it was  too introductory and number two that it teaches   an R yes teaching in R was actually a big deal  in fact a lot of people chose not to take the   certificate because of our no I'm not kidding it  seems like Google took notes and two years later   Google has launched the advanced data analytics  certificate that addresses everything we asked   for yes it does teach in Python we're going to  start with the course overview then I'm going to   talk about who should take the certificate and  who should not some of my tips for taking the   certificate what could be better this certificate  is by Google available on Coursera and although   this video is sponsored by Coursera like my  other previous videos I'm going to share my   honest opinion in this video as well so the way  they launched this certificate is that they made   it part one which was the original certificate  and this is kind of like a part two there's   a part three as well because they introduced  another certificate called business intelligence   certificate along with the advanced certificate  I'm not going to talk about the bi certificate in   this video you can watch one of my shorts where  I covered it in detail but in this video we will   be talking about the advanced data analytics  certificate the Advanced Data certificate is   targeted towards data analyst and data scientist  basically they suggest that It prepares you for   senior data analysts Junior data scientists and  data science analyst oh I don't even know that was   a role data science analyst huh never heard of it  there's so many the tools that are included in the   advanced data analytics certificate are Jupiter  notebook python Tableau Google anticipate that   there are 144 000 job openings in advanced data  analytics obviously I want to look at the source   where they got this data from and they also claim  that the median salary for an advanced data and   analytics is hundred and eighteen thousand again  I definitely want to look at to this Source where   they got this data from in this certificate  they estimate that it's going to take three to   six months to complete the certificate and you  get to learn about regression analysis python   translating data statistics and machine learning  okay that sounds cool the prerequisite for this   course is the first data analytics certificate  now they won't force you to complete the first   data analytics certificate but the advanced  version is recommended for people who have   taken the first data analytics certificate okay  so now let's go back to the source where they I   want to understand where they see the job openings  and median salary especially in the current market   so let's take a look so they got this number  from lightcast us job posting over the last 12   months which is Jan 1st 2022 December 31st 2022.  so lightcast is a labor market analytics basically   that's where they got the job opening numbers  as well as the salary numbers so let's go to the   certificate so I'm going to click and go to the  Coursera page and I have already enrolled in the   certain Advocate as you can see there are about  seven courses in the certificate itself it starts   with Foundation of data science gets started with  python go beyond the numbers translating data into   insights statistics regression analysis nuts and  bolts of machine learning Google advanced data   analytics Capstone unlike the first certificate  which was focused more primarily on data analysts   it seems like they introduced a few Concepts  that are targeted toward data scientists role   so I think I'm still trying to figure out if this  is targeted toward data scientist or if this is   targeted toward data analysts focusing on Advanced  analytics I guess like it all goes into how the   data science job family needs a little bit of work  because it's not defined there is there is such a   Gray Line anyways this seven courses make about  177 hours of learning with stats being 33 hours   and I'm really happy that they spend a lot of time  on statistics and regression as well 28 hours on   regression and 28 hours on machine learning  which is super awesome okay so as promised   let's actually go inside the course I wanted to  go through the python course that gets started   with python because as I mentioned earlier R was  actually a big deal that the last certificate was   taught in R so this one is teaching in Python  so let's take a look and see like what exactly   are they covering okay so let's look at the  syllabus so in the syllabus they basically   start with the hello python it seems like it's  pretty basic pretty introductory somebody who   doesn't have experience um it goes into functions  and conditional statements that's the second week   third week is Loop and strings fourth week is  data structures in Python so the last week is   basically the project that you have to do in order  to complete the course okay so basically this is   what the course looks like in Python so let's  start with the week four it basically starts   with the video then it goes into data structure in  Python this is the reading material then there is   a lab okay I definitely want to take a look at the  lab and see what it is so the lab is basically the   integration with the jupyter notebooks inside  Coursera so you can be basically get to run   the Jupiter notebooks within Coursera which is  pretty cool I like this I like the integration   it's really cool going back to the course again  so then again it's like some videos and then it   goes into lab so basically it teaches you some  video material gives you some reading and then   it takes you to the lab okay I really really like  this because you get to have Hands-On practice   so one thing I'm noticing is that given that this  is integrated with Jupiter notebooks and not like   those other tools like coding practicing tools  that basically give you a solution and if you get   stuck in this case I believe that you actually  have to figure out and fix it yourself because   in a Jupiter notebook I don't see any option where  you are like okay I give up now give me a solution   I don't think that's going to be an option so  that's something you have to figure out on your   own or use the discussion forums to figure it out  and honestly I think like this is the right way to   do it because once you get stuck on a problem  you're actually going to end up learning more   than you would learn if you were given automated  solution it might be frustrating but it's actually   the right way to learn how to code and linking the  third F gate in the description below feel free to   check it out so in terms of who should take the  certificate and who should not let's talk about   who should not take the certificate if you are  just starting out in data analytics and you have   zero understanding basically you're coming from a  very different domain and you don't have the basic   foundation and I would not suggest you to start  with this certificate as the first introduction   to data analytics because if this does go a little  bit Advanced so I would suggest you to either take   the first data analytics certificate or take  another option watch some YouTube videos and   other resources a lot of material available out  there to get like the basics of data analytics   and then come to this one and who should take the  certificate basically it's the opposite of that if   you already are familiar with the data analytics  space and you want to advance your skills you want   to Now understand statistics you want to Now  understand coding in Python and want to get   a flavor of machine learning this course does go  into machine learning but it doesn't go into a lot   of detail and this will give you a flavor of what  machine learning is like and what statistics you   need to know so if you want to advance your skills  in the data analytics domain definitely consider   they also tagged data scientists role I would say  like this introduces you to data science but it   doesn't go deep I believe that you need to have a  little bit more in-depth understanding of machine   learning and statistics for a data scientist role  if you're like very new like then consider it but   if your goal is to become a data scientist then I  would consider other options besides this because   this is targeted toward Advanced analytics and  that's what the course is basically named some   other people who should not take the certificate  is if you don't like the video based style I know   some people prefer reading the courses material  there's a lot of videos in the course if you don't   like the video style then consider other options  okay so my three tips for taking the certificate   the number one tip that I would share here is that  when you're taking this course it's possible that   you're going with the flow and you take watch  one video watch the second video and when you're   watching those videos It's Gonna seem like that  you're learning but when you go into the real   world and start playing the same kills that were  talked about in the video You're Gonna struggle   so this is something that is called tutorial trap  I did not come up with this this was some I read   it somewhere on Twitter basically the idea is  that you keep watching tutorial after tutorial   after tutorial tutorial that's a tongue twister  it makes you think that you actually got it but   when you actually go and saw try to solve the  problem on your own you run into so many issues   that weren't even discussed in the video then  now you're like okay I don't even know like I   watched the tutorial it seemed like I got it but I  actually didn't so the way to avoid tutorial trap   is like take pauses slow down and get hands-on  experience after each concept and the best way   to do that is build projects when you take the  certificate this course will introduce you to   projects so I would suggest to do this project in  the certificate but also do additional projects   outside of the certificate you will get a very  good idea what uh Advanced data analytics project   looks like after finishing this certificate you  can Define your own data analytics project and get   more hands-on experience so the knowledge that  is with you is and it's still a device and the   second advice I would say here is like don't brush  it take pauses very unique consult other resources   let's say if you don't understand and there is  a concept of causal inference in the certificate   and you don't understand because there is only  a 15 minutes of video that is talking about it I   would suggest to go consult other resources read  a Blog watch some videos watch some additional   consult additional resources to solidify the  knowledge on the subject before moving on because   the certificate is introducing you to a lot of  things at once it's not able to go deep so it's   your responsibility to take pauses and understand  the concepts fully before moving on okay so those   are my tips for taking the certificate in terms of  what could be better in the certificate yes I have   a few things that I wish the certificate would do  better so this certificate is touching on three   major areas one python second statistics third is  machine learning all these three concepts are very   very important for advanced data analytics and  entry-level data scientist role given that it's   targeting all three subjects in one certificate  it is touching on a lot of subjects at a higher   level and because it's covering so many Topic  in one certificate it's not able to go deep I   truly believe that in order to really build your  foundational knowledge you have to go deeper into   specific topics and this certificate if you're  not familiar with this subjects this certificate   will introduce you to those ideas but you will  have to consult other resources you'll have to   take more in-depth courses in order to build  your knowledge on specific topics for example   one of the topics that is super popular in  machine learning is k-means clustering the   certificate touches on this topic but it doesn't  go into as detailed as I would like it to go so I   believe that you will learn what k-means is in the  certificate but you'll eventually have to do some   additional courses to build in-depth knowledge  on k-means clustering and other subjects one   of the other subjects that is very important  in advanced analytics is experimentation and   causal inference the certificate does go into  experimentation and causal inference but in   order to truly become a subject matter expert  you will have to take additional resources that   are specifically targeted toward going deeper into  causal inference the other drawback that I can see   potentially is that now there are two different  certificates teaching data analytics by Google   and both combined is about 364 hours of coursework  material so I do wonder if there is a possibility   of combining these two certificate into one so  it can save time for anybody who is taking the   certificate and by condensing some of the material  because if you were to take both of these courses   364 hours is a lot of learning material so I do  wonder if that can be condensed to a shorter time   period and into one certificate possibly so these  are some of the things that I wish the certificate   could improve but overall I believe it does a  really really good job introducing you to majority   of the advanced analytics Concepts that are  important for our senior data analyst and maybe   entry-level data scientists as well all right with  that thank you so much for watching this is all   I wanted to say let me know in comments have you  taken the certificate or are you planning to take   it and what are your thoughts on the certificate  specifically the advanced version all right with   that thank you so much for watching I will  see you in the next video have a good one bye

Channel: Sundas Khalid

Views: 46,167

Keywords: data science, data scientist, self-taugh data scientist, tech jobs, big tech, Machine Learning, Python, data science projects, data science tutorials, data science day in the life, AI, big data, data analyst, data analytics, sundas khalid, women of color in tech, people of color in tech, data science 2023, data analyst 2023, google data analytics certification, google certificate, chatgpt, data analytics 2023, google advanced data analytics certificate, coursera, python

Id: 62UeOEzRAiY

Length: 11min 54sec (714 seconds)

Published: Fri May 26 2023