MB
Excellent course for Learning SQL and important Data analytics, Course well structured for learning we have been provided most useful link to understand cocepts and become expertise in SQL

This is the fifth course in the Google Data Analytics Certificate. In this course, you’ll explore what it means to actually analyze your data. You’ll take what you’ve learned up to this point and apply it to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations with your data to address business objectives. You’ll learn how to use formulas, functions, and SQL queries as you conduct your analysis. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Learn how to organize data for analysis. - Understand the processes for formatting and adjusting data. - Explore how to aggregate data in spreadsheets and by using SQL. - Use formulas and functions in spreadsheets to make data calculations. - Learn how to complete calculations using SQL queries.

MB
Excellent course for Learning SQL and important Data analytics, Course well structured for learning we have been provided most useful link to understand cocepts and become expertise in SQL
MK
Phenomenal course and course instructor! You have made the complex SQL queries quite easy to understand and follow through. Great job!Notably, some of the video lessons had very low volumes.
SI
This course is very great for gaining hands-on experience with SQL, as well as instilling the critical thinking skills essential to the data analysis process. Definitely worth the pricetag.
TK
An excellent course for learning analysis techniques using Spreadsheets and SQL. Recommended for all engineering and data science students as well as for those managing businesses and human resource.
HS
This course needs time to take in information - some of the materials are very technical, but can be mastered with the right amount of practice. Highly relevant content for data analytics!
DM
The course was great with a lot of practise sessions to master the concepts taught. The instructor also did a great job in demistifying concepts using the most simple language as possible.
JC
alot harder than the other courses but it was still goodsome of the data sets you have to work with is outdated or isnt there on Big query other tha that all was good i learnt alot and enjoyed myself
VA
Thank you coursera for this course, it covered many things and helped me learn a lot. I loved the instructor just that her voice was a bit too low but other than that it was wonderful. THANK YOU
JH
A great segment of the overall course. For a total beginner I learned a lot. Moves kind of quickly over some of the subjects but they are trying to cover a lot of ground in a short space of time.
DG
The course content is really good however the course challenge was a bit too easy. A bit tough questions would have made us more accustomed to the different tools we have learnt in this course
IB
Great and thorough demonstration of how the data analysis process is completed through the implementation of different calculation functions in spreadhseets and SQL. Thanks for creating it.
DV
I have been using spreadsheets for years but learnt a few new tricks which was great! Good introduction to SQL - however obviously very BigQuery focused - learnt a lot about SQL overall.
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This module is honestly very badly made.
Firstly, there is a lack of explanation on more complex queries.
Secondly, some of them do not work and give syntax errors even after trying multiple times.
Thirdly, I encountered a question on the weekly challenge that was marking the right answer as wrong and suggesting the wrong one was correct.
There are a lot of similar complains in the week 4 of this module in the discussion. For an important module that is heavily covered in SQL, it should have been better made. Unfortunately, I will have to redo SQL in a different course to learn better.
Does the instructor even know that this is a course for beginners who have zero experience with SQL ? She was too fast in SQL Queries, and she wasn't even explaining why and what is she doing, frankly you could've added all SQL videos without any commentary from her and it wouldn't have a made any difference.
Will have to study SQL from a different source. Very poorly put course.
although the reading material is very well constructed, but in that particular course all video materials were useless to me; the instructor talked so fast, she went through complicated formulas and queries with a very quick pace making it impossible to follow with her
It is the worst course amongst all courses of this certificate..
This is definitely the weakest course in this specialization so far which is telling, because the whole package and concept has been extremely bad so far. Please be aware that you will not learn how to analyze data, in spite of the title. You will learn about a bunch of – useful, I admit – formulas and functions, but there is no mention how to read the results you receive and what are they telling you. Please note the use of the word “about” in the previous sentence. This is deliberate. You will not learn how to use the functions, different situations they might come useful etc. They are shown with no context whatsoever. This applies mostly to the SQL commands. We are bombarded with more and more complex functions with absolutely no explanation, and the quizzes and challenges openly instruct: copy and paste this command and see what happens. Google evidently has zero respect for the students and just wanted to join the mass MOOC hysteria that started during the pandemic.
I have no idea who is the target audience for this specialization and this course in particular. On one hand, they treat you as if you’d never seen a spreadsheet or even a number before, on the other, in order to understand certain topics you need to already be an expert. I really don’t understand why didn’t google create separate courses for SQL and spreadsheets using the BigQuery and Google Sheets respectively. Instead, we have this vague and pointless division into “preparing data for exploration”, “cleaning data” etc. that is generally superficial and repetitive.
Well, we didn't answer many questions in that course. We did, however, get the copy/past SQL queries, watch presenters write SQL queries, putting more effort in spelling out the name of the database that they were querying than actually explaining the query itself. Oh, yes, and at one of the labs, we did get to see a solution which was incorrect and made no sense.
The difficulty level has gone up so high from the previous module.
It was quite difficult to follow on some part of the module.
I'm a little disappointment in the teaching format here - it seems like there should be more structure and repetition of concepts. I was really discouraged in Week 1 where the Qwiklabs project was totally out of scope for the rest of the Week 1 syllabus - I found myself copying and pasting SQL without any context about meaning. I feel that there should be a whole module of videos about just using some of the Spreadsheet and SQL functions via elementary case studies. I understand everything in the moment and pass the tests, but I don't feel like this necessarily prepares me for the job.
Courses 1-4 all had great flow. Each course left me with the feeling of building towards the next step in the data analysis process. This course fell short of that. Compared to the preceding courses, this course came across as disorganized and most of the lessons simply reviewed skills presented in previous courses. For the course focused on the analyze step of a data analytics certificate, I expected much more than a scattered review of previous concepts.
Some part of the course goes into very basic and some part of the course goes to advance part very fast.
Entire course Audio is too low.
The course contains very basics of Data analysis.
Could use some work - possibly spending more time breaking down the SQL sections and rearranging the order of some of the videos/readings.
Pace is too high, sometimes you need to use external resources to supplement the course material.
There are lack of practices on session of subqueries.
This course is honestly very weak. It's very inconsistent. The volumes of the videos keep changing between high and low.
The instructor jumps from nested SQL queries to very basic function of SUM in spreadsheet in the next video.
Also, I don't understand why the course keeps jumping between spreadsheet and SQL. It would've been much better to cover one first completely before moving on to the next one. Changing the software continuously kills the momentum completely.
This course failed in terms of explaining the more complex SQL queries. The instructor did not explain the logic behind some of her queries, made too many mistakes, and the hands-on assignments were all about copying and pasting. Also, the reflect questions were too repetitive and meaningless.
Questions aren't being answered. We aren't able to get direct answers on specifics. It feels like no one is manning the course.
Information seemed to be hodgepodge at times. Oddly put together and had the feeling of being crammed.
My hands are not dirty in SQL
This is probably the least interesting course in the series so far. It only revolves around more processes to manipulate and clean data without giving insights in actual analysis. I think it wouldbe great if it included some tools for searching for correlations, the differetn types of relationships among variables (linear, logarithmic, exponential, etc.), discussing about correlation and/or causation, etc., two variables relationships and multiple variables relationships, and so on.
There needs to be a QA review of the quizzes for Course 5. Some of the quizzes mark correct answers as wrong. I have literally plugged a formula into a spreadsheet (ie, vlookup section) or tested a SQL query with my own data set and I was able to get the correct answer, but it was marked as wrong on the quiz. Other quiz questions just didn't make much sense, like a question where a group by clause was supposed to be used but the group by field wasn't included in the select statement. The errors/inconsistencies are frustrating. I didn't have these problems with courses 1 - 4.