Many distracting grammar errors in the narration, hollow lesson

Hi Zandra!

Thanks for reaching out.

Thank you for your feedback. No video of ours has ever been created with the idea to fill up video time - on the contrary, we have always strived to provide a certain piece of information in the clearest and most concise way possible.

On the contrary, we would like to avoid errors and confusions, of course. Can you please be more specific - what mistakes of ours are you referring to in the given video? 

Thank you.

Looking forward to your reply.

Best,
Martin

Keep in mind that this is a small selection of problematic sentences. And the main issue complicating this script further is the terrible AI reading, which places accents on the wrong syllables and even cuts sentences at the wrong words.
00:43 This step aims to fix the problems that will inevitably occur with data 
gathering, no matter if you are the one collecting the data, or you simply use the 
secondary data source, there will be complications. 
(Should correct "use the secondary" to "a secondary". The closed captions say 
"the secondary," but the AI narrator's words sound like "you simply used a secondary data 
source". Even here, the tenses -- gerund form 'collecting' vs. past-tense 'used' -- 
do not agree. Also, it's a run-on sentence.)

Unreadable values, duplicate records, and poor organization are just a few of the 
examples of the inconsistiencies you are supposed to overcome during this stage. Once 
you have pushed through, your dataset will be in a state appealing to the 
quantitative analyst's eye. (These sentences' structure are unnecesarily repetetive and complex, respectively.
Teachers should strive to break down concepts into shorter, more digestible sentences.  Also, the closed captions read "I" instead of "eye".) 

They will know that the computer can read the information smoothly, which also means
that it can perform statistical and mathematical computations. These happen at the
data preprocessing stage. (The "They" is unclear.)

02:25 This reflects the strong points of the two libraries, which is why we have
mirrored it in our curriculum as well. (What is the word "This" referring to here? 
And the word "it" in "mirrored it"? Subject, verb, and object are not in agreement. It should be "them." 
"This is because these two Python libraries are strong tools". Also, the captions say, "merited in our curriculum".) 

02:48 First, please pay attention to how we have treated
data gathering, cleaning and pre processing as three separate
activities.We've assumed you can only proceed from one to
the other when you've done the expected
relevant work.Although this strategy represents the ideal
analytical flow.We can actually see it only in the first round
of walking all the steps, so to speak in
practice.What happens is that while you're at a certain
stage you might need to go back and fix something before you can proceed.

 (All those flowery words just to say, "So far we've assumed everything will go smoothly in your data process, but sometimes you might need to stop and backtrack.")

Hi Zandra,

Thank you very much for your detailed feedback! I ll keep it in mind for future production. There is no AI reading, and I’m sorry to hear it sounds that way to you. Regarding all caption and text errors you pointed out, I will check them immediately. 

Thanks again, and feel free to post another question if you run into any more issues while taking the courses!

Best,
Martin