@KenJee_ds
Great video! As an established data scientist myself, this is definitely an accurate data science project lifecycle; however, I almost never go through all of these steps in the same day. You can spend whole days just cleaning data, tuning models, or putting things into production. The work that you do can also vary by company, some data scientists only work on part of that lifecycle just doing exploration and modeling or modeling and productionization. I have a few videos on my channel that complement this one nicely for those interested!
@marktangney89
Excellent video, I think I've got it now. Data Science is when someone is a BA and is also a peddler for particular software or applications.
@SimplilearnOfficial
Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!
@JosephRivera517
This is really a very clear presentation of what really goes with a data science project from the very beginning. However, things do not happen very easily. There are a lot of challenges that you have to deal with. In data cleaning alone, the time that you use can be overwhelming.
@arunganesansivakumar4397
I wish I have had known this before 5 years! :)
@VeronicaSanchez-gz2xx
Was curious...now I know it is not the job for me. Thank you for this video!
@aljhonbautista1344
I currently studying BS Data Science in the Philippines. Thank you for this video.
@ronmudoola
It's so encouraging
@charankumarreddy6497
One of the most useful vedio I watched...
@aswathica508
A very interesting intro to data science. I want to learn the step data cleaning more deeply. It would be very helpful if you could make a vedio on that. Thanks!
@nyangacamara3279
The course has helped me boost my career. After the certification, I was selected for so many posts. Now, I am getting more responsibilities and the spectrum of my work has broadened.
@anilkumar-zd5bd
it was a great overview of all the process. it would be great if we get more videos on DATA PREPARATION, EDA. various methods for different scenarios.
@charleshoots4720
Great video. You did great explaining this. That said, I would argue that it can never be overstated how extremely rigorous you must be in the earliest steps. Specifically data acquisition and cleaning. Mistakes in these steps will often corrupt every subsequent step in your research. Furthermore, it is these earliest steps that are the hardest if not impossible to correct if mistakes are found. Do some field work, say NSF or an FFRDC gives you 2 million dollars for it. Go out into the field and unknowingly bring the wrong brand of batteries for your solar panels that you don’t figure out until your back? Oh well. This seemingly tiny and innocent mistake turns a long lived project of monitoring an area into a very short lived one when the battery dies. All the clocks on your instruments are not correctly synced by gps and you have timing errors now? Now we have absolutely horrible data that needs to be cleaned! THE FIRST TWO STEPS (ACQUISITION AND CLEANING) ARE SO IMPORTANT!!!!!
@DramaticSeolShivi
Thankyou for this great video, I plan to choose data science as my specialization in college now :)
@madhusudhanarajupandeti5724
Thank you for the video.....it helped me a lot.....😊☺️😎😘👍
@fireemblem2770
Your videos are what is getting me the necessary introduction to data science. Thank you so much!
@D_-hi8er
Thank you..For give us the intro of Data Science..Now I'm very excited to learn this course by your video..Once again Thank u lot Respected..!!
@extinct0111
I just want to Thank you so much for this video❤❤❤ I dont know what the future holds for me,but i hope my interest for this might come true.
@poojithapooja393
Thank u for ur explaination
@SimplilearnOfficial