hi keerthi, i hope you are doing gud..........pls clarify diff bw data engineer &data scientist, phython sql mandatory for all data related role but data engineerah porathuku some skills like spark ,airflow, snowflake etc..itha mattum prepare pannuna pothuma ..pls clarify this company epdi expect pandraga, thanks
@@MEDITATIONMUSIC-xf4qv Yes I'm great 👍 1.data enginner vs data scientist watch to know the difference - ruclips.net/video/QxN-tSLT6SU/видео.htmlsi=oGGoWgFmtWBByGJy 2. Data scientist - advanced python + SQL basics. Data Engineer - advanced python + advanced SQL 3. To become data engineer - Step 1 - start with python, SQL, spark & DBT (be very strong in all these topics) Step 2 - cover the basics of cloud service providers like AWS or Google Step 3 - either snowflake or databricks. Currently, databricks demand is high. Cover the basics no need of certification and all. Try following youtube.com/@dataengineeringvideos?si=PO2T23z2AtTVYJ7W for more data engineering related videos in tamil. 4. Company expection is mostly on stage 1 skills mentioned above because different companies use different tools (snowflake/databricks) so focus more on step 1. All the best! Hope it is clear now!!
![Statistics for Data Science [Ep - 5]- Normalization Standardization in python| Kaggle intro | Tamil](http://i.ytimg.com/vi/KtCX5Z3NujU/mqdefault.jpg)
![Statistics for Data Science [Ep - 5]- Normalization Standardization in python| Kaggle intro | Tamil](/img/tr.png)
Hi mam I'm on ur road map data analyst here i complete my 4th video will ping on after the end of this series thank you for this roadmap
Great! I really appreciate how you explain the concepts and coney where it is used in DS Life cycle. All the examples were great. Thanks :)
High clarity. Highly professional teaching.
Important topic are explained in a simple method so that easy to understand.
Great. Best wishes.
@@vasutke1187 thank you 💜
Very informative and
Clear explanation. Thanks for the video!
@@gpLiveaDreamofyourLife thank you💜
I found your recent video on normalization and standardization to be very informative and useful.
@@vengateshkr Thank you 💜
Excellent!
@@kezbio thank you 💜
Waiting for epsiode 05 !!
@@ganeshp0019 Here you go - ruclips.net/video/KtCX5Z3NujU/видео.htmlsi=j_wSbPa-m-B-9A8p
Akka tnpsc combined statistical subordinate service exam ku statistics major paper ku unit by unit class ponuga akka
@@Dharmaseelan-ez9cm Hi, I don't have much knowledge about service exams
we can use calculator for calculating?
@@gangrio9477 ofcourse you can. Idellaay in data world you would do it in any programming language say python
hi keerthi, i hope you are doing gud..........pls clarify diff bw data engineer &data scientist, phython sql mandatory for all data related role but data engineerah porathuku some skills like spark ,airflow, snowflake etc..itha mattum prepare pannuna pothuma ..pls clarify this company epdi expect pandraga, thanks
@@MEDITATIONMUSIC-xf4qv Yes I'm great 👍
1.data enginner vs data scientist watch to know the difference - ruclips.net/video/QxN-tSLT6SU/видео.htmlsi=oGGoWgFmtWBByGJy
2. Data scientist - advanced python + SQL basics. Data Engineer - advanced python + advanced SQL
3. To become data engineer -
Step 1 - start with python, SQL, spark & DBT (be very strong in all these topics)
Step 2 - cover the basics of cloud service providers like AWS or Google
Step 3 - either snowflake or databricks. Currently, databricks demand is high. Cover the basics no need of certification and all. Try following youtube.com/@dataengineeringvideos?si=PO2T23z2AtTVYJ7W for more data engineering related videos in tamil.
4. Company expection is mostly on stage 1 skills mentioned above because different companies use different tools (snowflake/databricks) so focus more on step 1. All the best!
Hope it is clear now!!
@@ds_with_keerthi thank you so much keerthi💌
good evening keerthi, neenga data science work panringala.
@@mrmukilzan1336 I used to work as a data scientist. Currently I'm not working anywhere just focusing on RUclips