Do not transition to data science | Why not to transition to data science
#datascience #machinelearning #unfolddatascience
Hello ,
My name is Aman and I am a Data Scientist.
All amazing data science courses at most affordable price here:
About this video:
1. transition to data science
2.transition to data analyst
3.transition to data analyst
4.career transition to data analyst
5.career transition to data science
6.transition from data analyst to data scientist
7.transition from software engineer to data scientist
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
If you need Data Science training from scratch . Please fill this form (Please Note: Training is chargeable)
Book recommendation for Data Science:
Category 1 – Must Read For Every Data Scientist:
The Elements of Statistical Learning by Trevor Hastie –
Python Data Science Handbook –
Business Statistics By Ken Black –
Hands-On Machine Learning with Scikit Learn, Keras, and TensorFlow by Aurelien Geron –
Ctaegory 2 – Overall Data Science:
The Art of Data Science By Roger D. Peng –
Predictive Analytics By By Eric Siegel –
Data Science for Business By Foster Provost –
Category 3 – Statistics and Mathematics:
Naked Statistics By Charles Wheelan –
Practical Statistics for Data Scientist By Peter Bruce –
Category 4 – Machine Learning:
Introduction to machine learning by Andreas C Muller –
The Hundred Page Machine Learning Book by Andriy Burkov –
Category 5 – Programming:
The Pragmatic Programmer by David Thomas –
Clean Code by Robert C. Martin –
My Studio Setup:
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Join Facebook group :
Follow on medium :
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Get connected on LinkedIn :
Follow on Instagram : unfolddatascience
Watch Introduction to Data Science full playlist here :
Watch python for data science playlist here:
Watch statistics and mathematics playlist here :
Watch End to End Implementation of a simple machine learning model in Python here:
Learn Ensemble Model, Bagging and Boosting here:
Build Career in Data Science Playlist:
Artificial Neural Network and Deep Learning Playlist:
Natural langugae Processing playlist:
Understanding and building recommendation system:
Access all my codes here:
Have a different question for me? Ask me here :
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data science , Do not transition to data science | Why not to transition to data science , , PfssVKzaL6E , https://www.youtube.com/watch?v=PfssVKzaL6E , https://i.ytimg.com/vi/PfssVKzaL6E/hqdefault.jpg , 7173 , 5.00 , Do not transition to data science | Why not to transition to data science
#datascience #machinelearning #unfolddatascience
Hello ,
My name is Aman and I am a Data Scientist.
All amazing data science courses at most affordable price here:
About this video:
1. transition to data science
2.transition to data analyst
3.transition to data analyst
4.career transition to data analyst
5.career transition to data science
6.transition from data analyst to data scientist
7.transition from software engineer to data scientist
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
If you need Data Science training from scratch . Please fill this form (Please Note: Training is chargeable)
Book recommendation for Data Science:
Category 1 – Must Read For Every Data Scientist:
The Elements of Statistical Learning by Trevor Hastie –
Python Data Science Handbook –
Business Statistics By Ken Black –
Hands-On Machine Learning with Scikit Learn, Keras, and TensorFlow by Aurelien Geron –
Ctaegory 2 – Overall Data Science:
The Art of Data Science By Roger D. Peng –
Predictive Analytics By By Eric Siegel –
Data Science for Business By Foster Provost –
Category 3 – Statistics and Mathematics:
Naked Statistics By Charles Wheelan –
Practical Statistics for Data Scientist By Peter Bruce –
Category 4 – Machine Learning:
Introduction to machine learning by Andreas C Muller –
The Hundred Page Machine Learning Book by Andriy Burkov –
Category 5 – Programming:
The Pragmatic Programmer by David Thomas –
Clean Code by Robert C. Martin –
My Studio Setup:
My Camera :
My Mic :
My Tripod :
My Ring Light :
Join Facebook group :
Follow on medium :
Follow on quora:
Follow on twitter : @unfoldds
Get connected on LinkedIn :
Follow on Instagram : unfolddatascience
Watch Introduction to Data Science full playlist here :
Watch python for data science playlist here:
Watch statistics and mathematics playlist here :
Watch End to End Implementation of a simple machine learning model in Python here:
Learn Ensemble Model, Bagging and Boosting here:
Build Career in Data Science Playlist:
Artificial Neural Network and Deep Learning Playlist:
Natural langugae Processing playlist:
Understanding and building recommendation system:
Access all my codes here:
Have a different question for me? Ask me here :
My Music: , 1657030748 , 2022-07-05 14:19:08 , 00:05:35 , UCh8IuVJvRdporrHi-I9H7Vw , Unfold Data Science , 238 , , transition to data science,transition to data analyst,career transition to data analyst,career transition to data science,transition from data analyst to data scientist,transition from software engineer to data scientist,switching to data science career,physics to data science transition,transition from data science to software engineer,unfold data science,transition to machine,career transition to machine learning,mechanical engineer to machine learning , https://www.youtubepp.com/watch?v=PfssVKzaL6E , [ad_2] , [ad_1] , https://www.youtube.com/watch?v=PfssVKzaL6E, #transition #data #science #transition #data #science
4:09 future is ml and ai
What will happened to us.. who already made a transition!
I am working as a WordPress developer from more than 2 years. How can I transform my career into data science/ machine learning as I am also a student of BS Data Science (3rd semester)
hey i marine engineer ( maintenance engineer on container ship) , how can i use my skills in data science career
I am from finance domain currently having 4 yrs of experience in finance. Now I am persuing data science pg course. Is that mean I should not leave finance field ? Is that mean i should not join as data scientist ?.
Hey currently I am working in mechanical company as process control engineer science last 5 years . I am dealing with histogram, scatter diagram, bar chart, cause and effect diagram, hypothesis testing etc. I am also ISO 9001-2015 certified auditor, I done six sigma green belt certification. Is this experience consider in data science field.
Hey,
I have done my graduation in economics. How can I use this knowledge in data science?
5 min video , still not able to make a single point.
Care to explain what was the point of this video ?
sir put up some data science mock interviews
Best way to get into Data Science!
Domain knowledge is very important for a data scientist. Don't try to apply for jobs in all the domains. One line can train your model, then try to understand why companies are paying high for this one line of code? Your advice is really good for many. As per my observation many data scientists are failing in career because they are not strong in the fundamentals. Data science is like R&D type of work.
Interesting. Very good advice for a newly transitioned one like me.
Hi Aman, most of the job openings mention 2+ yrs ofexperience in Data Science or atleast IT. I understand that someone form web development or IT field will have no problem getting into Data science. But for core engg disciplines, like Mechanical, civil etc. even with 4-5 yrs of experience, the recruiters don't even consider that as "Relevant Job Experience" .
Thanks for suggesting the right path sir!
I dont think it is practically possible in all field that too in India.
Bkz how can a civil engineering job experience be useful in data science?
Awesome content Aman.
Excellent 😊