The Map Of Data Science

Feel free to correct anything below. And yes, Domain Of Science would have done it better lmao

[datanash]

If you want a free PDF version of the roadmap to get into data science, you can get it here : www.datanash.co.uk/

[DKHo_Gaming]

This is a very good summary. Agree with each role and description from two years of Data Analysis.

[Khi-laffa]

Super primer on data science. Also consider statistical model differences and the depth of patterns right down to deep mining. Gives a spectrum of difficulty.

[charlesmcdowell]

I think you'd make a great collab / interview with F.D Signifier. I'm sure if people got more eyes on you this channel would quickly blow up due to its quality.

[dan_mirnejhad]

I love domain of science, this was definitely on par with their maps, wish I could have the full thing on my wall 🤣 definitely coming back to this one

[Dural]

A very nice summary, exactly what I’ve learnt in my data analyst apprenticeship.

[nathanmcnamara]

Thank you Nash, really appreciate you putting so much effort into sharing your journey! It is helping me in my own as I learn about the field. Cheers from across the pond!

[harshavardhini]

Thank u for making this video . Really very helpful for those who know nothing abt data science

[lindadelalisey]

Wow! Great content. Very practical and easy to understand. Hats-off to you!!!

[vasquezg]

Great content! I just started my Data Scientist journey a few months ago. This video was very informative. Thanks!

[danielhjertholm]

Good video on the different roles, but I was expecting a map of common techniques. Something like:

Data Preprocessing
- Data Cleaning: Null handling, Outliers
- Data Transformation: Normalization, One-hot encoding

Exploratory Data Analysis (EDA)
- Descriptive Statistics
- Data Visualization: Histograms, Scatter plots

Feature Engineering
- Feature Selection
- Feature Extraction: PCA, SVD

Machine Learning
- Supervised: Linear Regression, SVM, Random Forest
- Unsupervised: K-means, Hierarchical Clustering
- Ensemble: Boosting, Bagging
- Neural Networks: CNN, RNN, Transformers

etc...

[ItDoWhatItBe]

Great job overviewing the field! (CS grad student)

[charlesmcdowell]

Great video. I hope the YouTube algorithm give you plenty of followers. I subbed.

[ctolcode]

Brilliant video, I'll be saving this for some later use.
The idea of Data engineer, data scientist and data analysis is totally right.
I fuck this up on the regular. I mostly end up thinking Analyst = Engineer = Scientist.
Because I mostly have the end result of the analysis in mind, but I apply all aspects.
Currently I am working on an excel/SAS combined program which is supposed to
1. load in data from multiple places in our company server folders and clean the data up.
2. tranfer the data to a location from which VBA code will load in and format the data according to key indicators
3. send out emails and receive responses stored in outlook
4. produce understandable statistics for my colleagues working with law.

[bomb]

Thanks, me gain clear view in all the three categories

[deshawall]

Great job 👏 I see you being very big in the future

[just_tammy]

I just started my DS degree and your channel has been very interesting to learn from

[THAJOKERIZINFAMOUS]

Great content! Currently teaching but I want to switch to either data science or data analysis. Got my masters in applied statistics and was leaning more towards data science and now I’m sure that’s the path I want to take! Thanks man!

[everythingeverything]

Love it @datanash8200, did you create a map to print out too? 🤓

[charlesmcdowell]

That's for putting me on domain of science.