How I'd Learn AI & Data Science in 2024 (If I Had To Start Over)

[@husseinel-zein6849]

I wrote these notes for me but thought they'd be useful for you guys too: 1. SQL 1:11 1. Query Foundations 2. Merging & Joining 3. Manipulation 2. Python 2:10 1. Base Python 2. Pandas 3. Numpy 4. Scipy 5. Matplotlib 6. Scikit-learn 7. Streamlit 3. Machine Learning 3:28 1. Supervised 1. Linear Regression 2. Logistic Regression 3. Decision Trees 4. Random Forests 5. K-Nearest Neighbors 2. Unsupervised 1. K-Means- used for clustering & segmentations 2. Principle Component Analysis (PCA) 3. Bonus 1. Association Rule Learning- Strength of relationships between data points. i.e. Which products are commonly bought together 2. Causal Impact Analysis- Measures change in a metric after some event has taken place 4. Deep Learning- Important to grow in career 5:20 1. Either Keras or PyTorch 5. Math + Stats 5:33 1. Math concepts: 1. Types of Data 2. Distributions 3. Basic Linear Algebra 2. Stats concepts: 1. Hypothesis tests 2. p-value 3. Sampling & CLT 4. Confidence intervals 6. Projects & Portfolios- Ranges from coding simple algorithms to coding big ML algorithms 6:53 1. Varied Portfolio 2. Easy for hiring manager to see value 3.NOTE: Stand out by exhibiting growth mindset 7. Tableau 9:00 1. Importing data & understanding data roles 2. Customization- Marks Card 3. Applying filters 4. Calculated fields 5. L.O.D Expressions 8. Github 9:40 1. Repositories 2. Branches 3. Pull Requests 4. Merges 5. Pull & Push between github & local machine # Consistency Is Key

[@juank2599]

Hey Andrew I would like to know on which platform you document projects with code?

[@silverlining7778]

I was looking for a data science roadmap and luckily I found this video. Thankyou @Andrew Jones for this super streight forward roadmap

[@andrew-jones-data-science]

You're very welcome - did you check out the longer session linked in the video notes too?

[@priyanshurai9714]

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[@JPRealty-yb8yq]

Amazing to see how the complex looking process is seen to be so easy. Thanks for this, I really feel relieved. 🥰🥰

[@andrew-jones-data-science]

You’re welcome 😊

[@anukumar9173]

Pl0plp00

[@obehiokojie4066]

Great video! Thanks.

[@andrew-jones-data-science]

You're so welcome - thanks for your message!

[@rajeev13chauhan]

Amazing summarisation of the entire process of learning.. thanks a ton

[@andrew-jones-data-science]

Glad you liked it!

[@harryhindsight9845]

love it

[@andrew-jones-data-science]

Glad you enjoyed it!

[@kareemabdullahi4489]

Really great content. But I'd like to ask why is it Ai&data science not just data science

[@andrew-jones-data-science]

AI and the areas within it (Machine Learning & Deep Learning etc) are a big part of what Data Scientists apply - so thought I should include it. Many roles have also now been labelled as “AI” roles too, so wanted to make the video relevant to those

[@abdulsamad3388]

L do

[@Dansingh-paraste.750]

​@andrew-jones-daqqata-science

[@SantoshKumar-io6vz]

​@@andrew-jones-data-science,

[@RavibhabarBhabarravi]

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