AI-and-Data-Scientist-Roadmap

Step by step guide to becoming an AI and Data Scientist in 2024 | My Learning Map to become a Data & AI Scientist at Careem in 12 Months

Step	Competence	Substep	How to Grow	Expected Time
1	Math	Linear Algebra, Calculus, Mathematical Analysis	Coursera Specialization: Mathematics for Machine Learning	1 month
		Differential Calculus	Coursera Course: Algebra and Differential Calculus for Data Science	2 weeks
2	Stats and Probability	Statistics, CLT	Coursera Course: Stanford Statistics	2 weeks
		Hypothesis testing	Coursera Course: Statistical Analysis - Hypothesis Testing	1 week
		Probability and Sampling	Coursera Course: Probability and Statistics	2 weeks
		AB testing	Medium Article: Practitioner's Guide to Statistical Tests	1 week
			Towards Data Science Article: Step-by-Step for Planning an A/B Test	1 week
			Splitmetrics Article: Minimum Detectable Effect (MDE)	2 weeks
			KDD Paper: Improving the Sensitivity of Online Controlled Experiments	1 week
			Exp-platform Document: Improving Sensitivity of Controlled Experiments	1 week
			Booking.ai Article: How Booking.com Increases the Power of Online Experiments with CUPED	1 week
			ResearchGate Paper: Improving the Sensitivity of Online Controlled Experiments	1 week
			ResearchGate Paper: Improving the Sensitivity of Online Controlled Experiments - Case Studies at Netflix	1 week
			DoorDash Engineering Blog: Improving Experimental Power through Control Using Predictions as Covariate (CUPAC)	2 weeks
		Ratio metrics	Arxiv Paper: Ratio Metrics	1 week
			Stat.CMU Document: Ratio Metrics	1 week
3	Econometrics	Regressions, time series, fitting distributions	Book: Introductory Econometrics	2 weeks
			Coursera Course: Erasmus Econometrics	2 weeks
4	Coding	Algorithms and data structures (Python)	LeetCode Explore Learning Paths	1 month
			Coursera Specialization: Algorithms	2 weeks
		SQL	SQL Tutorial	2 weeks
5	EDA	Data understanding, Data Analysis, Visualization	Coursera Project: Exploratory Data Analysis with Python Pandas	1 week
			Coursera Course: IBM Exploratory Data Analysis for Machine Learning	1 week
			Coursera Project: Exploratory Data Analysis with Seaborn	1 week
6	ML	Classic ML (Supervised and Unsupervised), Advanced ML (Ensembles, NNs)	ML Course Book: mlcourse.ai	2 weeks
			Coursera Specialization: Machine Learning	1 month
			Book: Pattern Recognition and Machine Learning	1 month
7	DL	Fully connected NN, CNN, RNN, LSTM, Transformers, Transfer Learning	Coursera Specialization: Deep Learning	1 month
			Book: Deep Learning	1 month
			Arxiv Paper: Attention Is All You Need (Transformer)	2 days
			Blog: The Illustrated Transformer	2 days
8	MLOps	Deployment models to production, Microservices, CI/CD	Coursera Specialization: Machine Learning Engineering for Production (MLOps)	2 weeks

Bassamejlaoui/AI-and-Data-Scientist-Roadmap

AI-and-Data-Scientist-Roadmap