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Data Scientist Roadmap roadmap

1
Descriptive Statistics P Value Probability Table Hypothesis Test Bayesian Inference Significance Level Probability Distributions
Mathematics for Data Scientists
2
Calculus Graph Theory Matrix Factorization Combinatorics
3
Terminal Usage Use of Jupyter Notebook Algorithm Efficiency and Code Optimization Version Control
4
Python R
SQL
5
Table D3.js A/B Testing Metric Design Soft Skills
6
Distributed Database System Parallel Databases MapReduce Hadoop Ecosystem Cloud Infrastructure Platforms
7
Outlier Values Management Missing Data Management
8
Classification Clustering Estimation Modeling
9
What is Feature Engineering?
10
In Sample vs Out of Sample Overlearning and Underlearning Measurement Metrics
Regularization Dimensional Reduction Hyperparameter Optimization Community Methods
11
Decision Tree K Means SVM Logistic Regression Spectral Clustering KNN
12
Advanced Mathematical Concepts
13
RNN (Recurrent Neural Networks) ANN (Artificial Neural Networks) CNN (Convolutional Neural Networks)
14
TF- IDF POS Tagger Hidden Markov Model Emotion Analysis
15
Computer Vision