[Suggestion] An idea for a new roadmap: Data Science

[vravle]

A suggestion of new roadmap regarding Data Science. The following points could be included:

• Introduction to Data Science

  • What is Data Science?
  • Why is Data Science important?
  • What does a Data Scientist do?

• Mathematics

  • Linear Algebra
  • Analytic Geometry
  • Matrix
  • Vector Calculus
  • Optimization
  • Regression
  • Dimensional Reduction
  • Density Estimation
  • Classification

• Probability

  • Introduction to Probability

  • 1D Random Variable

  • The function of One Random Variable

  • Joint Probability Distribution

  • Discrete Distribution

  • Binomial (Python | R)

  • Bernoulli

  • Geometric etc

  • Continuous Distribution

  • Uniform

  • Exponential

  • Gamma

  • Normal Distribution (Python | R)

• Statistics

  • Introduction to Statistics

  • Data Description

  • Random Samples

  • Sampling Distribution

  • Parameter Estimation

  • Hypotheses Testing (Python | R)

  • ANOVA (Python | R)

  • Reliability Engineering

  • Stochastic Process

  • Computer Simulation

  • Design of Experiments

  • Simple Linear Regression

  • Correlation

  • Multiple Regression (Python | R)

  • Nonparametric Statistics

  • Sign Test

  • The Wilcoxon Signed-Rank Test (R)

  • The Wilcoxon Rank Sum Test

  • The Kruskal-Wallis Test (R)

  • Statistical Quality Control

  • Basics of Graphs

• Programming

  • Python:

  • Python Basics

  • NumPy

  • Pandas

  • Matplotlib

  • Seaborn

  • R:

  • R Basics

  • dplyr

  • ggplot2

  • Tidyr

  • Shiny, etc.

  • DataBase:

  • SQL

  • MongoDB

• Machine Learning

  • Introduction:
  • How Model Works
  • Basic Data Exploration
  • First ML Model
  • Model Validation
  • Underfitting & Overfitting
  • Random Forests (Python | R)
  • scikit-learn
  • Intermediate:
  • Handling Missing Values
  • Handling Categorical Variables
  • Pipelines
  • Cross-Validation (R)
  • XGBoost (Python | R)
  • Data Leakage

• Deep Learning

  • Artificial Neural Network
  • Convolutional Neural Network
  • Recurrent Neural Network
  • TensorFlow
  • Keras
  • PyTorch
  • A Single Neuron
  • Deep Neural Network
  • Stochastic Gradient Descent
  • Overfitting and Underfitting
  • Dropout Batch Normalization
  • Binary Classification

• Feature Engineering

  • Baseline Model
  • Categorical Encodings
  • Feature Generation
  • Feature Selection

• Natural Language Processing

  • Text Classification
  • Word Vectors

• Data Visualization tool

  • Excel VBA
  • BI (Business Intelligence):
  • Tableau
  • Power BI
  • Qlik View
  • Qlik Sense

• Deployment

  • Microsoft Azure
  • Heroku
  • Google Cloud Platform
  • Flask
  • DJango

[rayanfer32]

I found an interesting clear cut roadmap here, maybe we could ask the developer and integrate it here.

https://i.am.ai/roadmap/#big-data-engineer-roadmap

[vravle]

Sure we could but the roadmaps are a bit vast to cover in the link specified.

[dansholds]

We now have an AI & Data Scientist roadmap - https://roadmap.sh/ai-data-scientist