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Data Skills (Data Engineering (Data Structuring (Database Development…
Data Skills
Data Engineering
Data Structuring
Database Development
Relational Database
Non-Relational Database
Data Warehouse
Data Lake
Landing Zone
Cleaning Zone
Business Zone
Singer
Cloud Storage
Azure Blob Store
AWS S3
Google Cloud Storage
Cloud Computing
AWS EC2
Azure Virtual Machines
Google Compute Engine
Cloud Databasing
AWS RDS
Azure SQL Database
Google Cloud SQL
Resource Management
Yarn
Database Testing
Database Maintenance
Data Acquisition Pipelines
ETL
Extraction Tecniques
S3 + Boto3
JSON Reading
Database Reading
NoSQL
Relational
Flume
API Reading
Web Scraping
Crawlers
HTML Parsing
Transforming Tecniques
MapReduce
Loading Techniques
DAG
Cron Sintax
Apache Airflow
Data Optimization
Streaming
Kafka
Apache Storm
Data Science
Data Science Pipeline
1-Problem Definition
2-Metrics Definition
3-Data Definition
4-Data Acquisition
Data Ingestion
Data Structuring
5-Data PreProcessing
Data Cleaning
Data Manipulation
Data Optimization
6-Exploratory Data Analysis
Exploratory Visualization
Hypotesis testing
ANOVA
Teste Z
F
Chi-Quadrado
Teste T
7-Featuring Engineering
Feature Importance Analysis
Feature Creation
Feature Selection
8-Modeling
8.1-Benchmark Modeling
8.2-Model Creation
Model Selection
Hyper Parameter Tunning
Grid Search
Random search
Bayesian Optimization
Model Regularization
Parameter Based
Ridge
Lasso
Elastic Net
Dropout
Data Based
Data Ingestion
Feature Engineering
8.3-Model Validation
Cross-Validation
Train-Test Split
Metrics Validation
9-Reporting
10-Deploy
11-Monitoring & Maintenance
Data Communication
Work Automation
Business Analytiscs
Conceitos Matemáticos Básicos
Álgebra Linear
Probabilidade e Estatística
Teoria dos Números
Cálculo
Cálculo Numérico
Machine
Learning
Supervised Learning
Classificação
Distance Based
KNN
Support Vector Machine
Logistic Regression
Information Based
Decision Tree
Random Forest
Probability Based
Naive Bayes
Regressão
Distance Based
KNN
Linear Regression
Information Based
Decision Tree
Random Forest
Time Series
Statistical Approach
Moving Average
ARIMA
SARIMAX
Stationary Transform Techniques
Feature Approach
Decomposition Approach
FB Prophet
Exponencial Smoothing
Double
Triple aka Holt-Winters
Simple
Ensemble
Stacking
Bagging
Boosting
Transfer Learning
Unsupervised Learning
Clustering
Centroid
Afinity
Hierarquical
Density
Dimensional Reduction
PCA
Local PCA
Intrinsic Dimension
Correlation Dimension
Distance Preservation
Multidimensional Scaling
Sammon's nonlinear mapping
Curvilinear component analysis
Graph distance
Geodesic NLM
Curvilinear distance analysis
Isomap
Deep Learning
Vanilla
Perceptron
Residual
Recurent
RNN
LSTM
GRU
Generative Models
GAN
Variationlal Autoencoder
Stochastic
Markovi
Boltzmann
Deep Belief
Convolutional
CNN
Residual
Capsnet
3D CNN
Attention
Deformable
Programação
Conceitos Básicos
POO
Básico de Python
Regex
String Manipulation
Arithmetic
Boolean Logic
Data Types
Data Encoding
Estrutura de Dados
Grafos
Tuples
Basic Tuples
Named Tuples
Sets
Árvores
Árvore binária
Árvore n-ária
Listas
Lista Ligadas
Listas duplamente ligadas
Dicts
Dicts
Default Dicts
Algoritmos
Busca
Busca Binária
DFS - Depth First Search
Árvore Binária de Busca
BFS - Breadth First Search
A*
Ordenação
Bubble Sort
Heap Sort
Quick Sort
Linguagens
Boas
C
C++
C#
Go
R
Rust
Python
Bibliotecas
Numpy
Collections
Itertools
Pandas
plotly
scikit learn
bokeh
statsmodels
TF 2.0
fklearn
Matplotlib
pytorch
Seaborn
tqdm
lime
dask
shap
numba
feature tools
Scipy
Bash
SQL
Debugging
Áreas de Foco
Reinforcement Learning
Processo de Decisão de Markov
Aulas de Stanford
Programação Dinâmica
SARSA Learning
Imitation Learning
Computer Vision
Deep CV
Neural Networks
CNNs
RNNs
Image Processing
What is an image?
Morphological operations
Turing Quant
Quantopian
Natural Language Processing