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# Tableau Connecting to Data

## Tableau - Forecasting

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This post covers Forecasting.

## Tableau - Trend Lines

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This post covers Trend Lines.

## Tableau - Geo Map

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This post covers geo maps.

## Tableau - Calculated Field

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This post covers Calculated Field.

## Tableau - Data Aggregation

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This post covers Data Aggregation.

## Tableau - Filtering and Sorting

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This post covers Filtering and Sorting

## Tableau - Visualization - Introduction

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This post covers visualization.

## Tableau - Dashboard and Stories

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This post covers Dashboard and Stories.

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# Data Analysis Introduction

## Data Analysis

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This post covers Data Analysis using R.

## Error Exception

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This lesson covers An Informal Introduction to Python 3.10.5, https://docs.python.org/3/tutorial/introduction.html

## Input and Output

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This lesson covers An Informal Introduction to Python 3.10.5, https://docs.python.org/3/tutorial/introduction.html

## Modules

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This lesson covers An Informal Introduction to Python 3.10.5, https://docs.python.org/3/tutorial/introduction.html

## Data Structure

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This lesson covers An Informal Introduction to Python 3.10.5, https://docs.python.org/3/tutorial/introduction.html

## More Control Flow Tools

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This lesson covers An Informal Introduction to Python 3.10.5, https://docs.python.org/3/tutorial/introduction.html

## An Informal Introduction to Python

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This lesson covers An Informal Introduction to Python 3.10.5, https://docs.python.org/3/tutorial/introduction.html

## NumPy

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This lesson covers NumPy: the absolute basics for beginners, https://numpy.org/doc/stable/user/absolute_beginners.html

## Jupyter

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This lesson covers an introduction to Jupyter Notebook/Lab.

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## Digital Transformation (ZZ-1103)

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This lesson is from AI For Everyone

## Digital Transformation (ZZ-1103)

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This lesson is from AI For Everyone

## Digital Transformation (ZZ-1103)

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This lesson is from Digital Transformation Handbook by John Palfreyman.

## Digital Transformation (ZZ-1103)

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This lesson is from Blockchain

## Digital Transformation (ZZ-1103)

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This lesson is from Intro to Cloud Computing

## Digital Transformation (ZZ-1103)

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This lesson is from Mobile Computing

## Digital Transformation (ZZ-1103)

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This lesson is from Tutorialspoint.

## Digital Transformation (ZZ-1103)

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This lesson is from Wikipedia and Courseera course by BCG & University of Virginia

## Digital Transformation (ZZ-1103)

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This lesson is from Digital Transformation by Indian School of Business.

## Digital Transformation (ZZ-1103)

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This lesson is from Digital Transformation by Indian School of Business

## Digital Transformation (ZZ-1103)

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This lesson is from Digital Transformation by Indian School of Business.

## Digital Transformation (ZZ-1103)

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This lesson is from Digital Transformation by BCG & University of Virginia

## Digital Transformation (ZZ-1103)

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This lesson is from Digital Transformation Handbook by John Palfreyman

## Digital Transformation (ZZ-1103)

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This lesson is from Digital Transformation Handbook by John Palfreyman

## Digital Transformation (ZZ-1103)

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This lesson is from Digital Transformation Handbook by John Palfreyman

## Digital Transformation (ZZ-1103)

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This post covers phases of the digital transformation (from Industrial Digital Transformation, by Shyam Varan Nath, Ann Dunkin, Mahesh Chowdhary, Nital Patel - Packt Publishing)

## Digital Transformation (ZZ-1103)

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This lesson covers Industrial revolution (from Industrial Digital Transformation, by Shyam Varan Nath, Ann Dunkin, Mahesh Chowdhary, Nital Patel - Packt Publishing) and Digital Transformation Handbook by John Palfreyman.

## Digital Transformation (ZZ-1103)

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This lesson is from Digital Transformation Handbook by John Palfreyman and Introduction to Digital Transformation by Thomas M. Siebel.

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## Image Classification

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This post covers image classification, nearest neighbor classifier, k-nearest neighbor classifier and validation sets from cs231n.

## PyTorch

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This lesson covers CNN for CIFAR10

## PyTorch

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This lesson covers PyTorch Tutorial, https://pytorch.org/tutorials/beginner/basics/intro.html

## PyTorch

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This lesson covers PyTorch Tutorial, https://pytorch.org/tutorials/beginner/basics/intro.html

## PyTorch

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This lesson covers PyTorch Tutorial, https://pytorch.org/tutorials/beginner/basics/intro.html

## PyTorch

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This lesson covers PyTorch Tutorial, https://pytorch.org/tutorials/beginner/basics/intro.html

## PyTorch

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This lesson covers PyTorch Tutorial, https://pytorch.org/tutorials/beginner/basics/intro.html

## PyTorch

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This lesson covers PyTorch Tutorial, https://pytorch.org/tutorials/beginner/basics/intro.html

## PyTorch

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This lesson covers PyTorch Tutorial, https://pytorch.org/tutorials/beginner/basics/intro.html

## PyTorch

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This lesson covers PyTorch Tutorial, https://pytorch.org/tutorials/beginner/basics/intro.html

## PyTorch

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This lesson covers PyTorch Tutorial, https://pytorch.org/tutorials/beginner/basics/intro.html

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Chapter 6

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## L1 connect to and customize data

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Tableau Fundamentals

## R Commands

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This lesson is on basic commands of R

## ggplot2

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This lesson is from r-statistics.co

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## Visualization

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This post covers Multivariate Visualization.

## Visualization

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This post covers Bivariate Visualization.

## Univariate Visualization

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This post covers Univariate Data Visualization.

## Data Assessing and Cleaning

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This post covers Data Assessing and Cleaning.

## Data Gathering

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This post covers Data Gathering.

## Data Wrangling

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This post covers Data Wrangling.

## Python - Pandas

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This post covers Introduction to Pandas.

## t-Tests

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This post covers t-Tests.

## Outliers

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This post covers detecting outliers.

## Python - Introduction

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This post covers Introduction to Python Programming.

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## Help Cmd

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This lesson is for help.

## Variance and Standard Deviation

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This lesson covers Variance and Standard Deviation.

## Range and Quartiles

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This lesson covers Range and Quartiles.

## Skewed Distribution

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This lesson covers Introduction to Skewed Distribution.

## Linear Regression

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This lesson covers Linear Regression.

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# Introduction

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This post covers paper Natural Adversarial Examples

## ANOVA

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This post explains ANOVA.

## Chi-square

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This post explains Chi-square Test.

## t Table

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This post provides t Table.

## Hyothesis

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This post covers Hypothesis Testing.

## Estimation

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This post covers Estimation.

## Slides

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This post explains creating slides using Jupyter Notebook.

## Logical and Physical Markups

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This post covers introduction to Logical and Physical Markups.

## XML

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This lesson covers XML

## Filter Elements

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This lesson covers Filtering HTML Elemens.

## Probability Distributions

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This post covers Probability Distributions.

## Normal Distribution

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This post covers Normal Distribution from https://www.mathsisfun.com/data/standard-normal-distribution.html and https://www.mathsisfun.com/data/standard-deviation.html

## Z Table

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This post provides Z Table.

## JavaScript Fundamentals

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This lesson covers JavaScript Fundamentals.

## Sampling Distributions

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This post covers Sampling Distributions.

## JavaScript Fundamentals

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This lesson covers JavaScript Lab Fundamentals.

## MySQL - Getting Started

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This post covers installation of MySQL.

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This post covers forms in Flask using Calculator App!

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This post covers introduction to Flask!

## Machine Learning

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This lesson is on Machine Learning notes.

## Introduction to Deep Learning

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This post covers introduction to Image Classification using Deep Learning.

## Introduction to Deep Learning

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This post covers introduction to Image Classification using Deep Learning.

## Notes on CNN - Data and Loss

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This post covers CNN Architecture from cs231n.

## Notes on CNN - Architecture

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This post covers CNN Architecture from cs231n.

## Notes on Optimization

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This post covers Optimization and Backpropogation from cs231n.

## Notes on Optimization

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This post covers Optimization and Gradient Descent from cs231n.

## Mean Median Mode

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This post covers Introduction to descriptive statistics.

## Descriptive Statistics

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This lesson is from Introduction to Descriptive Statistics by Jackie Nicholas, Mathematics Learning Centre, University of Sydney

## Python-Libraries

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This post covers Introduction to some other python libraries.

## MNIST-NN

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This post covers introduction to Neural Network using MNIST dataset.

## MNIST-CNN

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This post covers introduction to Convolution Neural Network using MNIST dataset.

## HTML Forms

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This post covers introduction to HTML Forms.

## Datasets

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This lesson covers possible datasets to be used for projects.

## Missing data

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https://app.datacamp.com/learn/courses/dealing-with-missing-data-in-r

## Geospatial

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This lesson is from datacamp Visualizing Geospatial data in R and https://eriqande.github.io/rep-res-eeb-2017/map-making-in-R.html

## Visualization Best Practices

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This lesson is from datacamp Visualization Best Practices in R

## Shiny

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This lesson is from datacamp Introduction to Shiny

## Plotly

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This lesson is from datacamp Introduction to Plotly

## dplyr

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This lesson is from datacamp Introduction to Tidyverse

## HTML Fundamentals

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This lesson covers HTML Fundamentals.