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RMOTR Data Science Curriculum

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Intro to Data Analysis With Pandas

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Updated 9 months ago
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Projects

Intro to Pandas Plotting

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Updated 10 days ago
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Pandas Immutability and the Inplace Parameter

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Updated 11 days ago
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Pandas Indexes

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Updated 11 days ago
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Useful Statistical Methods for DataFrames

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Updated 11 days ago
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Pandas DataFrames - Sorting

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Updated 11 days ago
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Pandas DataFrame Query Method

Advanced selection and filtering with the query() method

Updated 11 days ago
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Conditional Selection and Filtering on Pandas DataFrames

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Updated 11 days ago
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Vectorized Operations on Pandas DataFrames

No description provided.

Updated 11 days ago
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Add and Modify Elements on Pandas DataFrames

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Updated 11 days ago
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Pandas DataFrames - Selection and Indexing

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Updated 11 days ago
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Removing Elements From Pandas DataFrames

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Updated 12 days ago
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Column Types on Pandas DataFrames

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Updated 12 days ago
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Intro to Pandas DataFrames

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Updated 12 days ago
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Pandas Series - Sorting

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Updated 12 days ago
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Intro to Pandas Series

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Updated 13 days ago
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Conditional Selection and Filtering on Pandas Series

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Updated 13 days ago
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Vectorized Operations and Methods on Pandas Series

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Updated 13 days ago
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Pandas Series - Selection and Indexing

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Updated 13 days ago
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What Is Pandas?

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Updated 14 days ago
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Using Statistics to Deal With Invalid Values

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Updated 15 days ago
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Dealing With Invalid Values

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Updated 15 days ago
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Pandas String Handling

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Updated 15 days ago
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Dealing With Invalid Types

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Updated 15 days ago
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Dealing With Duplicated Values in Pandas

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Updated 15 days ago
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Dealing With Missing Data in Pandas

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Updated 15 days ago
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Missing Values in Pandas

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Updated 15 days ago
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Missing Values in Python and Numpy

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Updated 15 days ago
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Intro to Data Cleaning

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Updated 15 days ago
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3.3 - Category Encoding and Dummy Variables

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Updated 15 days ago
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3.2 - Categorical Ordering and CategoricalDType

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Updated 15 days ago
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3.1 - Intro to Categorical

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Updated 15 days ago
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4.1 - Pandas Advanced Indexing and Pivot Tables

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Updated 15 days ago
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4.6 - Creating Groups From Data Using Transform

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Updated 15 days ago
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4.4 - Grouping and Aggregation

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Updated 15 days ago
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4.3 - Concatenation and Indexing Example

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Updated 15 days ago
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Reading HTML Tables

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Updated 15 days ago
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Complementary File Types and IO Tools

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Updated 15 days ago
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Fetching Data From a REST API

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Updated 15 days ago
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Reading Data From Relational Databases

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Updated 15 days ago
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Reading JSON Files

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Updated 15 days ago
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Reading Excel Files

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Updated 15 days ago
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Comparing NumPy Efficiency vs Pure Python

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Updated 15 days ago
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Reading CSV and TXT Files

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Updated 15 days ago
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Reading External Data

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Updated 15 days ago
1
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Intro to Linear Algebra Using NumPy

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Updated 20 days ago
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First Steps in Pandas for Excel Users

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Updated a month ago
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👉 From Excel to Pandas: Pivot Tables

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Updated a month ago
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Intro to Vectorized Operations Using NumPy

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Updated a month ago
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Summary Statistics Using Numpy

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Updated a month ago
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Introduction to NumPy Boolean Arrays

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Updated a month ago
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Numpy Universal Functions

No description provided.

Updated a month ago
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Intro to NumPy

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Updated a month ago
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2

Simulating Range Lookup Using Pandas

In our series Pandas for Excel users, this is our 3rd project in the series. We'll see how to do range matching using Pandas to match values based on assigned limits.

Updated 5 months ago
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Merging Tables With Missing Data

In our series Pandas for Excel users, this is our 2nd notebook in the series. We'll see how to merge tables when there are missing values in any of them.

Updated 5 months ago
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Merging Tables Using Exact Match

In our series Pandas for Excel users, this is our 1st approximation to simulate VLOOKUP using Pandas. In this notebook you'll see how to merge tables using exact match.

Updated 5 months ago
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Data Science - Class 1

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Updated 5 months ago
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3.5 - Creating Categories With Cutting and Binning

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Updated 5 months ago
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4.2 - Merge and Concatenation

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Updated 5 months ago
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Data Analysis Workshop - Pokemon EDA

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Updated 5 months ago
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Final Project - StackOverflow

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Updated 5 months ago
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Final Project - Fifa

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Updated 5 months ago
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4.5 - Apply, Applymap and Map

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Updated 5 months ago
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DS Project - Student Performance Analysis

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Updated 5 months ago
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Summary of Seaborn Visualizations

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Updated 5 months ago
1
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Correlation and Two-Variable Relationships

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Updated 5 months ago
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Outlier Detection Using Boxplots

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Updated 5 months ago
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Probability Distributions and Random Variables

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Updated 5 months ago
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Estimates of Dispersion

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Updated 5 months ago
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Estimates of Location

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Updated 5 months ago
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Intro to Statistics

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Updated 5 months ago
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Plot Positioning

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Updated 5 months ago
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Annotations and Legends

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Updated 5 months ago
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Type of Plots

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Updated 5 months ago
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4

Python Under 10 Minutes

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Updated 5 months ago
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Interactive JupyterLab Tutorial

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Updated 5 months ago
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What Is Data Science

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Updated 5 months ago
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2.2 - Handling Missing Data With Pandas

No description provided.

Updated 7 months ago
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2.3 - Cleaning Not Null Values

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Updated 7 months ago
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2.1 - Missing Data

No description provided.

Updated 7 months ago
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List Comprehensions Explained

A detailed explanation of how List Comprehensions work including examples and a step by step video to understand them.

Updated 8 months ago
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EDA Google Playstore

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Updated 9 months ago
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