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RMOTR Data Science Curriculum

Featured projects

Intro to Data Analysis With Pandas

No description provided.

Updated 5 months ago
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38

Projects

👉 From Excel to Pandas: Pivot Tables

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Updated 22 days ago
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First Steps in Pandas for Excel Users

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Updated 25 days ago
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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 25 days 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 25 days 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 25 days ago
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Reading External Data

No description provided.

Updated a month ago
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9

Data Science - Class 1

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Updated a month ago
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3.5 - Creating Categories With Cutting and Binning

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Updated a month ago
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Vectorized Operations and Sorting in Pandas Series

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Updated a month ago
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4.2 - Merge and Concatenation

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Updated a month ago
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Pandas DataFrame Selection and Indexing

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Updated 2 months ago
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9

Data Analysis Workshop - Pokemon EDA

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Updated 2 months ago
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Final Project - StackOverflow

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Updated 2 months ago
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Final Project - Fifa

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Updated 2 months ago
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4.5 - Apply, Applymap and Map

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Updated 2 months ago
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DS Project - Student Performance Analysis

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Updated 2 months ago
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1

Using Statistics to Deal With Invalid Values

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Updated 2 months ago
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Dealing With Invalid Values

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Updated 2 months ago
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Pandas String Handling (.str Attribute)

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Updated 2 months ago
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1

Dealing With Invalid Types

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Updated 2 months ago
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Dealing With Duplicated Values in Pandas

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Updated 2 months ago
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Dealing With Missing Data in Pandas

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Updated 2 months ago
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2

Missing Values in Pandas

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Updated 2 months ago
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Missing Values in Python and Numpy

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Updated 2 months ago
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Intro to Data Cleaning

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Updated 2 months ago
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Summary of Seaborn Visualizations

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Updated 2 months ago
1
6

Correlation and Two-Variable Relationships

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Updated 2 months ago
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1

Outlier Detection Using Boxplots

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Updated 2 months ago
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Probability Distributions and Random Variables

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Updated 2 months ago
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2

Estimates of Dispersion

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Updated 2 months ago
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1

Estimates of Location

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Updated 2 months ago
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1

Intro to Statistics

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Updated 2 months ago
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Plot Positioning

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Updated 2 months ago
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2

Annotations and Legends

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Updated 2 months ago
1
2

Type of Plots

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Updated 2 months ago
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4

Plotting With Pandas

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Updated 2 months ago
1
5

Pandas Immutability and the Inplace Parameter

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Updated 2 months ago
0
4

Conditional Selection on Pandas DataFrames

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Updated 2 months ago
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Pandas DataFrame - Vectorized Operations and Sorting

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Updated 2 months ago
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7

Add and Modify Elements on Pandas DataFrames

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Updated 2 months ago
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7

Intro to Pandas DataFrames

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Updated 2 months ago
0
11

Conditional Selection on Pandas Series

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Updated 2 months ago
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6

Pandas Series: Filtering, Selection and Indexing

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Updated 2 months ago
0
9

Intro to Pandas Series

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Updated 2 months ago
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19

What Is Pandas?

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Updated 2 months ago
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17

NumPy Efficiency vs Pure Python's

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Updated 2 months ago
1
10

Summary Statistics

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Updated 2 months ago
1
15

Boolean Arrays

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Updated 2 months ago
1
12

Numpy Universal Functions

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Updated 2 months ago
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12

Vectorized Operations

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Updated 2 months ago
1
20

Basics of Linear Algebra

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Updated 2 months ago
1
19

Intro to Numpy

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Updated 2 months ago
3
30

Python Under 10 Minutes

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Updated 2 months ago
0
20

Interactive JupyterLab Tutorial

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Updated 2 months ago
0
56

What Is Data Science

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Updated 2 months ago
1
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2.2 - Handling Missing Data With Pandas

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Updated 3 months ago
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3

2.3 - Cleaning Not Null Values

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Updated 3 months ago
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1

2.1 - Missing Data

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Updated 3 months ago
1
2

List Comprehensions Explained

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

Updated 5 months ago
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EDA Google Playstore

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Updated 5 months ago
0
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3.6 - Parse HTML Tables

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Updated 6 months ago
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3.3 - Category Encoding and Dummy Variables

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Updated 6 months ago
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3.2 - Categorical Ordering and CategoricalDType

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Updated 6 months ago
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3.1 - Intro to Categorical

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Updated 6 months ago
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4.1 - Pandas Advanced Indexing and Pivot Tables

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Updated 6 months ago
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4.4 - Grouping and Aggregation

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Updated 6 months ago
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4.3 - Concatenation and Indexing Example

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Updated 6 months ago
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4.6 - Creating Groups From Data Using Transform

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Updated 6 months ago
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