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Training Camp I
Home
Lessons
Lesson I: Data Handling
1.1 Storing Data
1.2 Reading Flat-file Form
1.3 Validating Data
1.4 Dealing with Missing Data
1.5 Slicing, Combining, Removing Data
Lesson II: Data Visualization
Basics of Plot
Labels, Annotations, and Legends
Choosing the Right Graph
Histograms & Boxplots
Scatterplots
Lesson III: Data Analysis
Descriptive Statistics for Numeric Data
Counting for Categorical Data
Creating Applied Visualization
Understanding Correlation
Modifying Data Distributions
Lesson IV: Data Wrangling
Understanding SVD
Performing Factor Analysis and PCA
Squeezing information with t-SNE
Clustering with K-means
Discovering New Groups with DBScan
Lesson V: Advanced Data Handling
5.1. Indexing and Selecting Data
5.2. Timestamp and Timedelta Object
5.3. DatetimeIndex
5.4. Working with text data
5.5. File System with pathlib module
(Extra) GeoPy
Assignments & Grades
Assignment I
Assignment II
Assignment III
Assignment IV
Assignment V
Questionnaire
Training Camp I
Home
Lessons
Lesson I: Data Handling
1.1 Storing Data
1.2 Reading Flat-file Form
1.3 Validating Data
1.4 Dealing with Missing Data
1.5 Slicing, Combining, Removing Data
Lesson II: Data Visualization
Basics of Plot
Labels, Annotations, and Legends
Choosing the Right Graph
Histograms & Boxplots
Scatterplots
Lesson III: Data Analysis
Descriptive Statistics for Numeric Data
Counting for Categorical Data
Creating Applied Visualization
Understanding Correlation
Modifying Data Distributions
Lesson IV: Data Wrangling
Understanding SVD
Performing Factor Analysis and PCA
Squeezing information with t-SNE
Clustering with K-means
Discovering New Groups with DBScan
Lesson V: Advanced Data Handling
5.1. Indexing and Selecting Data
5.2. Timestamp and Timedelta Object
5.3. DatetimeIndex
5.4. Working with text data
5.5. File System with pathlib module
(Extra) GeoPy
Assignments & Grades
Assignment I
Assignment II
Assignment III
Assignment IV
Assignment V
Questionnaire
More
Home
Lessons
Lesson I: Data Handling
1.1 Storing Data
1.2 Reading Flat-file Form
1.3 Validating Data
1.4 Dealing with Missing Data
1.5 Slicing, Combining, Removing Data
Lesson II: Data Visualization
Basics of Plot
Labels, Annotations, and Legends
Choosing the Right Graph
Histograms & Boxplots
Scatterplots
Lesson III: Data Analysis
Descriptive Statistics for Numeric Data
Counting for Categorical Data
Creating Applied Visualization
Understanding Correlation
Modifying Data Distributions
Lesson IV: Data Wrangling
Understanding SVD
Performing Factor Analysis and PCA
Squeezing information with t-SNE
Clustering with K-means
Discovering New Groups with DBScan
Lesson V: Advanced Data Handling
5.1. Indexing and Selecting Data
5.2. Timestamp and Timedelta Object
5.3. DatetimeIndex
5.4. Working with text data
5.5. File System with pathlib module
(Extra) GeoPy
Assignments & Grades
Assignment I
Assignment II
Assignment III
Assignment IV
Assignment V
Questionnaire
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