Aug 2018: Spatial Data with R

- Aug 6: Working with Geospatial Data in R
- Aug 13: Spatial Analysis in R with sf and raster
- Aug 20: Spatial Statistics in R
- Aug 27: Interactive Maps with leaflet in R

**Time**: 9 am-12 pm, every Monday**Location**: SSDA Office, Nisbet 323

**Location**: Nisbet Building 323, SSDA Office

**Time**: 9 am to 5 pm (full day), every Monday and Tuesday

Python 1. June 4-5, Python Programming

- Intro to Python for Data Science
- Intermediate Python for Data Science
- Python Data Science Toolbox (Part 1)
- Python Data Science Toolbox (Part 2)

Python 2. June 11-12, Importing & Cleaning Data with Python

- Importing Data in Python (Part 1)
- Importing Data in Python (Part 2)
- Introduction to Databases in Python
- Cleaning Data in Python

Python 3. June 18-19, Data Manipulation with Python

- pandas Foundations
- Manipulating DataFrames with pandas
- Merging DataFrames with pandas
- Introduction to Databases in Python

Python 4. June 25-26, Machine Learning with Python

- Supervised Learning with scikit-learn
- Unsupervised Learning in Python
- Machine Learning with the Experts: School Budgets
- Deep Learning in Python

Python 5. July 2, Data Visualization with Python

Python 6. July 3, Natural Language Processing with Python

Python 7. July 9, Big Data Processing with Python

R1. July 10, RStudio

R2. July 16-17, Finance Basics with R

- Introduction to R for Finance
- Intermediate R for Finance
- Manipulating Time Series Data in R with xts & zoo
- Importing and Managing Financial Data in R

R3. July 23-24, Applied Finance with R

- Bond Valuation and Analysis in R
- Introduction to Portfolio Analysis in R
- Intermediate Portfolio Analysis in R
- Financial Trading in R

- 1.1 Feb 15, 2018 -- Introduction to R
- 1.2 Feb 22, 2018 -- Importing Data in R (Part 1)
- 1.3 Mar 1, 2018 -- Cleaning Data in R
- 1.4 Mar 15, 2018 -- Data Manipulation in R with dplyr
- 1.5 Mar 22, 2018 -- Data Visualization in R
- 1.6 Mar 29, 2018 -- Exploratory Data Analysis

**Time**: Every Thursday, 12-5 pm**Location**: Nisbet Building 323, SSDA meeting room.

- 2.1 Feb 16, 2018 -- Working with Web Data in R
- 2.2 Feb 23, 2018 -- Text Mining: Bag of Words
- 2.3 Mar 2, 2018 -- Sentiment Analysis in R: The Tidy Way
- 2.4 Mar 16, 2018 -- Introduction to Time Series Analysis
- 2.5 Mar 23, 2018 -- Spatial Statistics in R
- 2.6 Mar 30, 2018 -- Network Analysis in R
- 2.7 Apr 6, 2018 -- Machine Learning with Tree-Based Models in R

**Time**: Every Friday, 12-5 pm**Location**: Nisbet Building 323, SSDA meeting room.

- 3.1 April 12, 2018 --Introduction to Data
- 3.2 April 19, 2018 -- Exploratory Data Analysis
- 3.3 April 26, 2018 -- Correlation and Regression
- 3.4 May 3, 2018 -- Foundations of Inference

**Time**: Every Thursday, 1-3 pm**Location**: Geography Building 219

- 4.1 April 13, 2018 -- Supervised Learning in R: Classification
- 4.2 April 20, 2018 -- Supervised Learning in R: Regression
- 4.3 April 27, 2018 -- Unsupervised Learning in R (Geography Building Room 201)
- 4.4 May 4, 2018 -- Machine Learning Toolbox

**Time**: Every Friday, 1-3 pm**Location**: Geography Building 219 (except for April 27: Room 201)