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Online Data Analysis Using Python - Workshop

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Location

Join Zoom Meeting https://centennialcollege.zoom.us/j/96710893175

Toronto, ON M1G 3T5

Canada

Event description

Description

The workshop aims to help the healthcare professionals to use Python for their data related needs.

This workshop provides healthcare professionals an understanding of the emerging needs for analytics in the healthcare industry, introduces Python as an effective open Source programming language and demonstrates how to process data using Python platform.

Completing this workshop will provide the following knowledge and skills to the participants;

(1). An understanding of the needs for analytics in healthcare sector.

(2). An understanding of Python, its features and libraries ( Pandas, Numpy, Scipy, Statsmodels, Scikit-learn, Matplotlib, Seaborn, Scrapy etc.).

(3). Hands-on-training on importing/loading datasets, preprocessing data(cleaning, filtering, merging, sorting etc.), making basic visualizations(bar chart, line chart, scatterplot) and performing basic analysis(correlation, chi-square, t-test).


AGENDA

1. Discuss the needs and applications of data analytics in healthcare industry and give a description of the most recent trends in this field; Introduce Python, its features and use for data preprocessing and analyses. Explain Python libraries (Pandas, Numpy, Scipy, Statsmodels, Scikit-learn, Matplotlib, Seaborn, Scrapy etc.) and their applications (1 hour).

2. Break (10 minutes).

3. Demonstration: Installing Python, Loading/importing data (CSV, Excel), selecting and filtering data, deleting columns, data cleaning, sorting, merging etc.(1.15 hour).

4. Break (10 minutes)

5. Demonstration continues: Basic visualizations (Bar chart, Line chart, Scatter plot etc.)., and basic analysis: measures of Central tendency(mean, median, mode)Correlation, Chi-Square and t-test. (1.15 hour).

7. Questions and Answers (10 minutes).

ALL PARTICIPANTS WILL NEED A GMAIL ACCOUNT

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Location

Join Zoom Meeting https://centennialcollege.zoom.us/j/96710893175

Toronto, ON M1G 3T5

Canada

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