APPS DAY - WORKSHOP#1

Sponsored by

kindly offered by Manos Antoniou from PyData Piraeus Meetup

Time / Duration

21.Mar / 11:00-14:00 (3h)

Speaker: Manos Antoniou
email: antoniouma@gmail.com 
LinkedIn: https://www.linkedin.com/in/manos-antoniou-a558001b/

This 3-hour course will provide an overview of using R & tidyverse, for solving real-word business problems. The session will step through the process of using the R tidyverse packages for data wrangling, transform data, grouping, summarizing, visualizing & develop machine learning models. The tidyverse is a collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures. The goal of the course is to provide a thorough workflow in R & tidyverse that can be used with many different business problems. Case studies on real data will be used to illustrate the functionality.

Level:
Beginner / Intermediate

Target audience:
Students, Data analysts, Data scientists

Prerequisites on Audience:
a) SW/HW: 
All attendees should bring a laptop with the following system requirements (i3 CPU or better, at least 4GB of RAM, at least 1 GB of free disk space, OS Windows 10/8/7 or MacOS 10.12+ or Ubuntu 14/16/18, R latest version & R studio latest version installed).

b) Know-how: 
No prerequisite knowledge needed in R Programming, Statistics, Data Science, or Machine Learning. Although a basic understanding of statistical analysis & R language will help.

Deliverables:
R notebooks containing all code generated during the 3 parts of the workshop & presentations used will be delivered to all participants.

Schedule:

1st PART – Introduction to R & Tidyverse

  •  Introduction to R
  • Training in tidyverse libraries (dplyr, tidyr, ggplot2, readr, purr, tibble, stringr, forcats)
    • Data wrangling
    • Tidy data
    • Grouping & summarizing
    • Visualize data
    • Modelling

2nd PART – Customer segmentation case study

  • ETL
  • Exploratory analysis
  • Modelling
  • Visualization

3rd PART – Churn prediction case study

  • ETL
  • Exploratory analysis
  • Modelling
  • Visualization