Data Science foundation for Programmers is a one day course that introduces Programmers to developing Data Science applications.

The hands-on course uses the R Programming language to introduce machine learning algorithms.

The program includes a one day workshop followed by a one week online session to complete the Programming Exercises.

Workshop Outline

What is Data Science

•  An introduction to Data Science
• Data Science process flow/steps
• Machine Learning algorithms
• How to choose an algorithm

The R Programming Language

• Why should you learn R and who is using it
• R in the ‘Big Data world’
• R syntax(Assignments, Data Structures, Flow Control, Functions)
• R packages – an overview
• Loading and Handling Data in R
• Example Datasets

Exploratory Data analysis

1) Understanding your Data:

In this section, we understand the characteristics of the data which help us later in choosing an algorithm. This includes

• Summary in R
• Distributions
• Dimensions of Data – Mean, Standard deviation, Mode
• Data corelations

2) Preprocessing Data :

Here, we understand the steps in preprocessing data including Scale, Center,

Standardize, Normalization and Principal Component Analysis

3) Visualizing Data :

In this section, we discuss techniques to data visualization in R

From Programming to Statistical Programming

• Making Predictions – Supervised and unsupervised learning
• Understanding Linear Regression
• Non linear regression techniques (ex Support vector machines, k nearest, Decision trees)
• Linear classification techniques (ex Logistic regression)
• Non linear classification techniques(ex Neural networks)
• Model Evaluation

R in the wider context

• R in the Big Data world – ex Apache Spark
• Deep learning
• R and Python

Dates and Venue:

London

July 22 9:30 am to 4:30 pm – venue in central London

Miami

Workshop one: Tuesday Aug 2 and Wednesday Aug 3 in the evening 5:30 to 8 pm

Workshop two: Saturday Aug 6 full day (9 am to 4:30 pm)

New York

Aug 10 and 11 in the evening 5:30 to 8 pm

Investment

$199 USD for New York and Miami and

£140 GBP + VAT for UK

For registration (including Online option) please contact [email protected]

Notes

a) Workshops have limited places – please contact fast if interested

b) Outline and Syllabus subject to change

c) The course is hands-on – and you will need to have your own laptop and previously install R on it.(instructions will be provided)

d) You do not need to already know R Programming but you must have some Programming background in a language.