Big Data Courses

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Please download Jupyter for Linux, Mac, and Windows. You’ll be using it to run the workshops. There are installation instructions and the first thing you should do is open the R – Jupyter Essentials in 5 Minutes.ipynb notebook for R and the Python – Jupyter Essentials in 5 Minutes.ipynb for Python.

INTRODUCTION TO STATISTICS

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The purpose of this course is to introduce students to data basics which they can then apply for data analysis. The following topics are covered in the course:

variables and cases
samples vs populations
describing data
mean, median and mode
variance and standard deviation
confidence intervals
hypothesis testing

The purpose of this course is to teach you how to make your data more oragnised and easier to read. Topics covered in this course include:

introductory data science vocabulary
basic R
data structures
the data analysis process

DATA MANIPULATION USING R

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DATA MANIPULATION USING PYTHON

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The purpose of this course is to teach you how to make your data more oragnised and easier to read. Topics covered in this course include:

Introductory data science vocabulary
basic R
data structures
the data analysis process

This course will focus on teaching you about the various visualisation forms available to best represent various data types. Topics covered in this course include:

data visualisation types (correlation heat maps, scatter plots, bar charts, pie charts)
the grammar of graphics
layering
local vs. global features
geographical mapping
data cleaning.