## Overview

A broad coverage of statistics for Data Analysis.

This three day course is designed for anyone who's going to make a career working in data. It is practical in nature and will take you through the statistical fundamentals that you're going to need to thrive as a data analyst or scientist.

Whether you work with Excel, R, Python or any other data solution, you will need to understand statistics to get your data analysis off the ground.

The course is taught using R for programming illustration with a focus on statistic that applies across domains.

## Target Audience

Aimed at fledging data practitioners who wish to have a practical understanding of statistical methods.

## Prerequisites

• GCSE mathematics or above
• An interest in mathematical and logical thinking
• No prior experience of R is assumed, although prior experience will be an advantage

## Course Outline

Introduction to R

• RStudio
• Data Structures
• Flow and Functional Programming

Introduction to Data

• Exploring Data
• Summarizing Data

Probability

• Bayes Rule and Conditional Probability
• Random Variables

Statistical Distributions

• Bernoulli
• Normal
• Binomial
• Poisson

Inferential Statistics

• Point Estimates
• Hypothesis Testing
• Confidence Levels

Inference for Numerical Data

• T-tests
• ANOVA

Inference for Categorical Data

• Proportions
• Chi-Square

Machine Learning as Statistical Inference

• Regression
• Classification

## AWS learning paths

Want to boost your career in AWS? Click on the roles below to see QA‘s learning pathways, specially designed to give you the skills to succeed.

= Required
= Certification
Data Scientist
Data Engineer
Developer Software Development
Architect Enterprise Architecture Experience
Data Scientist Average salary: £62,000 (based on QA research)
Data Engineer Average salary: £70,000 (based on QA research)
Developer Average salary: £76,250 (based on QA research)
Architect Average salary: £90,000 (based on QA research)
Administrator Average salary: £45,000 (based on QA research)
Administrator Average salary: £45,000 (based on QA research)

## Azure learning paths

Want to boost your career in Azure? Click on the roles below to see QA‘s learning pathways, specially designed to give you the skills to succeed.

= Required
= Certification
Data Scientist
Data Engineer
Developer .NET Experience
Architect Enterprise Architecture Experience
AI Engineer
Data Scientist Average salary: £62,000 (based on QA research)
Data Engineer Average salary: £70,000 (based on QA research)
Developer Average salary: £57,500 (based on QA research)
Architect Average salary: £80,000 (based on QA research)
Administrator DevOps Average salary: £50,250 (based on QA research)
Administrator Security Average salary: £50,250 (based on QA research)
Administrator Architect Average salary: £50,250 (based on QA research)
AI Engineer Average salary: £60,000 (based on QA research)

## Data, Analytics & AI learning paths

Want to boost your career in data, analytics and AI? Click on the roles below to see QA's learning pathways, specially designed to give you the skills to succeed.

= Required
= Certification
Data Scientist Accelerated Analytics
AI Engineer NVIDIA
AI Engineer Microsoft
Data Scientist Average salary: £65,000 (based on QA research)
AI Engineer Average salary: £60,000 (based on QA research)
AI Engineer Average salary: £60,000 (based on QA research)

## GCP learning paths

Want to boost your career in Google Cloud Platform? Click on the roles below to see QA‘s learning pathways, specially designed to give you the skills to succeed.

= Required
= Certification
Data Scientist
Data Engineer
Developer Software Development Experience
Architect Enterprise Architecture Experience
Data Scientist Average salary: £62,000 (based on QA research)
Data Engineer Average salary: £70,000 (based on QA research)
Developer Average salary: £55,000 (based on QA research)
Architect Average salary: £80,000 (based on QA research)
Administrator Average salary: £51,250 (based on QA research)

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### How do QA’s online courses work?

QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.