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.

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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
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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
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Why choose QA

Dates & Locations

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
Administrator DevOps
Administrator Security

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
Administrator DevOps Windows Administration Experience
Administrator Security Windows Administration Experience
Administrator Architect Windows Administration Experience
AI Engineer
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

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
Administrator Windows Administrator Experience

Frequently asked questions

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How can I create an account on myQA.com?

There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.

If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".

If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.

Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.

How do QA’s virtual classroom courses work?

Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.

We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.

Learn more about our Virtual Classrooms.

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.

Learn more about QA’s online courses.

When will I receive my joining instructions?

Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.

When will I receive my certificate?

Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.

Contact Us

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