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
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Data, Analytics & AI learning paths
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Google Cloud learning paths
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Frequently asked questions
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Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
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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.
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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.