Data Research and Statistical Techniques
Choice of flexible campus or online study.
Pitman Training Essex and Suffolk
Summary
Study now and spread your investment over time with flexible payment plans from £29/month
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Location & dates
2 St Johns Court, Moulsham Street
CHELMSFORD
Essex
CM20JD
United Kingdom
12 Northgate Street
IPSWICH
Suffolk
IP13DB
United Kingdom
Overview
In this course, we’ll cover the fundamental research methodology and modelling concepts that are key to performing robust data analytics, visualisation, and data interpretation.
This course is for anyone who is interested in learning the essential research methods and tools used to draw conclusions from data.
CPD
Description
The course will introduce you to the fundamental concepts of data research, such as quantitative and qualitative research techniques, experimental and non-experimental research approaches, and inferential tests of real-time scenarios.
As you work through the course, you’ll learn descriptive statistics, which summarise data from a sample using indexes, such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation).
The course consists of three modules and includes demonstrations, hands-on activities, and knowledge tests at the end of each section of the course.
Module 1: Data Research Techniques & Statistics for Data Science
- Data Research Techniques;
- Simple Descriptive Statistics;
- Common Approaches to Sampling Data;
- Inferential Statistics
Module 2: Statistical & Hypothesis Tests
- Getting Started with Hypothesis Testing;
- Using the One-Sample T-Test
Module 3: Data Research Techniques & Statistical Approaches
- Data Research Exploration Techniques;
- Data Research Statistical Approaches
Who is this course for?
The aim of the course is to ensure your understanding of the fundamental research methods and tools used to draw conclusions based on data.
This course is designed for those looking to embark on a career in data and analytics, or who need to have an understanding of key approaches to support them in their current role.
Requirements
There are no prerequisites for studying this course.
Career path
To enter the field of data science, it’s essential to learn the techniques underpinning data research
and statistics. A strong understanding of research methodology and modelling is key to performing
robust analytics and data interpretation.
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This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
