Update concerning COVID-19 – Distance Learning (home study) courses are still available. Find out more about distance learning at Pitman Training

Update concerning COVID-19 – Distance Learning (home study) courses are still available. Find out more about distance learning at Pitman Training

Data Research and Statistical Techniques

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.

Is this for you?

This course is for anyone who is interested in learning the essential research methods and tools used to draw conclusions from data.

Award and Associated Qualifications

Awarded 12 CPD points upon successful completion

Start Date

Flexible

Study Type

in centre, Online, or a combination

Training Type

course

Duration

12 hours

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    About this course

    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.

    Course Content

    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

    Aims and Objectives

    Pre-Requisites

    Finance Options

    Career Path

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      What's the difference?

      We offer a range of training packages in a range of subject areas and can offer blended learning opportunities to best meet your needs

      Course

      Our courses are practical in nature and focus on a single subject and can last anywhere from a few hours to a few days.

      Diploma

      Diplomas are designed to give you a complete skillset mapped to a specific career path and contain a number of core and elective courses