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Introduction to Data Analytics – C8149

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Course Overview

Learn about data cleaning, data manipulation and creating data-based visualisations and final insights. This condensed course aims to introduce you to the fundamental tools used by data analysts, providing a sneak peek into the dynamic field of data analytics. Subjects explored includes data analysis on energy consumption.

By the end of the taster workshop, you will have crafted an analytics portfolio showcasing your newfound skills in Excel and SQL. Engage in practical analysis of the popular movies dataset, demonstrating your ability to manipulate data and derive meaningful conclusions.

What You'll Learn

Year 1

You will learn how to transform, organize, and visualize data using widely used spreadsheet tools like Excel. Gain hands-on experience in leveraging Excel for efficient data manipulation and representation. Brief assessments at the end will be designed with a beginner-friendly approach, and will ensure that participants grasp the fundamentals of the tools and can apply them in practical scenarios.

Entry Requirements

You are required to have at least a level 2 or GCSEs grade 4 (C) or above in English and maths.

How you will be assessed

Practical assessments demonstrating your ability to manipulate data and derive meaningful conclusions. Individuals who are curious about data analytics and wish to understand the foundational tools and techniques used in the field. This taster workshop provides a hands-on introduction to data analysis, with a light focus on energy consumption datasets.

Course Fees

Tuition fees

Tuition Fees (16-18): £0.00

Tuition Fees (19+): £0.00

Disclaimer

If the course is longer than one year the total fees are for the first year only and further fees may apply in future years. All fees are based on a ‘home’ learner status. Please contact us for information on overseas fees.

For more information, please see our course fee disclaimers page.

Learn more about fees

Course and Career progression

This workshop serves as a stepping stone into attaining level 4 modules in data analytics as part of the Higher Technical Qualification (HTQ) in Software Engineering, and is designed to enable you to demonstrate knowledge, skills and behaviours and develop employability skills to attain the HTQ (Higher Technical Qualification) status recognised by employers.

What Happens Next

Apply online via the College website. You will be contacted to attend an interview if required, or you will be sent a conditional offer according to the entry requirements for the course. You will then be invited in to enrol for your chosen course of study.

For enrol and pay courses: Once you have decided to take the course, you need to fill in a short student details form online. Once you have done this, you will receive an electronic confirmation of enrolment and payment.

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