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Course Rating

Out of 31 verified reviews

"I was a novice in data analytics, but this course made it accessible. Practical projects and hands-on experience were key."

David

""I found this course to be incredibly informative. The comprehensive training and real-world applications made all the difference in my data analysis journey."

Helen

Price £195 (no VAT) Time 9:00am-2:00pm Venue Llynfi Enterprise Centre, Bridgend County, CF34 0BQ

Course Overview

The one-day Data Analytics course is designed to provide participants with a comprehensive introduction to the field of data analytics and its practical applications. Data analytics is the process of examining and interpreting data to uncover meaningful patterns, insights, and trends that can drive informed decision-making. This course aims to equip participants with the essential knowledge and skills to leverage data analytics effectively.

The course begins with an overview of data analytics, exploring its role in various industries and domains. Participants will learn about the different types of data analytics, such as descriptive, diagnostic, predictive, and prescriptive analytics. They will understand how data analytics can be used to gain insights, solve problems, and drive business outcomes.

Next, participants will dive into data exploration and preparation. They will learn techniques to clean and preprocess data, handle missing values and outliers, and ensure data quality. Exploratory data analysis methods will be covered, including descriptive statistics and data visualisation. Participants will gain the skills to analyse and summarise data effectively.

By the end of the course, participants will have a strong foundation in data analytics principles and techniques. They will be equipped with practical skills to explore and analyse data effectively, derive meaningful insights, and make data-driven decisions in their respective fields.

Course Dates 2024

June: Fully Booked

July: 4th, 11th, 18th, 25th

August: 1st, 8th, 15th, 22nd, 29th

September: 5th, 12th, 19th, 26th

October: 3rd, 10th, 17th, 24th, 31st

Course Content

• Introduction to Data Analytics
• Types of Data Analytics
• Data Exploration and Preparation
• Exploratory Data Analysis
• Descriptive Statistics
• Data Visualisation
• Statistical Analysis
• Hypothesis Testing
• Regression Analysis
• Clustering Techniques
• Classification Techniques
• Introduction to Machine Learning for Data Analytics
• Model Training and Evaluation
• Implementing Machine Learning Algorithms
• Ethical Considerations in Data Analytics

Who is this course for?

This course is suitable for professionals and individuals from various backgrounds who want to enhance their understanding of data analytics. It is beneficial for data analysts, business professionals, researchers, and decision-makers who seek to leverage data to gain insights, solve problems, and make informed decisions. The course caters to both beginners in data analytics and those with some familiarity with the subject.