Regular Price: £210 Batch Price: From £210 📅 View Dates & Prices Group Booking Discount: From £120 per person 🧮 Calculate & Book 1-to-1 Training: £210 📋 Booking Request Form Course Overview The Essential Statistics for AI & Machine Learning course is designed to provide the essential statistical concepts required to understand machine learning and artificial intelligence without unnecessary academic theory. The course focuses on practical concepts that learners regularly encounter in data analysis, machine learning and deep learning projects. Through simple examples, visual explanations and hands-on exercises using Microsoft Excel and pen-and-paper activities, learners will understand how data behaves, how models learn patterns, and how to interpret model results. This course acts as a strong foundation for learners progressing to Data Science and Machine Learning with Python and AI and Deep Learning with Python. Requirements Basic arithmetic skills (e.g., addition, subtraction, multiplication, division) Basic understanding of Microsoft Excel No statistics background is required Software: Microsoft Excel (2016 or later recommended), Google Sheets, or other compatible spreadsheet software. Hardware: A Windows PC or Mac with internet access Course Content Statistics and Data Fundamentals Why statistics matters in AI and machine learning Types of data Numerical vs categorical Continuous vs discrete Features vs target variables Understanding datasets Business examples of data Descriptive Statistics Mean Median Mode Range Variance Standard deviation Understanding data spread Outliers and their impact Data Distribution and Probability Basics What probability means Probability examples in business Independent vs dependent events Normal distribution Skewed distribution Understanding distributions with histograms Z-score concept Relationships Between Variables Scatterplots Correlation Positive vs negative correlation Strong vs weak correlation Correlation vs causation Introduction to regression concept Statistics for Machine Learning Train vs test data Why models make mistakes Overfitting vs underfitting Feature scaling concept Why data preparation matters Model Evaluation Metrics Classification metrics Confusion matrix True Positive (TP) True Negative (TN) False Positive (FP) False Negative (FN) Accuracy Precision Recall F1-score Regression metrics MAE MSE RMSE R² (R-squared) Course Dates, Prices & Enrolment All Training Physical Classes Virtual Classes UTC British Time (UK, Ireland, Iceland) Central European Time (France, Germany, Sweden) Eastern European Time (Finland, Cyprus) Eastern Time (New York, Toronto, Montreal) Central Time (Chicago, Houston, Winnipeg) Mountain Time (Calgary, Denver, Edmonton) Mountain Time (Phoenix) Pacific Time (Los Angeles, Seattle, Vancouver) Singapore Time Arabic Standard Time (Qatar, Saudi Arabia) Gulf Standard Time (UAE, Oman) Australian Eastern Time (Sydney, Melbourne) Australian Central Time (Adelaide) Western Australia Time (Perth) New Zealand Time China Standard Time (China, Taiwan, Hong Kong) Scroll right for more details Delivery MethodDates & TimesHoursPriceEnrolment Classroom Training 08 Jul 2026 - 15 Jul 2026 2 Wednesdays 10:00 AM - 01:00 PM BT 6-hour over 2-day £210 Enrol Now Online Training using Zoom 08 Jul 2026 - 15 Jul 2026 2 Wednesdays 10:00 AM - 01:00 PM BT 6-hour over 2-day £210 Enrol Now Online Training using Zoom 11 Aug 2026 - 13 Aug 2026 Tuesday & Thursday 03:00 PM - 06:00 PM BT 6-hour over 2-day £210 Enrol Now Price Calculator & Booking Request Form Calculate prices for Corporate, 1-on-1 or group training and request a booking. Do you have a special training requirement or unable to find any suitable training date? Please complete and submit the booking request form, if you want to: book a course on different dates book for a group of delegates book corporate training book a customised training book a one-on-one training The price person is less when you book a course for more people. You can find the price per person and the total cost by changing the values of the training hours and the number of people below: How many hours? How many people? Total Cost Price per person Preferred Dates and Times Any other information
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