Statistics for Data Analytics

Total Duration: 12-Hour
Course level: Beginner
Delivery Method: Instructor-led Virtual Classes

Regular Price: £420 (Approximately $558.90 USD)
Batch Price: From £360 (approx. $479 USD)  📅 View Dates & Prices
Group Booking Discount: From £240 per person(approx. $319 USD)  🧮 Calculate & Book
1-to-1 Training: £420(approx. $559 USD)  📋 Booking Request Form

Course Overview

This course comprehensively introduces the key statistical concepts and techniques essential for data analytics using Excel. It is designed for individuals looking to build a statistics foundation, focusing on practical applications in data-driven decision-making. Throughout the course, students will learn to apply statistical methods to real-world data, interpret the results, and use these insights to inform business decisions.

Requirements

Basic arithmetic skills (e.g., addition, subtraction, multiplication, division)
Basic understanding of Microsoft Excel
No statistics background is required

You may also complete the following course(s) before attending the Statistics for Data Analytics course but they are not mandatory:

Microsoft Excel for Beginners

Course Dates, Prices & Enrolment

All Training Physical Classes Virtual Classes

Time Zone:

Training Method	Dates and Times	Total Hours & Days	Price
Online Training using Zoom	17 Nov 2025 - 28 Nov 2025 Mon, Wed & Fri (2 wks) 10:00 AM - 12:00 PM ET	12-hour over 6-day	£360 £420 (approx. $479 USD)	Enrol Now
Online Training using Zoom	18 Nov 2025 - 04 Dec 2025 3 Tuesdays & 3 Thursdays 01:00 PM - 03:00 PM ET	12-hour over 6-day	£360 £420 (approx. $479 USD)	Enrol Now
Online Training using Zoom	22 Nov 2025 - 13 Dec 2025 4 Saturdays 10:00 AM - 01:00 PM ET	12-hour over 4-day	£360 £420 (approx. $479 USD)	Enrol Now
Online Training using Zoom	06 Jan 2026 - 22 Jan 2026 3 Tuesdays & 3 Thursdays 10:00 AM - 12:00 PM ET	12-hour over 6-day	£420 (approx. $559 USD)	Enrol Now

Note: Online classes are usually delivered through Zoom video conferencing.

Course Content

Introduction to Statistics and Data Analytics
- Definition and importance of statistics in data analytics
- Types of data: qualitative vs. quantitative
- Types of statistics: descriptive vs. inferential
Descriptive Statistics
- Measures of central tendency: mean, median, mode
- Measures of variability: range, variance, standard deviation
- Data visualisation: histograms, bar charts, box plots, scatterplots
Probability Basics
- Definition and basic concepts of probability
- Probability rules: addition and multiplication rules
- Independent and dependent events
- Conditional probability
Probability Distributions
- Discrete vs. continuous probability distributions
- Binomial distribution
- Normal distribution and its properties
- Standard normal distribution and z-scores
Inferential Statistics
- Sampling methods and sample size
- Central Limit Theorem
- Confidence intervals
Hypothesis Testing
- Null hypothesis
- T-tests
- Chi-squire test of association
Correlation and Regression
- Scatterplots and correlation
- Pearson correlation coefficient
- Simple linear regression: interpretation of slope and intercept
- Introduction to multiple regression

Certification

Certificate of Completion will be provided after completing the course

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