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Statistics for Data Analytics

A Beginner level 12-hour course delivered via Instructor-led Virtual Classes.

Regular Price: £420 (Approximately $566.99 USD)
Batch Price: From £420 (approx. $567 USD)  📅  View Dates & Prices

Group Booking Discount: From £240 per person(approx. $324 USD)  🧮 Calculate & Book

1-to-1 Training: £420(approx. $567 USD)  📋 Booking Request Form
Statistics for Data Analytics Trainign Course

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:


Course Content

  1. 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
  2. Descriptive Statistics
    • Measures of central tendency: mean, median, mode
    • Measures of variability: range, variance, standard deviation
    • Data visualisation: histograms, bar charts, box plots, scatterplots
  3. Probability Basics
    • Definition and basic concepts of probability
    • Probability rules: addition and multiplication rules
    • Independent and dependent events
    • Conditional probability
  4. Probability Distributions
    • Discrete vs. continuous probability distributions
    • Binomial distribution
    • Normal distribution and its properties
    • Standard normal distribution and z-scores
  5. Inferential Statistics
    • Sampling methods and sample size
    • Central Limit Theorem
    • Confidence intervals
  6. Hypothesis Testing
    • Null hypothesis
    • T-tests
    • Chi-squire test of association
  7. Correlation and Regression
    • Scatterplots and correlation
    • Pearson correlation coefficient
    • Simple linear regression: interpretation of slope and intercept
    • Introduction to multiple regression


Course Dates, Prices & Enrolment

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What we do?

At London Academy of IT, we provide instructor-led online and in-person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting-edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for.

Our Contacts

London Academy of IT
64 Broadway
Stratford
London E15 1NT
United Kingdom

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