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Statistics - IOMH - Institute of Mental Health , Online,United Kingdom

Mon, 02 Dec 2024 10:20:55 +04

Every decision starts with data, and Statistics helps you understand it. This Statistics course simplifies the fundamentals of Statistics, making it easier to learn key concepts like averages, probability, and hypothesis testing. It’s designed to help you make sense of numbers in any situation.

You’ll learn how to interpret data, create graphs, and calculate important measures like correlation and regression. This Statistics course also highlights common mistakes people make with data, so you can avoid them. With these skills, you’ll feel confident analysing and presenting information.

Whether you’re a student, researcher, or professional, Statistics can open new doors. Use it to improve your decision-making, solve problems, or support your ideas with facts. Build your understanding of Statistics and start making smarter choices with data today!

Learning Outcomes

Understand key concepts of Statistics.
Calculate measures of central tendency and dispersion.
Learn about correlation, regression, and their applications.
Gain insights into probability and sampling methods.
Visualise data effectively with charts and graphs.
Avoid common statistical mistakes in analysis.

Course Curriculum

Module 01: Introduction to Statistics
Module 02: Measuring Central Tendency
Module 03: Measures of Dispersion
Module 04: Correlation and Regression Analysis
Module 05: Probability
Module 06: Sampling
Module 07: Charts and Graphs
Module 08: Hypothesis Testing
Module 09: Ten Common Statistical Mistakes

Who Is This Course For?

Students needing a strong foundation in Statistics.
Researchers analysing data for studies.
Professionals working with data-driven decisions.
Business analysts interpreting trends and outcomes.
Educators teaching statistical methods.
Anyone curious about data and its applications.

Career Path

Data Analyst – £25K to £45K/year
Business Intelligence Specialist – £35K to £60K/year
Risk Analyst – £30K to £55K/year
Market Research Analyst – £28K to £50K/year
Statistical Researcher – £35K to £65K/year

Cost: 9.99 GBP

Duration: Upto 3 Hours

Statistical Analysis by Using SPSS - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:37 +04

Overview
SPSS renowned as one of the leading statistical packages offers exceptional capabilities for handling complex data manipulation and analysis through user-friendly commands. Its versatile functionality caters to interactive sessions and non-interactive batch processing making it an invaluable asset across various industries. While SPSS remains highly regarded in social science as a cornerstone for statistical analysis its utility extends far beyond those boundaries.

Market researchers health professionals survey companies government entities education researchers marketing organizations data mining specialists and numerous others rely on SPSS to derive actionable insights from their data. SPSS's comprehensive suite of features empowers users to navigate the intricacies of data analysis cementing its status as a trusted solution for professionals across diverse sectors. Its widespread adoption speaks volumes about its capacity to meet the analytical needs of an ever-expanding range of users.

Objective

Understand and explain vital statistical terms and concepts.
Develop a solid foundation in statistical terminology used in data analysis.
Recognise the role and significance of SPSS in statistical analysis.
Comprehend the advantages and benefits of using SPSS for data analysis.
Understand different types of measurements (nominalordinalintervalratio).
Identify and choose the appropriate statistical tests based on research objectives and data characteristics.
Understand the assumptions and requirements of different statistical tests.
Apply statistical techniques to draw meaningful conclusions from the data.
Utilise SPSS effectively for data entrymanipulationand analysis.
Master essential SPSS functions and commands to streamline the analytical process.

Who Should Attend
All employees of financial and accounting and statistics, studies and research and who require to improve their work on the statistical analysis using SPSS.

Course Outlines
Day 1

Introduction to the Concept of Statistics
Definition of Statistics and its Scope
Importance of Statistics in Decision-Making
Statistical Indicators to Measure Processes
Averages: Mean Median and Mode

Day 2

Measures of Dispersion: Range and Standard Deviation
Understanding Population and Sample
Sampling Techniques and Considerations
Introduction to Normal Distribution Concept
Applications of Normal Distribution in Statistics

Day 3

Introduction to SPSS Software
SPSS Options and Functions Overview
Getting Started with SPSS: Interface and Data Files
Data Entry: Manual Input and Importing from Excel
Editing and Manipulating Data Files in SPSS

Day 4

Exploring Your Data in SPSS: Data Visualisation and Summary Statistics
Creating Graphs and Charts in SPSS
Descriptive Statistics in SPSS: Measures of Central Tendency and Dispersion
Interpreting Descriptive Statistics Outputs in SPSS

Day 5

Parametric Significance Tests
Nonparametric Significance Tests
Understanding Hypothesis Testing and Statistical Inference
Applying Statistical Analysis Techniques in SPSS

Cost: 4900 USD

Duration: 5 Days

Statistics Level 1 - NobleProg (UK) Ltd , London, United Kingdom,United Kingdom

Tue, 26 Sep 2017 18:17:44 +04

This course has been created for people who require general statistics skills. This course can be tailored to a specific area of expertise like market research, biology, manufacturing, public sector research.

Introduction

Descriptive Statistics
Inferential Statistics
Sampling Demonstration
Variables
Percentiles
Measurement
Levels of Measurement
Measurement Demonstration
Basics of Data Collection
Distributions
Summation Notation
Linear Transformations
Exercises

Graphing Distributions

Qualitative Variables
Quantitative Variables
Stem and Leaf Displays
Histograms
Frequency Polygons
Box Plots
Box Plot Demonstration
Bar Charts
Line Graphs
Exercises

Summarizing Distributions

Central Tendency
What is Central Tendency
Measures of Central Tendency
Balance Scale Simulation
Absolute Difference Simulation
Squared Differences Simulation
Median and Mean
Mean and Median Simulation
Additional Measures
Comparing measures
Variability
Measures of Variability
Estimating Variance Simulation
Shape
Comparing Distributions Demo
Effects of Transformations
Variance Sum Law I
Exercises

Normal Distributions

History
Areas of Normal Distributions
Varieties of Normal Distribution Demo
Standard Normal
Normal Approximation to the Binomial
Normal Approximation Demo
Exercises

Cost: 4500 USD

Duration: 2 Days