Presentation Skills | Data Analysis Training in Virtual

Data Analysis Skills Course Outline

 Module 1: Introduction 

• Data Analysis and Synthesis
• What are Statistics?
• Statistics Within the Business

Module 2: Defining the Problem or Opportunity 

• Defining the Problem – What Tools to Use?
• PDCA (Plan, Do, Check, Act)

Module 3: Evidence/Fact Driven Analysis 

• Step Data Collection Process
• List of Criteria for Good Measure
• Gauge R&R
• Measurement System Resolution
• Chunking
  • Data
  • Principles
  • Data and Visual Management (Visual Factory)
• Cognitive Bias
• Introducing Inductive and Deductive Approaches to Validate Data
• Developing and Testing Hypotheses

Module 4: Introduction to Hypotheses Testing

• Hypotheses Testing
• Null and Alternate Hypothesis
• P-Value
• How can the P-Value help?
• Using Control Groups as a Baseline
• What is Skewed Data?
• Using Sigma to Identify If the Process is in Control
• Control Charts
• JQT Zones and Assignable Cause Tests
• Normal Distribution and Normal (Bell) Curve
• Standard Deviation (σ)
• Normal Distributed Bell-Shaped Curve
• Data Classification
• Dependent Vs Independent
• Classes of Data Variable
• Discrete Variables
• Binary and Variables
• Why is the Class of Data Important?
• Hints and Tips
• Steps to Work with Survey Data
• Steps to Follow when Working with Survey Data
• Working with Decision Variables
• Internal and External Constraint
• Constraints and Process Capability 
• CP Process Capability 
• Cpk
• Reliability of Predictions
• Identifying Variables that You Can Control
• Optimise Your Data Worksheet

Module 5: Calculating Probability Using a Statistical Package 

• Probability Defined
• Variation Terminology
• Averages
• Distribution Curves
• Sensitivity Analysis

Module 6: Scatter Diagrams and Regression 

• Scatter Diagrams
• Regression
• Forecasting
• A Scatter Diagram is the First Step Towards Regression Analysis
• Correlation Coefficient

Module 7: Identifying the Root Cause 

• 5 Whys
• Cause and Effect Diagram to Investigate the Root Causes of Repeat Calls 
• Fishbone
• Reverse Fishbone Diagram
• Decision and Probability Trees
• Earned Value Management
• Monte Carlo Simulation
• Earned Value Analysis
• Perform Sensitivity Analysis Through Random Parameter Variation
• Heuristics
• Using Graphics to Present Data

Module 8: Charts 

• Histograms
• Pareto Charts
• Tornado Charts
• Using Graphics to Present Data

Who should attend this Data Analysis Skills Course?

The Data Analysis Skills Training Course is ideally suited for individuals who are looking to enhance their proficiency in handling and interpreting data to make informed decisions and gain valuable insights. This Presentation Skills Course can be beneficial to a wide range of professionals, including:

• Data Analysts
• Business Analysts
• Data Scientists
• Market Researchers
• Financial Analysts
• Marketing Analysts
• Operations Analysts

Prerequisites of the Data Analysis Skills Course

There are no formal prerequisites for this Data Analysis Skills Training Course.

Data Analysis Skills Course Overview

The Data Analysis Skills Training Course offered by The Knowledge Academy is designed to equip delegates with essential tools and techniques to harness the power of data effectively. Whether you are in business, healthcare, finance, or any industry, understanding Data Analysis is pivotal for enhancing productivity, improving processes, and gaining a competitive edge.

Proficiency in this Presentation Skills Training Course is a vital skill set sought after by professionals across various domains. Business Analysts, Data Scientists, Marketers, and even Managers benefit from understanding Data Analysis. In an era where data is abundant, the ability to uncover actionable insights from datasets empowers professionals to make informed decisions, optimise strategies, and drive organisational success.

The Knowledge Academy’s intensive 1-day Presentation Skills Course offers delegates a fast-track journey to becoming proficient in Data Analysis. Delegates will learn to gather, clean, and visualise data, perform statistical analyses, and interpret results effectively.

Course Objectives

• To understand the fundamentals of data analysis and its applications
• To learn about data collection and pre-processing techniques
• To gain expertise in data visualisation for effective communication
• To explore statistical analysis methods for data-driven decision-making
• To apply Data Analysis techniques to real-world scenarios
• To interpret and communicate results effectively
• To build a foundation for advanced Data Analysis and Machine Learning

After completing this Presentation Skills Training Course, delegates will have a solid foundation in Data Analysis techniques, enabling them to make data-driven decisions confidently. They will be better equipped to extract valuable insights from datasets, enhance their problem-solving abilities, and contribute significantly to their organisations' success.

What’s included in this Data Analysis Skills Course?

• World-Class Training Sessions from Experienced Instructors 
• Data Analysis Skills Certificate
• Digital Delegate Pack