Data Analysis Fundamentals

An Intensive 5-day Training Course

Data Analysis Fundamentals

Analysing Financial Data for Personal & Organisational Benefit

  • Format: Classroom
  • Duration: 5 days
  • Language: English
  • Accredited: CPE, KHDA Certified training courses
Data Analysis Fundamentals

CLASSROOM DATES

Date Venue Fee CPE Credit
Date: 19-23 May 2024
Venue: Manama
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 19-23 Aug 2024
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 08-12 Dec 2024
Venue: Manama
Fee: US $5,950
CPE Credit: 30
Enroll Now

ONLINE DATES

Date Venue Fee CPE Credit
Date: 20-24 May 2024
Venue: Live/Online
Fee: US $3,950
CPE Credit: 30
Enroll Now
Date: 19-23 Aug 2024
Venue: Live/Online
Fee: US $3,950
CPE Credit: 30
Enroll Now
Date: 09-13 Dec 2024
Venue: Live/Online
Fee: US $3,950
CPE Credit: 30
Enroll Now
INTRODUCTION

This highly participative EuroMaTech training course provides you with the essential skills to enable you to analyse financial data effectively for your personal and organisational benefit – very quickly moving you from a beginner to a trained and highly effective data analyst, capable of evaluating stock prices, sales, exchange rate and oil prices.  It will improve every aspect of your role from your ability to collect data to data presentation and analysis.

Delegates will work through practical case studies, analysing movement in share prices, sales, costs as well as exchange rates and oil prices. You will learn how to manipulate data, assess profitability and make sound investment decisions. With the aid of clear explanations, discussions and detailed material in both hard and soft copy it will enable you to transfer skills and knowledge for your personal and organisational benefit.

In this Data Analysis Fundamentals training course, participants will develop the following competencies:

  • Analytical skills to improve your understanding and decision making
  • Communication skills supported by graphical and statistical analysis
  • Excel skills to aid presentation and analysis of business data
  • An ability to forecast data
  • Basic Statistical knowledge and skills
TRAINING OBJECTIVES
  • Select the most appropriate Methods of Data Collection
  • Present Data in an interesting and meaningful manner
  • Analyse data using statistical methods
  • Use Probability to estimate data
  • Understand the Limitations of Data and Data Analysis and undertake Hypothesis Testing
  • Use Data Analysis and Forecasting Techniques to make business & investment decisions

WHO SHOULD ATTEND?
  • Professionals who wish to gain an introduction to Data Analysis in order to improve their analytical skills and understanding of data
  • Personnel moving into roles where they will need to produce data and / or use data to make decisions
  • Individuals interested in investment analysis and  stock price performance
Training methodology
TRAINING METHODOLOGY

Delegates will be provided practical work to enable them to actively participate and develop their skills in the evaluation of practical case studies relevant to their workplace. This EuroMaTech training course will also use clear explanations, discussions and video material to aid understanding and development, moving delegates from beginners to proficient analysts.

TRAINING SUMMARY

This EuroMaTech training course covers the essential skills to enable you to collect, present, and analyse data. It will enable delegates to make a significant personal impact within their organisation, capable of understanding data provided or to use data to make meaningful business and investment decisions.

TRAINING OUTLINE
Day 1: Data and Methods of Data Collection
  • Types of Data – Primary and Secondary Data; Quantitative and Qualitative Data
  • The Role of Data Analysis in Business
  • Methods of Collecting Data – Surveys, Interviews, Focus Groups etc.
  • Sample Design – Random, Systematic, Stratified etc.
  • Planning a Sampling Survey
  • Organising the Data Received and Information Management
Day 2: Presentation of Data
  • Methods of Presentation
  • Using Excel to aid Presentation
  • Simple Bar Charts, Line Graphs, Pictogram, Pie Charts etc
  • Time Series Analysis
  • Interpolating and Extrapolating
  • The Interpretation of Data Presentation
Day 3: Statistical Analysis of Data
  • Random Variables – Discrete and Continuous
  • Using Excel to aid Analysis
  • Mean, Median and Mode
  • Variance and Standard Deviation
  • Co-variance and Correlation
  • Probability – Binomial, Normal and Poisson Distribution
Day 4: Evaluating Data and Decision Making
  • The Limitations of Data and Data Analysis
  • Populations and Samples
  • Confidence Intervals
  • Hypothesis Testing
  • Testing 2 Means – Independent and Paired Samples
  • Decision Making using Decision Trees
Day 5: Data Analysis and Forecasting Techniques
  • Forecasting, Sales; Costs; Budgets, Production etc
  • An Introduction to the Data Analysis Tools in Excel
  • What-If Analysis and Scenario Manager using Excel
  • Linear Regression
  • Basic Solver and Goal Seek
  • Variance Analysis – comparing Forecast to Budgets
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    ACCREDITATION

    EuroMaTech is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit.

    Euromatech is a Knowledge & Human Development Authority (KHDA) approved training institute in Dubai, licensed and approved to deliver training courses in the UAE.

    The KHDA is the regulatory authority in the UAE, that oversees administering, approving, supervising, and controlling the activities of various education providers in the UAE.  We are proud of our commitment to ensuring quality training courses and status as a KHDA-approved training provider.

    Taught by our team of highly qualified trainers, our KHDA approved training courses will provide you with an enriching learning experience and practical knowledge that will help you future-proof your career and support professional development within your organisation.

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