Courses

Data Analysis Fundamentals; Analysing Financial Data for Personal and Organizational Benefit

Instructor
admin
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Course Description

This course provides you with the fundamental skills to enable you to analyse financial data effectively for your personal and organisational benefit – rapidly 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. You will learn how to control data, assess profitability and make sound investment decisions. With the guide of clear explanations, discussions and detailed material in both hard and soft copy it will empower you to transfer skills and knowledge for your personal and organisational benefit. This 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.

Course Objectives:

At the end of this course, delegates will be able to:

  • Use probability to estimate data
  • Select the most appropriate methods of data collection
  • Analyse data using statistical methods
  • Develop data in an interesting and meaningful manner
  • Collect data analysis and forecasting techniques to make business and investment decisions
  • Asses the limitations of data and data analysis and undertake hypothesis testing

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: Audio-visual aids, case studies, power-point presentations, relevant and thought-provoking exercises, Practical demonstrations and facilitated discussions, Participants will gain both theoretical and practical knowledge of the topics

Venue:  

Fee:  

Duration: 2 weeks

Course Date: July 31st – August 4th, 2023

About Instructor

  • admin

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