Data Analysis Fundamentals

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This highly participative Bnet Learning training course provides you with an introduction to the essential skills required to enable you to collect, present and analyse data. Very quickly you will go from a beginner to a highly effective data analyst using Excel to present and evaluate business data.

Delegates will work through practical case studies. 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 to your workplace. 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

OBJECTIVES

Learn how to:

  • 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 decisions
  • Constantly being updated with new content and covering more areas of business data analysis.
  • Be more productive and creative in their use of Microsoft Excel for business and reporting
  • Become proficient in using PivotTables for analyzing a large data

 

QUICK FACTS

  • Course ID: EL/DA/01
  • Level: Advanced
  • Language: English
  • Duration: 3 Days
  • Professional Development Earnings: 24 PDUS | 24 CDUS | 24 PD Hours
  • Cost: NIGERIA #65,000 | CANADA $410
  • Minimum Class Size: 8
  • Maximum Class Size: 15
  • Available Locations: Lagos | Calgary | Abuja | Port Harcourt | Dubai |

OUTLINE

Module 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
  • Organizing the Data Received and Information Management
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₦65,000.00
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