Monthly Archives: August 2017

Commencement Date:           30thSeptember, 2017

Fee:                                         (Fees includes Tuition, Course materials, Exams and Certificate)

Schedule:                                Weekends (Saturdays only)

Duration:                                Four (4) Months

 

Introduction

The Oil & Gas industry is developing at a fast pace in today’s market economy, as a result new professional development priorities are being set. This has placed a high demand on qualified professionals in Safety, Health & Environment in the Oil & Gas Industry and Entrepreneurial Development.

The training aims at equipping participants with the requisite knowledge to work effectively and efficiently in the industry. The training will cover Safety, Health & Environment and Entrepreneurial Development.

Benefits

  • To equip participants with valued knowledge in Health and Safety in the Oil & Gas Industry
  • To equip participants in Health and Safety Management System
  • Participants will know the Environmental Impact in the Oil and Gas Industry

Broad topical areas

  • Environment, Safety and Health Studies in the Petroleum Industry
  • Quality Standards and Energy Security Studies
  • Fire Hazards, Risks and Prevention Strategies
  • Strategic Planning and Scenario Development in the Petroleum Industry

TARGET GROUP

Participants expected on this programme include Economists, Engineers, Scientists, Technicians, Business Development Practitioners, Planning Practitioners, Oil and Gas Professionals, Fire Service Personnel and Government Officials.

 

Duration

23rd -27th October to 9th-13th October

Time: 9:00 – 3:00pm

 

COURSE OBJECTIVE

At the end of the course, students should be able to:

  1. Distinguish between qualitative and quantitative data analysis and procedures
  2. Conceptualize, state, test hypotheses and explain the conclusions
  3. Distinguish between parametric and non-parametric analysis
  4. Select appropriate statistical techniques for data analysis
  5. Produce professional quality reports

 

COURSE CONTENT

Main Application software will be SPSS, and Excel

  1. Data Analysis in the Research Process
    • Types of Qualitative Data
    • Transcription and analysis (summarizing, categorization and thematization; interpretation; constant comparative causal pathways, cross-site analysis, inductive analysis, concept mapping etc.)
    • Presentation (text, matrices, charts, pictures, tables, sound)
    • Quantitative Data management
  2. Scale of measurement – measure of central tendency
    • Introduction to SPSS: File creation, Dialogue boxes, Definition of variables and management, Missing Values, Data entry, Saving and retrieving data, backing up files
    • Data screening and cleaning, Reliability, Overview of Open-ended items & Coding Manual,
  3. SPSS: Coding and recording, Transformation – computation, merging files (cases or variables). Selecting cases – Conditions; Combining Logical Relationships, versions of files
  4. SPSS: Data processing and analysis
    • Linkage to objectives, All instruments, Data summary,
    • Exploration, Stem and leaf, Frequencies, Pivot table editing,
    • Descriptives, Standardization, Percentiles and Quartiles
  5. SPSS: Inferential statistics
    • Exploring relationships (correlation (Pearson and Spearman), regression, cross-tabs, chi-square – phi, Cramer’s V), Mann-Whitney U Test, Wilcoxon Signed Rank Test, Kruskal-Wallis Test
    • Comparison between means – Paired, Independent samples, One sample – T, Z, etc tests, ANOVA (1,2 way), Effect size
  6. Excel:
    • MegaStats tools
    • Mathematical operations, Data transformation, Analysis tools, Insert functions, Descriptives, Skewness, Kurtosis, Percentiles & Quartiles, Standardization, Fractions, sumproduct
    • Histogram, Other graphs (bar, pie, line, S&D, Lorenz)
    • Inferential statistics – Sampling, T-test, Z-test, F-test, ANOVA (1,2 way), Difference between proportions
    • Pivot table and chart report – One Variable, two variable tally, Grouping categories in charts
    • Excel Logical Functions

MODE OF DELIVERY

Through demonstrations