INTRODUCTION
The use of statistics in the business world cannot be over emphasized. It is used to find new markets, promote better customer retention, increase sales, and identify sales opportunities. Furthermore, statistics afford managers more confidence in handling uncertainties in business; despite the overflow of available data. It enables managers to make, consistently, quickly and smarter decisions and provide more stable leadership to employees looking up to them. Interestingly, statistics can also provide the necessary objective goals with stand-alone figures and hard evidence to substantiate management positions or decisions and give some level of certainty to directions to which management is taking the company.
In this intensive, exciting and interactive workshop, C4 Consultants will focus on helping participants to develop relevant skills required to gather, analyze and interpret data for effective business decision making.
At the end of this workshop, participants will be able to develop skills in:
· Data Gathering.
· Organizing and Manipulating Data for decision making
· Problem solving through data analysis
· Application data in decision making
· Analysing data for research purpose.
TRAINING OBJECTIVES
At the end of this workshop, participants will be able to:
a. explain sources of data for effective decision making;
b. gather relevant data for the necessary analysis;
c. apply the various analytical tools in analysing research data;
d. interpret data and make necessary predictions and recommendations
e. apply data results in making informed decision;
WHO SHOULD ATTEND?
This C4 Consultants training is designed specifically for:
· Medical Directors and General Managers
· Managers & Administrators
· Researchers, Statisticians and Supervisors
· Financial & Management Accountants
· Entrepreneurs & Business Owners; Officers; etc.
· Officers that want to improve their skills in statistics and being fact based in decision
TRAINING METHODOLOGY
C4 Consultants courses utilise varieties of proven adult learning techniques to ensure maximum understanding, comprehension and retention of knowledge. Interaction, practical exercises and case studies (Learning-by-doing techniques) to ensure practical understanding and retention of information will also be applied.
DETAILED TOPICS / COURSE OUTLINE
Day One: Data Gathering and Manipulation of Data
· Data & Data Gathering
· Data Vs Information
· Manipulation of Data
· Population & Sample Size
Day Two: Descriptive Statistics
· Graphical Displays of Univariate Data
· Data Description-Numerical Measures of Central Tendency for Ungrouped Univariate Data
· Data Description-Numerical Measures of Variability for Ungrouped Univariate Data
· Data Description-Numerical Measures of Position for Ungrouped Univariate Data
Day Three: Exploring Data and Data Analysis
· Exploring Bivariate Data
· Exploring Categorical Data
Day Four: Uncertainty and Probability
· Randomness, Uncertainty and Probability
· Discrete Probability Distributions
· The Normal Probability Distribution
· Sampling Distributions and the Central Limit Theorem
Day Five: Interpretation of Statistics and Making Decisions with Data
· Interpretation of Statistics / Making Decisions with Data