03. December 2019 - 17:30
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Statistics Course: Level 1 | Sydney Campus, ELI-229 Lecture Room | Tuesday, 03. December 2019

Learn to make good business decisions based on your data with our Statistics courses in Statistics with our Statistics courses in Sydney - short courses open to statistics course provides a solid foundation for interpreting and presenting data. This statistics course covers how you can evaluate data and make a robust and objective conclusion. This is an essential skill as data and information is embedded in every aspect of our lives. It is therefore vital that we know how to interpret and deal with statistics course is the first step in interpreting and applying statistics in diverse fields including marketing, sales, finance, public and social policy, and a wide range of projects that hinge on utilising data accurately. The course will commence by examining the nature of data and the use of statistics and graphs to summarise this data. Some simple statistical calculations will be demonstrated. We will then examine data distributions, with particular reference to frequency distributions and the normal distribution. The formulation and testing of hypotheses using statistics is covered and how either surveys or experiments can be utilised for collecting the data needed for testing procedures. The application of probabilities will be explained and some simple models for prediction outlined using regression completion, participants are encouraged to attend, Statistics Course: Level 2 to further build their knowledge and statistical OutcomesAt the completion of this statistics course you will be able:utilise a basic set of statistical skills for making objective/scientific conclusions when presented with a set of data. Interpret tables and graphs and describe patterns and tables and charts following the exploration of a data hypotheses by applying knowledge of data distributions Collect data using surveys with appropriate sampling procedures Design experiments so that the data collected can be readily analysedapply probability theory to your decision-making make simple predictions by analysing the dependencies within a set of dataCourse ContentThis statistics course will cover the following topics:Exploring the characteristics of dataQualitative/categorical (nominal, ordinal).Quantitative/numerical (discrete, continuous).Descriptive statisticsMeasures of central tendency (mean, median, mode, percentiles).Preparing charts Box & Whisker plots, histograms, scatter data analysisData distributionsFrequency distributions (discrete, continuous).Measures of variability (variance, standard deviation).Measures of shape (skewness).Central Limit Theorem and Normal TestingAssumption of normality – z tests and t tests.No assumption of normality – chi square and SamplingRandom versus non-random and Analysis of VarianceANOVA, The F test and multiple to ProbabilitiesApplication to real-life and simple regressionUsing independent variables to predict a dependent AudienceThis statistics course assumes little or no prior knowledge but can be used to review and refresh information learnt previously. This statistics course is designed for people who need to interpret simple statistics in reports and for those who wish to employ some basic statistical analysis in the work they do. This statistics course focuses on sample data and is suitable for participants from a range of areas including Business & Finance, Commercial, Government, Health and Not-For-Profit. This statistics course is not suitable for anyone dealing with population data StyleThis statistics course will be delivered as an interactive workshop consisting of an instructor-led tuition, supported by class activities. This training approach allows participants to work through concepts introduced by the instructor in an application-focused teaching examples will be included in the delivery so that you can practice under the guidance of your instructor. This will assist with immediate application of course concepts in your work or study PrerequisitesThis statistics course has no prerequisites and is open to all members of the DatesAdditional instances of this course may be available and published on our website. See Statistics Course: Level 1 for more information, or to join the waiting list and be advised when we schedule event is comprised of multiple sessions. Registered participants are expected to attend all scheduled times.Tue 3 Dec 2019 5:30PM - 9:00PMELI-229 Lecture Room, Sydney CampusTue 10 Dec 2019 5:30PM - 9:00PMELI-229 Lecture Room, Sydney Campus