Diploma in Data Science
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course overview
The Postgraduate Diploma in Data Science is a fully rounded programme covering the key skills and knowledge needed by data scientists to develop insights and solutions across a wide range of industries and domains. It has been developed by practising data scientists with experience working with major international firms across a wide range of industries.
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How the programme works
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View all video lessons and corresponding slide sets
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Practice with the code samples from the lessons
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Complete all topics assignments. (Mandatory)
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Undertake the case study
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Study the exam practice questions before the exam
Course Schedule
The course schedule shows your upcoming:
- Live sessions
- Exam dates
Programme Modules
0101 Exploratory Data Analysis
Most industry analysis starts with exploratory data analysis and a thorough study of this will help you to perform data health checks and provide initial business insights. You will gain a sound understanding of R and Python programming, as well as the fundamentals of statistics. This includes writing R and Python commands for data management, basic statistical analysis, performing descriptive statistics and presenting data using appropriate graphs and diagrams. This unit serves as a foundation for advanced analytics.
0201 Statistical Inference
In the statistical inference unit you will gain an in-depth understanding of statistical distribution and hypothesis testing. This includes Binomial, Poisson, Normal, Log Normal, Exponential, t, F and Chi Square distributions, as well as parametric and non-parametric tests used in research problems. The unit will help you to formulate research hypotheses, select appropriate tests for them, write R and Python programs to perform hypothesis testing and draw inferences using the outputs generated.
0301 Fundamentals of Predictive Modelling
A good understanding of predictive modelling is an essential part of being an effective data scientist as many business problems are related to successfully predicting future outcomes. This fundamentals of predictive modelling unit provides a strong foundation for predictive modelling and covers the entire modelling process in the context of real life case studies. Many concepts in predictive modelling methods are commonly used in business and therefore these concepts will be discussed in detail.
DATA SCIENCE INSTITUTE
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13 Adelaide Road,Dublin,D02 P950Ireland
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Postgraduate Diploma in Data Science
ENROLLING FOR MARCH 2022
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