Level |
Basic |
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Intermediate |
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Intermediate - Advanced |
Overview |
This course introduces basic concepts around
the importance of data and analytics |
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The course focuses on understanding
how to test for statistical significance
in addition to key concepts around
Big Data.
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The course focuses on
developing clear governance
and ethics around the use of
Data within organisations.
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Pre-requisites |
None required |
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Basic concepts of data science such
as the ETL process and statistics.
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Awareness of key concepts
such as big data and its
architecture. |
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Outline |
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1 An overview of data analytics |
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1 Statistical Analysis |
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1 Data Governance |
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1.1 Data analytics in Business |
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1.1 Exploring Statistical significance
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1.1 Consider ethical issues
around AI
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1.2 Categories of data |
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1.2 Evaluating results and
investigation methods
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1.2 Consider ethical issues
around AI
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1.3 Comparing Data Science process models
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1.3 The role of data
governance |
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1.4 Introduction to Tableau
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1.5 Creating visualisations using
Tableau/Power Bi |
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2 Big Data |
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2 Machine Learning (ML) |
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2.2 Key elements of big data |
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2.1 Applying a standard data
pipeline for ML |
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2 The ETL process and visualisation |
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2.3 The architecture for big data |
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2.2 Key algorithms and models
for ML
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2.1 Introduction to data preparation |
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2.3 Evaluation of big data architecture
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2.3 Identifying effective metrics
for ML
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2.2 Strategies used for visualisations
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2.3 Application using Tableau/Power Bi |
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3 Implementation |
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3 Implementation |
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3.1 Application using Tableau/Power
Bi
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3.1 Application using
Tableau/Power Bi
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3.2 Recent trends |
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3 Introduction to Statistics
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3.1 Understanding descriptive statistics |
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3.2 Hypothesis development
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3.3 Introduction to Statistical significance |
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2.3 Application using Tableau/Power Bi
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Leads to career
as: |
Junior positions within: |
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Data Scientist |
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Senior Data Analyst |
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Data Scientist |
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Data Analyst |
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Senior Business Analyst
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Data Analyst |
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Business Analyst |
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Senior Research Analyst
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Business Analyst |
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Research Analyst |
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Lead Data Scientist
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Research Analyst |
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Data Engineer |
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Data Science Manager |
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Data Engineer |
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Senior Data Engineer
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