Data Analytics

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Title Data Analytics (L1) Data Analytics (L2) Data Analytics (3)
Level Basic Intermediate Intermediate - Advanced
Overview This course introduces basic concepts around the importance of data and analytics The course focuses on understanding how to test for statistical significance in addition to key concepts around Big Data. The course focuses on developing clear governance and ethics around the use of Data within organisations.
Pre-requisites None required Basic concepts of data science such as the ETL process and statistics. Awareness of key concepts such as big data and its architecture.
Outline
1 An overview of data analytics 1 Statistical Analysis 1 Data Governance
1.1 Data analytics in Business 1.1 Exploring Statistical significance 1.1 Consider ethical issues around AI
1.2 Categories of data 1.2 Evaluating results and investigation methods 1.2 Consider ethical issues around AI
1.3 Comparing Data Science process models 1.3 The role of data governance
1.4 Introduction to Tableau
1.5 Creating visualisations using Tableau/Power Bi 2 Big Data 2 Machine Learning (ML)
2.2 Key elements of big data 2.1 Applying a standard data pipeline for ML
2 The ETL process and visualisation 2.3 The architecture for big data 2.2 Key algorithms and models for ML
2.1 Introduction to data preparation 2.3 Evaluation of big data architecture 2.3 Identifying effective metrics for ML
2.2 Strategies used for visualisations
2.3 Application using Tableau/Power Bi 3 Implementation 3 Implementation
3.1 Application using Tableau/Power Bi 3.1 Application using Tableau/Power Bi
3.2 Recent trends
3 Introduction to Statistics
3.1 Understanding descriptive statistics
3.2 Hypothesis development
3.3 Introduction to Statistical significance
2.3 Application using Tableau/Power Bi
Leads to career as: Junior positions within: Data Scientist Senior Data Analyst
Data Scientist Data Analyst Senior Business Analyst
Data Analyst Business Analyst Senior Research Analyst
Business Analyst Research Analyst Lead Data Scientist
Research Analyst Data Engineer Data Science Manager
Data Engineer Senior Data Engineer