In data analytics, understanding the situation at hand involves three key aspects: summarization of insights, visualization of findings, and presentation of results. In this video we explore this aspect of data work. In this lesson, we explore this matter in some detail.
1. Why Is Data Important?
1.1 Introduction
1.2 Data fosters better understanding of situation at hand
1.3 Data enables better assessment of problems in the org
1.4 Data brings about better decisions
1.5 Data enables better communication of important information in the org
1.6 Data helps make predictions of KPIs & other useful variables
1.7 Data enables the building of information & knowledge
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2. What is data work?
2.1 Introduction
2.2 Data Governance
2.3 Data Engineering
2.4 Data Analytics / Data Science
2.5 Data Visualization
2.6 A.I. related Work
2.7 Data-based Decision-making
2.8 Knowledge Bases
2.9 Privacy Matters
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3. What Are Your Key Pain Points?
3.1 Introduction
3.2 Business needs
3.3 Aims & Objectives
3.4 Business strategy
3.5 Measuring and managing pain points
3.6 Solutions already in place
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4. How and When Can Data Help?
4.1 Introduction
4.2 Through EDA
4.3 Through Predictive Analytics
4.4 Through Competition Analysis
4.5 Through A/B testing of potential solutions
4.6 Through weighing of factors in a decision
4.7 Through A.I. for better communication of relevant info and knowledge
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5. How Can You Optimize Your Data Flows?
5.1 Introduction
5.2 Evaluate their costs and value-adds
5.3 Prioritize accordingly
5.4 Explore synthetic data options
5.5 Explore data trading
5.6 Explore web scraping
5.7 Store data properly & apply proper privacy protocols
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Evaluation Test
Exercises to help you test your knowledge and make it your own.
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