Cracking the Data Code - Data Flows
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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
1.1 Introduction
Video - 4:26 mins
1.2 Data fosters better understanding of situation at hand
Video - 6:04 mins
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1.3 Data enables better assessment of problems in the org
Video - 3:17 mins
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1.4 Data brings about better decisions
Video - 2:50 mins
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1.5 Data enables better communication of important information in the org
Video - 4:25 mins
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1.6 Data helps make predictions of KPIs & other useful variables
Video - 5:35 mins
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1.7 Data enables the building of information & knowledge
Video - 3:17 mins
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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
2.1 Introduction
Video - 1:27 mins
2.2 Data Governance
Video - 4:58 mins
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2.3 Data Engineering
Video - 5:37 mins
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2.4 Data Analytics / Data Science
Video - 6:36 mins
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2.5 Data Visualization
Video - 2:10 mins
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2.6 AI-related work
Video - 10:12 mins
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2.7 Data-based Decision-making
Video - 2:58 mins
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2.8 Knowledge Bases
Video - 2:51 mins
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2.9 Privacy Matters
Video - 5:00 mins
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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
3.1 Introduction
Video - 1:25 mins
3.2 Business needs
Video - 2:35 mins
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3.3 Aims and Objectives
Video - 3:32 mins
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3.4 Business strategy
Video - 3:40 mins
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3.5 Measuring and managing pain points
Video - 3:47 mins
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3.6 Solutions already in place
Video - 4:37 mins
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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
4.1 Introduction
Video - 1:17 mins
4.2 Through EDA
Video - 3:04 mins
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4.3 Through Predictive Analytics
Video - 5:53 mins
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4.4 Through Competition Analysis
Video - 4:49 mins
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4.5 Through A/B testing of potential solutions
Video - 4:16 mins
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4.6 Through weighing of factors in a decision
Video - 3:25 mins
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4.7 Through A.I. for better communication of relevant info and knowledge
Video - 5:42 mins
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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
5.1 Introduction
Video - 1:24 mins
5.2 Evaluate their costs and value-adds
Video - 5:04 mins
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5.3 Prioritize accordingly
Video - 4:41 mins
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5.4 Explore synthetic data options
Video - 4:50 mins
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5.5 Explore data trading
Video - 3:07 mins
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5.6 Explore web scraping
Video - 5:15 mins
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5.7 Store data properly and apply proper privacy protocols
Video - 5:12 mins
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Evaluation Test
Exercises to help you test your knowledge and make it your own.
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