Cracking the Data Code – Data Flows

About Course

Master the Basics of Data work

This “Data Flows” module provides a condensed introduction to optimizing your data streams. In this 2.5-hour video lesson, you’ll learn how to identify key pain points, streamline your data flows, and start seeing improvements in your organization’s efficiency and productivity. This module is perfect for those who want to dip their toes into the world of data flows and their business value-adds, or need a quick refresher before diving deeper into the full course.

This course is designed as an intro to the subject and targets people involved in the creation and management of data projects. For a more in-depth view of data work, please check out its sequel course (available here on CourseVolt).

Course Content

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

04:26
1.2 Data fosters better understanding of situation at hand

06:04
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1.3 Data enables better assessment of problems in the org

03:17
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1.4 Data brings about better decisions

02:50
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1.5 Data enables better communication of important information in the org

04:25
Check what you’ve learned
1.6 Data helps make predictions of KPIs & other useful variables

05:35
Check what you’ve learned
1.7 Data enables the building of information & knowledge

03:17
Check what you’ve learned

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

01:27
2.2 Data Governance

04:58
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2.3 Data Engineering

05:37
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2.4 Data Analytics / Data Science

06:36
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2.5 Data Visualization

02:10
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2.6 AI-related work

10:12
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2.7 Data-based Decision-making

02:58
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2.8 Knowledge Bases

02:51
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2.9 Privacy Matters

05:00
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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

01:25
3.2 Business needs

02:35
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3.3 Aims and Objectives

03:32
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3.4 Business strategy

03:40
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3.5 Measuring and managing pain points

03:47
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3.6 Solutions already in place

04:37
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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

01:17
4.2 Through EDA

03:04
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4.3 Through Predictive Analytics

05:53
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4.4 Through Competition Analysis

04:49
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4.5 Through A/B testing of potential solutions

04:16
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4.6 Through weighing of factors in a decision

03:25
Check what you’ve learned
4.7 Through A.I. for better communication of relevant info and knowledge

05:42
Check what you’ve learned

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

01:24
5.2 Evaluate their costs and value-adds

05:04
Check what you’ve learned
5.3 Prioritize accordingly

04:41
Check what you’ve learned
5.4 Explore synthetic data options

04:50
Check what you’ve learned
5.5 Explore data trading

03:07
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5.6 Explore web scraping

05:15
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5.7 Store data properly and apply proper privacy protocols

05:12
Check what you’ve learned

Evaluation Test
Exercises to help you test your knowledge and make it your own.

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About Course

Master the Basics of Data work

What Will You Learn?

Course Content

1.1 Introduction

1.2 Data fosters better understanding of situation at hand

Check what you’ve learned

1.3 Data enables better assessment of problems in the org

Check what you’ve learned

1.4 Data brings about better decisions

Check what you’ve learned

1.5 Data enables better communication of important information in the org

Check what you’ve learned

1.6 Data helps make predictions of KPIs & other useful variables

Check what you’ve learned

1.7 Data enables the building of information & knowledge

Check what you’ve learned

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

2.2 Data Governance

Check what you’ve learned

2.3 Data Engineering

Check what you’ve learned

2.4 Data Analytics / Data Science

Check what you’ve learned

2.5 Data Visualization

Check what you’ve learned

2.6 AI-related work

Check what you’ve learned

2.7 Data-based Decision-making

Check what you’ve learned

2.8 Knowledge Bases

Check what you’ve learned

2.9 Privacy Matters

Check what you’ve learned

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

3.2 Business needs

Check what you’ve learned

3.3 Aims and Objectives

Check what you’ve learned

3.4 Business strategy

Check what you’ve learned

3.5 Measuring and managing pain points

Check what you’ve learned

3.6 Solutions already in place

Check what you’ve learned

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

4.2 Through EDA

Check what you’ve learned

4.3 Through Predictive Analytics

Check what you’ve learned

4.4 Through Competition Analysis

Check what you’ve learned

4.5 Through A/B testing of potential solutions

Check what you’ve learned

4.6 Through weighing of factors in a decision

Check what you’ve learned

4.7 Through A.I. for better communication of relevant info and knowledge

Check what you’ve learned

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

5.2 Evaluate their costs and value-adds

Check what you’ve learned

5.3 Prioritize accordingly

Check what you’ve learned

5.4 Explore synthetic data options

Check what you’ve learned

5.5 Explore data trading

Check what you’ve learned

5.6 Explore web scraping

Check what you’ve learned

5.7 Store data properly and apply proper privacy protocols

Check what you’ve learned

Evaluation Test Exercises to help you test your knowledge and make it your own.

Warm-up test

More in-depth questions

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Student Ratings & Reviews

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

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

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

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

Evaluation Test
Exercises to help you test your knowledge and make it your own.