What you'll learn:

    1. Lesson 2.1 - Defining the Problem Statement

    2. Lesson 2.2 - Creating a Roadmap

    3. Module 2 - QUIZ

    1. Lesson 3.1 - Types of Data: Qualitative vs Quantitative

    2. Lesson 3.2 - Types of Data: 7 Common Categories

    3. Lesson 3.3 - Data Privacy

    4. QUIZ - Data Privacy and Security

    5. Lesson 3.4 - Getting your Data

    6. MODULE 3 QUIZ

    1. Lesson 4.1 - Setting Data Up For Success

    2. Lesson 4.2 - Data Quality - Data Cleaning Overview

    3. QUIZ - Data Quality - Data Cleaning

    4. Lesson 4.3 - Data Quality - Data Cleaning Hands On

    5. Lesson 4.4 - Data Merging - Introduction

    6. Lesson 4.4.1 - Data Merging - Hands On MS Excel

    7. Lesson 4.4.2 - Data Merging - Hands On SQL

    8. Lesson 4.4.3 - Data Merging - Hands On MS Access

    9. Lesson 4.4 - Data Merging - Conclusion

    10. Lesson 4.5 - Data Segmentation and Aggregation

    11. Lesson 4.6 - Putting it all together

    12. MODULE 4 QUIZ

    1. Lesson 5.1 - Analysis Introduction

    2. Lesson 5.2 - Picking an Analysis Tool

    3. Lesson 5.3 - Analysis Tool Categories

    4. QUIZ - Analysis Tool Categories

    5. Lesson 5.4 - Types of Data Analysis

    6. Lesson 5.5 - Introduction to Exploratory Analysis

    7. Lesson 5.5.1 - Exploratory Analysis - Sales Data Example in MS Excel

    8. Lesson 5.5.2 - Exploratory Analysis - Sales Data Example in Tableau

    9. Lesson 5.5.3 - Exploratory Analysis - Overtime Data Example in MS Excel

    10. Lesson 5.5.4 - Exploratory Analysis - Overtime Data Example in Tableau

    11. Lesson 5.5.5 - Exploratory Analysis with Google Analytics 4

    12. Lesson 5.5.6 - Exploratory Analysis - Summary

    13. Lesson 5.6 - Explanatory Analysis - Introduction

    14. Lesson 5.7 - Explanatory Analysis - Approach

    15. Lesson 5.8 - Predictive Analysis - Introduction

    16. Lesson 5.9 - Predictive Analysis - Experimentation

    17. Lesson 5.10 - Predictive Analysis - Regression

    18. Lesson 5.11 - Predictive Analysis - Final Points

    19. Lesson 5.12 - Prescriptive Analysis

    20. MODULE 5 - QUIZ

    1. Lesson 6.1 - Introduction to Data Storytelling

    2. Lesson 6.2 - What is a Data Story?

    3. Lesson 6.3 - Elements and Why a Data Story is Important

    4. Lesson 6.4 - Who to Consider When Building a Data Story

    5. Lesson 6.5 - How to Build a Data Story

    6. QUIZ - Data Storytelling Concepts

    7. Lesson 6.6 - Data Visualization Theory

    8. Lesson 6.7 - Data Visualization Graphs

    9. QUIZ - Data visualization

    10. Lesson 6.8 - Data Storytelling So Now What?

More info:

  • $149.00
  • 55 lessons
  • 6.5 hours of video content

Your Instructor

Nicole Luke

Founder, Signifiq

I'm passionate about the transformative power of data and on a mission to make it more than just a buzzword but everyone's favorite sidekick! With over 25 years of experience in large tech companies and scrappy startups, I have used strategic analytics to uncover insights and navigate performance metrics. I craft narratives and data visualizations that turn numbers into stories to support data-informed decision-making.

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