Introduction to Data Analytics

Introduction to Data Analytics

This course is part of multiple programs.

Instructor: Anke Audenaert

What you'll learn

Apply the data analysis process OSEMN to marketing data
Compare and contrast various data formats and their applications across different scenarios
Identify data gaps and articulate the strengths and weaknesses of collected data

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Assessments

19 assignments

Taught in English

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There are 5 modules in this course

This course provides a practical understanding and framework for basic analytics tasks, including data extraction, cleaning, manipulation, and analysis. It introduces the OSEMN cycle for managing analytics projects and you'll examine real-world examples of how companies use data insights to improve decision-making.

By the end of this course you will be able to: • Formulate business goals, KPIs and associated metrics • Apply a data analysis process using the OSEMN framework • Identify and define the relevant data to be collected for marketing • Compare and contrast various data formats and their applications across different scenarios • Identify data gaps and articulate the strengths and weaknesses of collected data You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation in this program.

This week, you will learn what data analytics are and what a data analyst does. You’ll be introduced to the OSEMN framework as well as important business metrics, KPIs and their value to a business.

What's included

13 videos5 readings3 assignments

13 videosTotal 49 minutes

Introduction to the Program2 minutesPreview module
Course Introduction Video2 minutes
Introduction to Anke Audenaert2 minutes
Weekly Introduction: What is Data Analytics?1 minute
Introduction: the Power of Data2 minutes
What Is Data Analytics?8 minutes
What Does a Data Analyst Do?5 minutes
A Framework as a Helpful Tool1 minute
The OSEMN Framework4 minutes
Start with a Goal in Mind3 minutes
Understand the KPIs5 minutes
Using the OSEMN Framework: Example8 minutes
Weekly Review: Working with Data0 minutes

5 readingsTotal 40 minutes

Introduction to Data Analytics Course Syllabus5 minutes
Join the Meta Marketing Analytics Community or the Meta Data Analyst Community!10 minutes
How to be Successful in this Program10 minutes
Data Analytics vs. Data Science10 minutes
OSEMN Framework Overview5 minutes

3 assignmentsTotal 80 minutes

Graded Quiz: Working with Data50 minutes
Practice Quiz: What is Data Analytics?15 minutes
Practice Quiz: The OSEMN Framework15 minutes

In the second week you will learn how to discover different sources of data and how to evaluate their validity. You will also explore different data formats. You’ll begin to apply the OSEMN framework by learning the steps in the data cleaning process as well as how to handle missing or incorrect data in your datasets.

What's included

16 videos3 readings4 assignments

16 videosTotal 65 minutes

Introduction: Obtaining and Scrubbing Data1 minutePreview module
It's a Data World1 minute
Where to Look for Data7 minutes
Common Data Formats5 minutes
Sampled Data7 minutes
First and Third Party Data4 minutes
Evaluating the Validity of Data Sources7 minutes
Scrubbing Your Data Clean2 minutes
Remove Duplicate Records3 minutes
Format Your Records4 minutes
Handle Missing Values3 minutes
Check for Wrong Values2 minutes
A Real World Example2 minutes
Case Study - Obtaining Data3 minutes
Case Study - Scrubbing Data7 minutes
Weekly Review: Obtaining and Scrubbing Data0 minutes

3 readingsTotal 22 minutes

An Overview of Helpful Free Datasources10 minutes
Summary: Validity of Data7 minutes
Summary: Scrubbing data5 minutes

4 assignmentsTotal 145 minutes

Graded Quiz: Obtaining and Scrubbing Data50 minutes
Practice Quiz: Obtaining data20 minutes
Practice Quiz: Scrubbing data15 minutes
Activity: Obtaining and Scrubbing Data60 minutes

This week moves onto the Exploring and Modeling phases of OSEMN. You will learn how to inspect and summarize your data as well as evaluate data relationships. You will discover the purpose of data modeling and common types of data models and data visualizations.

What's included

15 videos2 readings4 assignments

15 videosTotal 55 minutes

Introduction: Exploring and Modeling Data1 minutePreview module
Getting to Know Your Data Better2 minutes
The Language of Data4 minutes
Creating Visualizations4 minutes
Examine Data Distributions5 minutes
Examine Data Relationships6 minutes
Feature Engineering3 minutes
Make Predictions from Your Data with Modeling1 minute
What Are Models and Why Use Them?4 minutes
How Do Models Work?4 minutes
Different Types of Models5 minutes
A Real World Example3 minutes
Case Study - Exploring Data4 minutes
Case Study - Modeling Data3 minutes
Weekly Conclusion0 minutes

2 readingsTotal 15 minutes

Summary: Exploring Data10 minutes
Common Model Types5 minutes

4 assignmentsTotal 130 minutes

Graded Quiz: Exploring and Modeling Data50 minutes
Practice Quiz: Exploring data20 minutes
Practice Quiz: Modeling15 minutes
Activity: Exploring and Modeling Data45 minutes

This week you will learn how to interpret the data you have working with and relate the results of your analysis back to a specific business goal. You will also learn how to create a story for a presentation of your data in order to explain and engage an audience.

What's included

15 videos1 reading5 assignments

15 videosTotal 50 minutes

Introduction: Interpreting Data1 minutePreview module
Answer Your Business Question with Your Data3 minutes
Understand the Results of Your Model5 minutes
Explain Your Findings6 minutes
The Power of Stories1 minute
Explain, Enlighten, and Engage4 minutes
Telling a Compelling Story4 minutes
Introduction1 minute
Obtaining Data3 minutes
Scrubbing data3 minutes
Exploring Data5 minutes
Modeling Data2 minutes
Interpreting Data3 minutes
Weekly Review: Interpreting Data0 minutes
Congratulations!1 minute

1 readingTotal 10 minutes

Summary Reading: iNterpreting Data & Storytelling10 minutes

5 assignmentsTotal 170 minutes

Graded Quiz: Interpreting Data50 minutes
Practice Quiz: Interpreting Your Data15 minutes
Practice Quiz: Storytelling with Data15 minutes
Activity: iNterpreting Data45 minutes
Comprehensive Activity: Applying OSEMN45 minutes

In this optional module, you learn what generative AI is and how it functions. You also discover how GenAI can be applied in different business scenarios as well as navigating the concerns around its usage. Then you explore how to incorporate GenAI into your data analytics efforts to streamline processes and improve data quality.