Introduction to Data Analytics

Introduction to Data Analytics

This course is part of multiple programs.

Instructor: Anke Audenaert

Access provided by USAA D&A Academy

112,292 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

1,063 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

1,063 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

96%

Most learners liked this course

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

Skills you'll gain

Tools you'll learn

Generative AI

Details to know

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Assessments

20 assignments¹

AI Graded see disclaimer

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 readings4 assignments

13 videos Total 49 minutes

Introduction to the Program 2 minutes
Course Introduction Video 2 minutes
Introduction to Anke Audenaert 2 minutes
Weekly Introduction: What is Data Analytics? 2 minutes
Introduction: the Power of Data 3 minutes
What Is Data Analytics? 9 minutes
What Does a Data Analyst Do? 5 minutes
A Framework as a Helpful Tool 1 minute
The OSEMN Framework 4 minutes
Start with a Goal in Mind 4 minutes
Understand the KPIs 6 minutes
Using the OSEMN Framework: Example 9 minutes
Weekly Review: Working with Data 1 minute

5 readings Total 40 minutes

Introduction to Data Analytics Course Syllabus 5 minutes
Join the Meta Marketing Analytics Community or the Meta Data Analyst Community! 10 minutes
How to be Successful in this Program 10 minutes
Data Analytics vs. Data Science 10 minutes
OSEMN Framework Overview 5 minutes

4 assignments Total 90 minutes

Graded Quiz: Working with Data 50 minutes
Review Your Community Knowledge 10 minutes
Practice Quiz: What is Data Analytics? 15 minutes
Practice Quiz: The OSEMN Framework 15 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 videos Total 66 minutes

Introduction: Obtaining and Scrubbing Data 1 minute
It's a Data World 2 minutes
Where to Look for Data 8 minutes
Common Data Formats 5 minutes
Sampled Data 8 minutes
First and Third Party Data 5 minutes
Evaluating the Validity of Data Sources 8 minutes
Scrubbing Your Data Clean 2 minutes
Remove Duplicate Records 3 minutes
Format Your Records 4 minutes
Handle Missing Values 4 minutes
Check for Wrong Values 3 minutes
A Real World Example 2 minutes
Case Study - Obtaining Data 4 minutes
Case Study - Scrubbing Data 7 minutes
Weekly Review: Obtaining and Scrubbing Data 1 minute

3 readings Total 22 minutes

An Overview of Helpful Free Datasources 10 minutes
Summary: Validity of Data 7 minutes
Summary: Scrubbing data 5 minutes

4 assignments Total 145 minutes

Graded Quiz: Obtaining and Scrubbing Data 50 minutes
Practice Quiz: Obtaining data 20 minutes
Practice Quiz: Scrubbing data 15 minutes
Activity: Obtaining and Scrubbing Data 60 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 videos Total 56 minutes

Introduction: Exploring and Modeling Data 1 minute
Getting to Know Your Data Better 2 minutes
The Language of Data 5 minutes
Creating Visualizations 5 minutes
Examine Data Distributions 5 minutes
Examine Data Relationships 6 minutes
Feature Engineering 4 minutes
Make Predictions from Your Data with Modeling 1 minute
What Are Models and Why Use Them? 4 minutes
How Do Models Work? 5 minutes
Different Types of Models 5 minutes
A Real World Example 3 minutes
Case Study - Exploring Data 4 minutes
Case Study - Modeling Data 3 minutes
Weekly Conclusion 1 minute

2 readings Total 15 minutes

Summary: Exploring Data 10 minutes
Common Model Types 5 minutes

4 assignments Total 130 minutes

Graded Quiz: Exploring and Modeling Data 50 minutes
Practice Quiz: Exploring data 20 minutes
Practice Quiz: Modeling 15 minutes
Activity: Exploring and Modeling Data 45 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 videos Total 51 minutes

Introduction: Interpreting Data 2 minutes
Answer Your Business Question with Your Data 3 minutes
Understand the Results of Your Model 6 minutes
Explain Your Findings 7 minutes
The Power of Stories 2 minutes
Explain, Enlighten, and Engage 4 minutes
Telling a Compelling Story 5 minutes
Introduction 2 minutes
Obtaining Data 4 minutes
Scrubbing data 3 minutes
Exploring Data 6 minutes
Modeling Data 3 minutes
Interpreting Data 3 minutes
Weekly Review: Interpreting Data 1 minute
Congratulations! 1 minute

1 reading Total 10 minutes

Summary Reading: iNterpreting Data & Storytelling 10 minutes

5 assignments Total 170 minutes

Graded Quiz: Interpreting Data 50 minutes
Practice Quiz: Interpreting Your Data 15 minutes
Practice Quiz: Storytelling with Data 15 minutes
Activity: iNterpreting Data 45 minutes
Comprehensive Activity: Applying OSEMN 45 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.

What's included

8 videos4 readings3 assignments1 discussion prompt

8 videos Total 64 minutes

Understanding Generative AI: An Overview 8 minutes
Exploring Different GenAI Technologies 12 minutes
Applications of Generative AI in Business 8 minutes
Navigating the Challenging: Concerns with AI 8 minutes
Integrating GenAI with Data Analytics 6 minutes
Improving Data Quality and Generation with GenAI 7 minutes
GenAI in Predictive Analytics 9 minutes
Case Studies: GenAI in Data Analytics 5 minutes

4 readings Total 40 minutes

Responsible AI - AI at Meta 10 minutes
Summary: Key Takeaways on Generative AI 10 minutes
Summary: Key Points on GenAI in Data Analytics 10 minutes
Using GenAI in Your Data Analytics Projects 10 minutes

3 assignments Total 65 minutes

Practice Quiz: Understanding Generative AI 20 minutes
Activity: Experience the Power of GenAI 30 minutes
Practice Quiz: Understanding GenAI in Data Analytics 15 minutes

1 discussion prompt Total 10 minutes

Share Your Thoughts! 10 minutes

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Instructor

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(324 ratings)

Anke Audenaert

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Reviewed on Oct 2, 2024

Best module to understand the Fundamentals of Data Analysis and much more. I love the way of teaching and doing exercises

Reviewed on Jan 5, 2024

The course is a great stepping stone for subsequent courses in Data Analytics. The OSEMN framework is promising to be applicable in both industrial and academic research. Thank you

Reviewed on May 15, 2024

The course is made easy to understand with practice exercises and Anke made it so fascinating.

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