Meta

Introduction to Data Analytics

This course is part of multiple programs.

Anke Audenaert

Instructor: Anke Audenaert

64,112 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.8

(611 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 16 hours
Learn at your own pace
95%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(611 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 16 hours
Learn at your own pace
95%
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

Details to know

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Assessments

19 assignments

Taught in English

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There are 5 modules in this course

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

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

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

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

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

Instructor

Instructor ratings
4.8 (193 ratings)
Anke Audenaert
Meta
39 Courses757,582 learners

Offered by

Meta

Recommended if you're interested in Marketing

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4.8

611 reviews

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