Coursera

Retrieve & Prep Data

Ritesh Vajariya
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Instructors: Ritesh Vajariya

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Use data storage format knowledge to identify import issues.

  • Apply correct import settings in Excel.

  • Analyze data quality using a systematic cleaning checklist.

Details to know

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Assessments

1 assignment

Taught in English
Recently updated!

April 2026

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This course is part of the People Data Foundations: Metrics & Visualization Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 2 modules in this course

In this module, you'll use your understanding of data storage formats to select the right approach for each task. Through a discovery role play, you'll confront a 'broken' CSV that won't import correctly—and apply troubleshooting techniques to identify that the problem is usually format settings, not data. Then you'll master the two formats you'll use everywhere in people analytics: CSV files and SQL tables.

What's included

4 videos1 reading

In this module, you'll apply cleaning techniques and analyze data quality before finalizing your dataset. You'll use a systematic checklist to identify hidden columns, empty rows, and formatting issues—then document your cleaning steps for stakeholders. Through realistic scenarios, you'll practice the critical skill of verifying that 'looks clean' actually means 'is clean'.

What's included

3 videos2 readings1 assignment

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Instructors

Ritesh Vajariya
Coursera
11 Courses208 learners

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