This course is designed for business professionals that want to learn how to analyze data to gain insight, use statistical analysis methods to explore the underlying distribution of data, use visualizations such as histograms, scatter plots, and maps to analyze data and preprocess data to produce a dataset ready for training.
Analyze Data
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Analyze Data
This course is part of CertNexus Certified Data Science Practitioner Professional Certificate
Instructors: Sarah Haq
1,680 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(17 reviews)
Intermediate level
Recommended experience
20 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
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Build your Data Analysis expertise
This course is part of the CertNexus Certified Data Science Practitioner Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
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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 5 modules in this course
In the previous course in this specialization, you conducted extract, transform, and load (ETL) to ensure your data was ready for the next phase of the data science process: analysis. In some cases, an analysis of the data may be the actual final goal of the project, or it may be an important intermediary step on the road to machine learning. In either case, analyzing your data using various techniques will help you obtain useful insights into that data and what it represents. It'll also give you a better understanding of how the data needs to undergo more processing to prepare it for machine learning. You'll begin your analysis efforts by exploring the nature of your dataset and the relationships it contains.
What's included
10 videos3 readings1 assignment1 discussion prompt1 ungraded lab
One of the key factors in data analysis is determining how values are spread out within each of the different features. This will give you a deeper understanding of how the data is represented and how it might need to change.
What's included
9 videos2 readings1 assignment1 discussion prompt1 ungraded lab
In this module, you'll look at your data from a visual perspective in order to reveal insights that raw numbers alone may not provide.
What's included
8 videos7 readings1 assignment1 peer review1 discussion prompt5 ungraded labs
Your analysis efforts will most likely prompt you to transform your data further, especially in preparation for machine learning. In this topic, you'll do just that.
What's included
9 videos11 readings1 assignment1 peer review1 discussion prompt6 ungraded labs
You'll work on a project in which you'll apply your knowledge of the material in this course to a practical scenario.
What's included
1 peer review1 ungraded lab
Instructors
Instructor ratings
4.8 (8 ratings)Offered by
Recommended if you're interested in Data Analysis
University of Colorado Boulder
University of Colorado Boulder
ESSEC Business School
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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