Introduction to Data Analytics
Master data analytics fundamentals: Learn data extraction, cleaning, analysis, and visualization using OSEMN framework.
Master data analytics fundamentals: Learn data extraction, cleaning, analysis, and visualization using OSEMN framework.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Meta Data Analyst Professional Certificate or Meta Marketing Analytics Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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Instructors:
English
پښتو, বাংলা, Tiếng Việt, 3 more
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What you'll learn
Apply data analysis using the OSEMN framework
Formulate business goals and define relevant KPIs
Evaluate and clean data from various sources
Create effective data visualizations and models
Interpret data insights for business decision-making
Skills you'll gain
This course includes:
4.7 Hours PreRecorded video
19 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course introduces the fundamentals of data analytics, focusing on practical understanding and application of the OSEMN framework (Obtain, Scrub, Explore, Model, iNterpret). Students learn essential skills including data extraction, cleaning, manipulation, and analysis. The curriculum covers formulating business goals, defining KPIs, working with various data formats, and creating effective data visualizations. The course includes a special module on generative AI in data analytics, teaching students how to leverage AI tools for improved analysis and insights.
Working with Data
Module 1 · 2 Hours to complete
Obtaining and Scrubbing Data
Module 2 · 3 Hours to complete
Exploring and Modeling Data
Module 3 · 3 Hours to complete
Interpreting Data
Module 4 · 3 Hours to complete
[Optional] GenAI in Data Analytics
Module 5 · 2 Hours to complete
Fee Structure
Instructor
CEO & Co-Founder Aptly, Adj. Professor, UCLA Anderson School of Management
Anke, CEO & Co-Founder of Aptly, built Udacity’s Biz School to 17K+ students, teaches at UCLA, and led teams at Yahoo! & Jump-Time.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.