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Introduction to Data Analytics
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Introduction to Data Analytics

This course is part of multiple programs. Learn more.

Course Cost

Free course

Beginner

Skill Level

13 Hours

Self-paced lessons

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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56,372 Enrolled

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4.8

56,372 Enrolled

English

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

Data Analysis
OSEMN Framework
Data Visualization
Statistical Analysis
Data Cleaning
Business Metrics
KPI Analysis
Data Modeling
Marketing Analytics
Data Interpretation

This course includes:

4.7 Hours PreRecorded video

19 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Meta Data Analyst Professional Certificate, Meta Marketing Analytics Professional Certificate

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Introduction to Data Analytics

Beginner

Skill Level

13 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.