This course provides a practical understanding and framework for basic analytics tasks, including data extraction, cleaning, manipulation, and analysis. It introduces the OSEMN cycle for managing analytics projects and you'll examine real-world examples of how companies use data insights to improve decision-making.
Introduction to Data Analytics
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Introduction to Data Analytics
This course is part of multiple programs.
Instructor: Anke Audenaert
114,725 already enrolled
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Gain insight into a topic and learn the fundamentals.
1,070 reviews
Beginner level
Recommended experience
Flexible schedule
2 weeks at 10 hours a week
Learn at your own pace
96%
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
Skills you'll gain
- Category: Data Modeling
- Category: Marketing
- Category: Exploratory Data Analysis
- Category: Data Validation
- Category: Data Collection
- Category: Analytics
- Category: Data Analysis
- Category: Data Storytelling
- Category: Key Performance Indicators (KPIs)
- Category: Data Visualization
- Category: Data Presentation
- Category: Data Management
- Category: Data Manipulation
- Category: Business Metrics
- Category: Business Analysis
- Category: Data Cleansing
- Category: Data Quality
Tools you'll learn
- Category: Generative AI
Details to know
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Taught in English
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There are 5 modules in this course
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Instructor
Instructor ratings
(328 ratings)Anke Audenaert
Meta
43 Courses1,054,650 learners
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Meta
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Showing 3 of 1070
SG
Reviewed on Oct 2, 2024
Best module to understand the Fundamentals of Data Analysis and much more. I love the way of teaching and doing exercises
SA
Reviewed on Jan 5, 2024
The course is a great stepping stone for subsequent courses in Data Analytics. The OSEMN framework is promising to be applicable in both industrial and academic research. Thank you
UU
Reviewed on May 15, 2024
The course is made easy to understand with practice exercises and Anke made it so fascinating.
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