Build on your existing knowledge with intermediate retail analytics techniques and real-world applications.
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Descriptive and inferential statistics
Comfortable with data manipulation in Python/R
All Machine Learning algorithms explained in 17 min
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IntermediateLearn Machine Learning Like a GENIUS and Not Waste Time
IntermediateHow To Learn Math for Machine Learning FAST (Even With Zero Math Background)
IntermediateBut what is a neural network? | Deep learning chapter 1
IntermediateThe Essential Main Ideas of Neural Networks
IntermediateGenerative AI in a Nutshell - how to survive and thrive in the age of AI
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
All Machine Learning algorithms explained in 17 min
Learn Machine Learning Like a GENIUS and Not Waste Time
How To Learn Math for Machine Learning FAST (Even With Zero Math Background)
But what is a neural network? | Deep learning chapter 1
The Essential Main Ideas of Neural Networks
Generative AI in a Nutshell - how to survive and thrive in the age of AI
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Build on your existing knowledge with intermediate retail analytics techniques and real-world applications.
You'll work through Deepen your understanding with advanced concepts; Build more complex real-world projects; Learn optimization and best practices; Perform exploratory data analysis (EDA) on complex datasets; Clean and preprocess data for analysis; Create compelling data visualizations.
About 2 hours of study across 6 courses — and you can go at your own pace.
It's pitched at intermediate level, so a little prior familiarity helps.
6 curated courses, sequenced from foundational to advanced.
The courses in this path can be started for free.
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