About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Advanced Level

Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses

Approx. 15 hours to complete
English

What you will learn

  • Prepare data, detect statistical data biases, and perform feature engineering at scale to train models with pre-built algorithms.

Skills you will gain

Statistical Data Bias DetectionMulti-class Classification with FastText and BlazingTextData ingestionExploratory Data AnalysisAutomated Machine Learning (AutoML)
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Advanced Level

Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses

Approx. 15 hours to complete
English

Offered by

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DeepLearning.AI

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Amazon Web Services

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Week 1: Explore the Use Case and Analyze the Dataset

4 hours to complete
7 videos (Total 42 min), 1 reading, 3 quizzes
Week
2

Week 2

3 hours to complete

Week 2: Data Bias and Feature Importance

3 hours to complete
9 videos (Total 34 min), 1 reading, 2 quizzes
Week
3

Week 3

4 hours to complete

Week 3: Use Automated Machine Learning to train a Text Classifier

4 hours to complete
9 videos (Total 60 min), 1 reading, 2 quizzes
Week
4

Week 4

4 hours to complete

Week 4: Built-in algorithms

4 hours to complete
7 videos (Total 36 min), 3 readings, 2 quizzes

Reviews

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About the Practical Data Science Specialization

Practical Data Science

Frequently Asked Questions

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