About this Course

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Course 6 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 11 hours to complete
English

Skills you will gain

Dimensionality ReductionUnsupervised LearningCluster AnalysisTime SeriesK Means Clustering
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 6 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 11 hours to complete
English

Offered by

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IBM

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Introduction to Time Series Analysis

2 hours to complete
10 videos (Total 83 min), 3 readings, 3 quizzes
10 videos
Introduction to Forecasting and Time Series Analysis11m
Pandas Time Series Notebook - Part 17m
Pandas Time Series Notebook - Part 210m
Pandas Time Series Notebook - Part 313m
Pandas Time Series Notebook - Part 49m
Time Series Decomposition4m
Decomposition Models9m
Decomposition Notebook - Part 17m
Decomposition Notebook - Part 27m
3 readings
Time Series Demo (Activity)10m
Time Series Decomposition Demo (Activity)10m
Summary/Review10m
3 practice exercises
Check for Understanding5m
Check for Understanding5m
End of Module Quiz10m
Week
2

Week 2

3 hours to complete

Stationarity and Time Series Smoothing

3 hours to complete
13 videos (Total 110 min), 3 readings, 3 quizzes
13 videos
Stationarity Notebook - Part 17m
Stationarity Notebook - Part 27m
Stationarity Notebook - Part 314m
Nonstationarity Examples4m
Identifying Nonstationarity7m
Common Transformations6m
Time Series Smoothing6m
Smoothing Moving Averages5m
Smoothing Exponential Intro5m
Advanced Smoothing12m
Smoothing Notebook - Part 112m
Smoothing Notebook - Part 215m
3 readings
Stationarity  Demo (Activity)10m
Time Series Smoothing Demo (Activity)10m
Summary/Review10m
3 practice exercises
Check for Understanding5m
Check for Understanding5m
End of Module Quiz10m
Week
3

Week 3

3 hours to complete

ARMA and ARIMA Models

3 hours to complete
9 videos (Total 117 min), 3 readings, 3 quizzes
9 videos
Useful Plots9m
ARMA Models Notebook - Part 110m
ARMA Models Notebook - Part 210m
ARIMA and SARIMA Models12m
SARIMA Prophet Notebook - Part 112m
SARIMA Prophet Notebook - Part 215m
SARIMA Prophet Notebook - Part 314m
SARIMA Prophet Notebook - Part 425m
3 readings
ARMA Models  Demo (Activity)10m
SARIMA Prophet Demo (Activity)10m
Summary/Review10m
3 practice exercises
Check for Understanding5m
Check for Understanding5m
End of Module Quiz10m
Week
4

Week 4

3 hours to complete

Deep Learning and Survival Analysis Forecasts

3 hours to complete
8 videos (Total 70 min), 3 readings, 4 quizzes
8 videos
Deep Learning - Part 26m
Deep Learning - Part 34m
Deep Learning Notebook - Part 114m
Deep Learning Notebook - Part 211m
Survival Analysis and Censoring - Part 110m
Survival Analysis and Censoring - Part 28m
Survival Analysis Notebook8m
3 readings
Deep Learning for Forecasting Demo (Activity)10m
Survival Analysis Demo (Activity)10m
Summary/Review10m
3 practice exercises
Check for Understanding5m
Check for Understanding5m
End of Module Quiz10m

About the IBM Machine Learning Professional Certificate

IBM Machine Learning

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