@@ -11,12 +11,43 @@ This will be six weeks of curricula
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- Day 3 Lecture is [ here] ( https://www.dataexpert.io/lesson/dimensional-data-modeling-day-3-lecture-yt )
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- Day 3 Lab is [ here] ( https://www.dataexpert.io/lesson/dimensional-data-modeling-day-3-lab-yt )
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- Fact Data Modeling
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- - Homework is (to be added)
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+ - Homework is [ here] ( materials/2-fact-data-modeling/homework/homework.md )
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+ - Day 1 Lecture is [ here] ( https://www.dataexpert.io/lesson/fact-data-modeling-day-1-lecture-yt )
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+ - Day 1 Lab is [ here] ( https://www.dataexpert.io/lesson/fact-data-modeling-day-1-lab-yt )
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+ - Day 2 Lecture is [ here] ( https://www.dataexpert.io/lesson/fact-data-modeling-day-2-lecture-yt )
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+ - Day 2 Lab is [ here] ( https://www.dataexpert.io/lesson/fact-data-modeling-day-2-lab-yt )
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+ - Day 3 Lecture is [ here] ( https://www.dataexpert.io/lesson/fact-data-modeling-day-3-lecture-yt )
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+ - Day 3 Lab is [ here] ( https://www.dataexpert.io/lesson/fact-data-modeling-day-3-lab-yt )
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- Data Quality (analytics)
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- Data Quality (infrastructure)
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- Data impact and visualization (analytics)
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- Data pipeline maintenance (infrastructure)
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+ - Homework is [ here] ( materials/6-data-pipeline-maintenance/homework/homework.md )
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+ - Day 1 Lecture is [ here] ( https://www.dataexpert.io/lesson/data-pipeline-maintenance-day-1-lecture-yt )
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+ - Day 1 Lab is [ here] ( https://www.dataexpert.io/lesson/data-pipeline-maintenance-day-1-lab-yt )
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+ - Day 2 Lecture is [ here] ( https://www.dataexpert.io/lesson/data-pipeline-maintenance-day-2-lecture-yt )
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- Applying Analytical Patterns (analytics)
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+ - Homework is [ here] ( materials/4-applying-analytical-patterns/homework/homework.md )
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+ - Day 1 Lecture is [ here] ( https://www.dataexpert.io/lesson/data-quality-patterns-day-1-lecture-yt )
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+ - Day 1 Lab is [ here] ( https://www.dataexpert.io/lesson/data-quality-patterns-day-1-lab-yt )
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+ - Day 2 Lecture is [ here] ( https://www.dataexpert.io/lesson/data-quality-patterns-day-2-lecture-yt )
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- Real-time Pipelines with Flink and Kafka (infrastructure)
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+ - Flink setup is [ here] ( https://www.dataexpert.io/lesson/flink-lab-setup-yt )
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+ - Homework is [ here] ( materials/4-apache-flink-training/homework/homework.md )
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+ - Day 1 Lecture is [ here] ( https://www.dataexpert.io/lesson/streaming-pipelines-day-1-lecture-yt )
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+ - Day 1 Lab is [ here] ( https://www.dataexpert.io/lesson/streaming-pipelines-day-1-lab-yt )
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+ - Day 2 Lecture is [ here] ( https://www.dataexpert.io/lesson/streaming-pipelines-day-2-lecture-yt )
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+ - Day 2 Lab is [ here] ( https://www.dataexpert.io/lesson/streaming-pipelines-day-2-lab-yt )
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- KPIs and Experimentation (analytics)
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+ - Homework is [ here] ( materials/5-kpis-and-experimentation/homework/homework.md )
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+ - Day 1 Lecture is [ here] ( https://www.dataexpert.io/lesson/kpis-and-experimentation-day-1-lecture-yt )
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+ - Day 1 Lab is [ here] ( https://www.dataexpert.io/lesson/kpis-and-experimentation-day-1-lab-yt )
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+ - Day 2 Lecture is [ here] ( https://www.dataexpert.io/lesson/kpis-and-experimentation-day-2-lecture-yt )
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- Apache Spark fundamentals (infrastructure)
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+ - Homework is [ here] ( materials/3-spark-fundamentals/homework/homework.md )
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+ - Day 1 Lecture is [ here] ( https://www.dataexpert.io/lesson/apache-spark-day-1-lecture-yt )
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+ - Day 1 Lab is [ here] ( https://www.dataexpert.io/lesson/apache-spark-day-1-lab-yt )
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+ - Day 2 Lecture is [ here] ( https://www.dataexpert.io/lesson/apache-spark-day-2-lecture-yt )
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+ - Day 2 Lab is [ here] ( https://www.dataexpert.io/lesson/apache-spark-day-2-lab-yt )
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+ - Day 3 Lecture is [ here] ( https://www.dataexpert.io/lesson/apache-spark-day-3-lecture-yt )
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+ - Day 3 Lab is [ here] ( https://www.dataexpert.io/lesson/apache-spark-day-3-lab-yt )
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