GCP Data Platform Hands-On → GCP Data Platform Hands-On 교육 설문 – BespinAcademy

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사전준비 1
- Lecture1.1
  
  GCP 무료 계정 생성 10 min
Contents 45
- Lecture2.1
  
  Explore a BigQuery Public Dataset 30 min
- Quiz2.1
  
  Check 01 1 question
- Lecture2.2
  
  Recommend Products using ML with Cloud SQL and Dataproc 01 hour
- Quiz2.2
  
  Check 02 1 question
- Lecture2.3
  
  Predict Visitor Purchases with a Classification Model with BigQuery ML 01 hour
- Quiz2.3
  
  Check 03 1 question
- Lecture2.4
  
  Create a Streaming Data Pipeline for a Real-Time Dashboard with Cloud Dataflow 01 hour
- Quiz2.4
  
  Check 04 1 question
- Lecture2.5
  
  Classify Images with Pre-built ML Models using Cloud Vision API and AutoML 01 hour
- Quiz2.5
  
  Check 05 1 question
- Lecture2.6
  
  Create a Dataproc Cluster 30 min
- Quiz2.6
  
  Check 06 1 question
- Lecture2.7
  
  Work with structured and semi-structured data 01 hour
- Quiz2.7
  
  Check 07 1 question
- Lecture2.8
  
  Submit Dataproc jobs for unstructured data 01 hour
- Quiz2.8
  
  Check 08 1 question
- Lecture2.9
  
  Leveraging Unstructured Data 01 hour
- Quiz2.9
  
  Check 09 1 question
- Lecture2.10
  
  Cluster automation using CLI 01 hour
- Quiz2.10
  
  Check 10 1 question
- Lecture2.11
  
  Add Machine Learning 01 hour
- Quiz2.11
  
  Check 11 1 question
- Lecture2.12
  
  Building a BigQuery Query 01 hour
- Quiz2.12
  
  Check 12 1 question
- Lecture2.13
  
  Loading and Exporting Data 01 hour
- Quiz2.13
  
  Check 13 1 question
- Lecture2.14
  
  Advanced SQL Queries 01 hour
- Quiz2.14
  
  Check 14 1 question
- Lecture2.15
  
  A Simple Dataflow Pipeline (Python) 01 hour
- Quiz2.15
  
  Check 15 1 question
- Lecture2.16
  
  MapReduce in (Python) 01 hour
- Quiz2.16
  
  Check 16 1 question
- Lecture2.17
  
  Side Inputs (Python) 01 hour
- Quiz2.17
  
  Check 17 1 question
- Lecture2.18
  
  Explore dataset, create ML datasets, create benchmark 01 hour
- Lecture2.19
  
  Getting Started with TensorFlow 01 hour
- Lecture2.20
  
  Machine Learning using tf.estimator 01 hour
- Lecture2.21
  
  Refactoring to add batching and feature-creation 01 hour
- Lecture2.22
  
  Distributed training and monitoring 01 hour
- Lecture2.23
  
  Scaling up ML using Cloud ML Engine 01 hour
- Lecture2.24
  
  Feature Engineering 01 hour
- Lecture2.25
  
  Publish streaming data into Pub/Sub 01 hour
- Lecture2.26
  
  Streaming Data Pipelines 01 hour
- Lecture2.27
  
  Streaming Analytics and Dashboards 01 hour
- Lecture2.28
  
  Streaming data into Bigtable 01 hour
Survey 1
- Lecture3.1
  
  GCP Data Platform Hands-On 교육 설문 05 min