Data Science on Google Cloud Platform: Exploratory Data Analytics

Offered By: LinkedIn Learning

Tags

Data Science Courses Data Visualization Courses BigQuery Courses pandas Courses Exploratory Data Analysis Courses Cloud Storage Courses

Course Description

Overview

Learn how to conduct exploratory data analytics on Google Cloud Platform.

Syllabus

Introduction

Why EDA on Datalab?
Data science modules covered

1. Exploration Options in GCP

BigQuery
Datalab
Data Studio
Cloud Dataflow

2. Cloud Datalab Basics

What is Datalab?
Setting up the Cloud SDK
Setting up Datalab
Managing Datalab
Using the exercise files
Other capabilities

3. Datalab: BigQuery

Setting up BigQuery
BigQuery commands
Reading data from BigQuery
Working with DataFrames
Writing data to BigQuery

4. Datalab: Cloud Storage

Listing bucket contents
Managing buckets
Reading objects from a bucket
Writing to buckets

5. Datalab: Visualizations

Introduction to the charting API
Line charts with BigQuery data
Pie charts with BigQuery data
Time series analysis with Cloud Storage

6. EDA with GCP: Use Case

Loading data into a DataFrame
Cleansing and transforming data
Statistics and correlations
Segmentation and profiling
Writing results to Cloud Storage

7. Managing Datalab

Datalab instance management
Adding new packages
Managing source code
Datalab best practices

Conclusion

Next steps

Taught by

Kumaran Ponnambalam

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