About this Course

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Shareable Certificate

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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 13 hours to complete

English

Subtitles: English

What you will learn

  • U​se the collaborative Databricks workspace and write SQL code that executes against a cluster of machines

  • Use Spark UI to analyze performance and identify bottlenecks

  • Create an end-to-end pipeline that reads data, transforms it, and saves the result

  • B​uild a linear regression model and make predictions using SparkSQL

Skills you will gain

Data ScienceApache SparkSQL

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 13 hours to complete

English

Subtitles: English

Offered by

University of California, Davis logo

University of California, Davis

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Introduction to Spark

3 hours to complete
6 videos (Total 32 min), 3 readings, 2 quizzes
6 videos
Why Distributed Computing?7m
Spark DataFrames6m
The Databricks Environment8m
SQL in Notebooks3m
Import Data2m
3 readings
A Note From UC Davis10m
Readings and Resources40m
Assignment #1 - Queries in Spark SQL30m
2 practice exercises
Assignment #1 Quiz - Queries in Spark SQL30m
Module 1 Quiz30m
Week
2

Week 2

2 hours to complete

Spark Core Concepts

2 hours to complete
6 videos (Total 25 min), 2 readings, 2 quizzes
6 videos
Spark Terminology3m
Caching5m
Shuffle Partitions7m
Spark UI3m
Broadcast Joins3m
2 readings
Readings30m
Assignment #2 - Spark Internals30m
2 practice exercises
Assignment #2 Quiz - Spark Internals30m
Module 2 Quiz30m
Week
3

Week 3

3 hours to complete

Engineering Data Pipelines

3 hours to complete
7 videos (Total 43 min), 2 readings, 2 quizzes
7 videos
Spark as a Connector6m
Accessing Data10m
File Formats8m
Schemas and Types4m
Writing Data6m
Managed and Unmanaged Tables4m
2 readings
Readings1h
Assignment #3 - Engineering Data Pipelines30m
2 practice exercises
Assignment #3 Quiz - Engineering Data Pipelines30m
Module 3 Quiz30m
Week
4

Week 4

5 hours to complete

Machine Learning Applications of Spark

5 hours to complete
7 videos (Total 35 min), 2 readings, 3 quizzes
7 videos
Applications of Machine Learning4m
Machine Learning Fundamentals6m
Linear Regression6m
Training Linear Regression Model8m
Applying Machine Learning with UDFs4m
Course Summary3m
2 readings
Readings1h
Assignment #4 - Logistic Regression Classifier10m
2 practice exercises
Assignment #4 Quiz - Logistic Regression Classifier30m
Module 4 Quiz30m

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About the Learn SQL Basics for Data Science Specialization

This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets....
Learn SQL Basics for Data Science

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.