This course is part of the Data Science with Databricks for Data Analysts Specialization

4.6
stars
426 ratings

Kate Sullivan

18,477 already enrolled

Offered By

Data Science with Databricks for Data Analysts SpecializationDatabricks

About this Course

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Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Course 1 of 3 in the

Data Science with Databricks for Data Analysts Specialization

Intermediate Level

Familiarity with SQL

Approx. 13 hours to complete

English

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What you will learn

Ingest, transform, and query data to extract valuable insights.
Leverage existing SQL skills to start working with Apache Spark.

Skills you will gain

Data Analysis
Spark SQL
SQL

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 3 in the

Data Science with Databricks for Data Analysts Specialization

Intermediate Level

Familiarity with SQL

Approx. 13 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.26/5 (153 Ratings)

Kate Sullivan

Technical Curriculum Developer

18,477 Learners

1 Course

Offered by

Databricks

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Syllabus - What you will learn from this course

Content Rating90%(1,062 ratings)

Week1

Week 1

27 minutes to complete

Welcome to Apache Spark SQL for Data Analysts

27 minutes to complete

1 video (Total 2 min), 1 reading, 1 quiz

Week2

Week 2

1 hour to complete

Spark makes big data easy

1 hour to complete

6 videos (Total 21 min)

Week3

Week 3

3 hours to complete

Using Spark SQL on Databricks

3 hours to complete

9 videos (Total 19 min), 4 readings, 2 quizzes

9 videos

Introduction to Module 31mSigning up for Databricks Community Edition1mPreparing your workspace2mWorking with notebooks3mUsing course materials6mBasic queries with Spark SQL reading introduction1mData Visualization on Databricks reading introduction38sData visualization tools1mExploratory Data Analysis lab introduction25s

4 readings

Course Materials5mBasic Queries reading activity30mData Visualization reading activity30mYour turn! Exploratory Data Analysis lab30m

2 practice exercises

Module 3 Concept Review30m3.3 Exploratory Data Analysis Quiz15m

Week4

Week 4

1 hour to complete

Spark Under the Hood

1 hour to complete

7 videos (Total 32 min)

Reviews

4.6

117 reviews

5 stars
67.44%
4 stars
24.35%
3 stars
5.38%
2 stars
1.63%
1 star
1.17%

TOP REVIEWS FROM APACHE SPARK (TM) SQL FOR DATA ANALYSTS

by FIJul 30, 2021

This course is amazing. The hands on labs was outstanding. But, the audio quality was poor. Needs to improve the audio quality. Overall a great experience learning Apache Spark.

by SKJan 12, 2021

Course is good but lot of cleanup and errors need to be fixed. Final exam it self has incorrect questions. Also someone should be answering the questions raised by students in the forum.

by AVMay 25, 2021

Content was amazing. Labs were really good. Videos from the lady talking the dense part need to improve. Audio from the lady had a messy stereo, also her pronunciation is not clear. Very bad quality

by MSJan 4, 2023

Very good and useful course on the usage and power of Spark SQL, but only the final exam disappointed me in the sense it was pure SQL syntax oriented.

View all reviews

About the Data Science with Databricks for Data Analysts Specialization

This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Apache Spark (TM) SQL for Data Analysts

About this Course

What you will learn

Skills you will gain