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

4.6
stars
212 ratings
•
61 reviews

Kate Sullivan

8,267 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

100% online

Start instantly and learn at your own schedule.

Course 1 of 3 in the

Data Science with Databricks for Data Analysts Specialization

Intermediate Level

Familiarity with SQL

Approx. 14 hours to complete

English

Subtitles: English

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 AnalysisSpark SQLSQL

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.

Course 1 of 3 in the

Data Science with Databricks for Data Analysts Specialization

Intermediate Level

Familiarity with SQL

Approx. 14 hours to complete

English

Subtitles: English

Instructor

Instructor rating

4.3/5 (80 Ratings)

Kate Sullivan

Technical Curriculum Developer

8,267 Learners

1 Course

Offered by

Databricks

Databricks is the data and AI company. Founded by the creators of Apache Spark™, Delta Lake and MLflow, organizations like Comcast, Condé Nast, Nationwide and H&M rely on Databricks’ open and unified platform to enable data engineers, scientists and analysts to collaborate and innovate faster.

Syllabus - What you will learn from this course

Week

Week 1

27 minutes to complete

Welcome to Apache Spark SQL for Data Analysts

An introduction to this course including learning objectives, frequently asked questions, and a chance to get to know fellow classmates.

27 minutes to complete

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

Week

Week 2

1 hour to complete

Spark makes big data easy

1 hour to complete

6 videos (Total 21 min)

Week

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 31m

Signing up for Databricks Community Edition1m

Preparing your workspace2m

Working with notebooks3m

Using course materials6m

Basic queries with Spark SQL reading introduction1m

Data Visualization on Databricks reading introduction38s

Data visualization tools1m

Exploratory Data Analysis lab introduction25s

4 readings

Course Materials5m

Basic Queries reading activity30m

Data Visualization reading activity30m

Your turn! Exploratory Data Analysis lab30m

2 practice exercises

Module 3 Concept Review30m

3.3 Exploratory Data Analysis Quiz15m

Week

Week 4

1 hour to complete

Spark Under the Hood

1 hour to complete

7 videos (Total 32 min)

Reviews

4.6

61 reviews

5 stars
65.61%
4 stars
26.69%
3 stars
5.42%
2 stars
1.80%
1 star
0.45%

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

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 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 RWDec 22, 2020

Many of the videos (all that introduced the notebooks) were not necessary and I stopped watching them. The course introduced me to some spark sql functions that I was unaware of.

by INFeb 20, 2021

The material in the course is very good selected for learning Spark SQL. However, it might have been more neat prepared and the questions in quiz and exam could be more difficult

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, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

More questions? Visit the Learner Help Center.

Apache Spark (TM) SQL for Data Analysts