Apache Spark (TM) SQL for Data Analysts by Databricks via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

Apache Spark (TM) SQL for Data Analysts is a 13 hours completion time online programme. The courses are developed for intermediate-level candidates who have familiarity with SQL. Apache Spark (TM) SQL for Data Analysts Certification Course is curated by Kate Sullivan, the technical curriculum developer. The online programme is one of the courses of the Data Science with Databricks for Data Analysts Specialization that is offered by Databricks, the data and AI firm.

Apache Spark (TM) SQL for Data Analysts Training, administered by Coursera, will walk you through the data analysis, SQL and Apache Spark which is one of the most sought-after tools in big data analytics. Apache Spark (TM) SQL for Data Analysts Certification by Coursera will also provide the learners with practical exposure to Apache Spark through various practical exercises.

Course and certificate fees

certificate availability

Yes

certificate providing authority

Coursera

Who it is for

Big data developer Big data engineer

Apache Spark (TM) SQL for Data Analysts Classes is an ideal certification programme for the professionals like Big Data developers, Big Data engineers, and Big Data Analytics engineers.

Eligibility criteria

Certification Qualifying Details

After the completion of the Apache Spark (TM) SQL for Data Analysts online course, Coursera will award certificates only to the learners who have covered the course completely and paid the fee specified by Coursera.

What you will learn

Knowledge of apache spark

At the end of the course, the students will have the capacity to make use of Spark SQL and Delta Lake to ingest, query, and transform data for valuable insights extraction. Some other learnings the learners can earn from the Apache Spark (TM) SQL for Data Analysts Certification Syllabus:

Data Analysis
Spark SQL
SQL
Delta Lake

The syllabus

Week 1: Welcome to Apache Spark SQL for Data Analysts

Video

Course goals

Reading

Before you begin

Practice Exercise

End of module knowledge check

Week 2: Spark makes big data easy

Videos

Introduction to module 2
What is big data?
Common struggles with big data
Big Data Needs
Apache Spark Intro
Spark SQL

Practice Exercise

Module 2 Concept Review

Week 3: Using Spark SQL on Databricks

Videos

Introduction to Module 3
Signing up for Databricks Community Edition
Preparing your workspace
Working with notebooks
Using course materials
Basic queries with Spark SQL reading introduction
Data Visualization on Databricks reading introduction
Data visualization tools
Exploratory Data Analysis lab introduction

Readings

Course Materials
Basic Queries reading activity
Data Visualization reading activity
Your turn! Exploratory Data Analysis lab

Practice Exercises

Module 3 Concept Review
3.3 Exploratory Data Analysis Quiz

Week 4: Spark Under the Hood

Videos

Introduction to module 4
Understanding optimizations
The physical cluster
The SparkUI and SQL tab
Optimizing query logic
Impact of Caching
Optimizing with selective data loading

Practice Exercise

Module 4 Concept Review

Week 5: Complex Queries

Videos

Introduction to module 5
What is nested data?
Introduction to managing nested data
Introduction to Manipulating Data
Introduction to Data Munging

Readings

Managing Nested Data reading activity
Manipulating Data reading activity
5.3 Data Munging Lab

Practice Exercises

Module 5 Concept Review
Lab 5.3 Quiz

Week 6: Applied Spark SQL

Videos

Introduction to module 6
Complex data - common strategies
About higher-order functions
Higher-order functions introduction
Introducing Aggregating and Summarizing Data
Partitioning Tables Introduction
Sharing Insights Lab Introduction

Readings

Higher Order Functions reading activity
Aggregating and Summarizing Data reading activity
Partitioning Tables
Sharing Insights

Practice Exercises

Module 6 concept review
Lab 6.4 Quiz

Week 7: Data Storage and Optimization

Videos

Introduction to module 7
A quick refresher
Introducing a new data management paradigm
Introduction to the lesson
What is Delta Lake

Readings

Data Warehouses
Data Lakes
Data Lakes vs Data Warehouses
The Lakehouse

Week 8: Delta Lake with Spark SQL

Videos

Introduction to the module
Intro to Using Delta reading
Managing Records in a Delta table
Delta Engine Optimization Introduction
Delta Lake Lab Introduction

Readings

8.1 Using Delta
8.2 Managing records
8.3 Optimizing Delta
Delta Lab

Practice Exercise

8.4 Delta Lab

Week 9: SQL Coding Challenges

Reading

SQL coding challenges

Practice Exercise

Final Exam

Admission details

Step 1 -Browse the official URL : https://www.coursera.org/learn/apache-spark-sql-for-data-analysts

Step 2- Join the online course by choosing the option ‘Enroll Now’.

Scholarship Details

The Apache Spark (TM) SQL for Data Analysts Certification learners who cannot afford the Coursera course fee can apply for financial aid. The scholarship will be rendered to the learners purely based on their financial background.

How it helps

The Apache Spark (TM) SQL for Data Analysts Certification benefits includes that the learner can have a thorough understanding of Apache Spark along with practical exposure. Plus, the learners will be provided with a shareable certificate after the completion of the programme.

Instructors

Ms Kate Sullivan
Technical Curriculum Developer
Databricks

FAQs

Which AI company is working with Coursera to offer the Apache Spark (TM) SQL for Data Analysts online course?

The AI company that collaborated with Coursera to provide the online programme is Databricks.

Who is the person who curated and tutors the Apache Spark (TM) SQL for Data Analysts online certification?

The online certificate programme is curated and tutored by Kate Sullivan who is a technical curriculum developer.

Who is the intended audience of the online course? Is there any pre-requirement to be able to join the programme?

The intended audience of the online certification course is intermediate-level students and Coursera recommends that learners have the familiarity with SQL to pursue the online course.