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Kate Sullivan +3 more instructors

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Data Science with Databricks for Data Analysts SpecializationDatabricks

What you will learn

Discover how Databricks and Apache Spark simplify big data processing and optimize data analysis.

Frame business problems for data science and machine learning to make the most out of big data analytic workflows.

Solve real-world business problems quickly using Databricks to power the most popular data science techniques.

Ingest, transform, and query data to extract valuable insights.

Skills you will gain

Data ScienceData AnalysisMachine LearningSpark SQLSQLDatabricks

About this Specialization

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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.

Applied Learning Project

In this specialization, you'll complete a series of hands-on lab assignments and projects. The lab assignments will allow you to test-drive Databricks and Apache Spark to streamline today's most popular data science workflows. You will also apply the latest data science strategies to complete and assess your very own data science project.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Familiarity with SQL and Python will help you as you progress through this specialization.

Approximately 5 months to complete

Suggested pace of 2 hours/week

English

Subtitles: English

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Familiarity with SQL and Python will help you as you progress through this specialization.

Approximately 5 months to complete

Suggested pace of 2 hours/week

English

Subtitles: English

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

There are 3 Courses in this Specialization

Course1

Course 1

Apache Spark (TM) SQL for Data Analysts

4.5

stars

118 ratings

•

30 reviews

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.

Course2

Course 2

Data Science Fundamentals for Data Analysts

3.9

stars

8 ratings

•

1 reviews

In this course we're going to guide you through the fundamental building blocks of data science, one of the fastest-growing fields in the world!

With the help of our industry-leading data scientists, we’ve designed this course to build ready-to-apply data science skills in just 15 hours of learning. First, we’ll give you a quick introduction to data science - what it is and how it is used to solve real-world problems. For the rest of the course, we'll teach you the skills you need to apply foundational data science concepts and techniques to solve these real-world problems. By the end of this course, you'll be able to leverage your existing data analysis skills to design, execute, assess, and communicate the results of your very own data science projects.

Course3

Course 3

Applied Data Science for Data Analysts

3.9

stars

14 ratings

•

3 reviews

In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. You will also learn to apply hyperparameter tuning and cross-validation strategies to improve model performance.

Instructors

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.

Frequently Asked Questions

What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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.
Can I take the course for free?
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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
How long does it take to complete the Specialization?
This specialization includes approximately 35 hours of content. If you are able to complete two to three hours of content a week, it will take you about approximately three and a half months to complete.
What background knowledge is necessary?
While not required, familiarity with SQL will be helpful as you progress through this specialization.
Do I need to take the courses in a specific order?
Yes. Courses should be taken in this order:
Apache Spark SQL for Data Analysts
Data Science Fundamentals for Data Analysts
Applied Data Science for Data Analysts
Will I earn university credit for completing the Specialization?
You will not earn university credit for completing this Specialization.
What will I be able to do upon completing the Specialization?
You'll be able to use Databricks, along with the latest data science techniques to solve real-world business problems.

More questions? Visit the Learner Help Center.