When will I receive my Course Certificate?

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

Why can’t I audit this course?

This course is currently available only to learners who have paid or received financial aid, when available.

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.

The Ultimate Guide to Snowpark

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The Ultimate Guide to Snowpark

Instructor: Packt - Course Instructors

Included with

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8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Harness Snowpark with Python for diverse workloads.
Develop robust data pipelines using Snowpark.
Deploy and operate machine learning models with Snowpark.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There are 8 modules in this course

Snowpark has become an essential framework for modern data engineering, analytics, and machine learning workflows. This course equips learners with the skills to leverage Snowpark effectively and apply it across real-world data challenges.

You’ll progress from foundational Snowpark concepts to efficiently processing data, building end-to-end pipelines, and developing data science solutions. By the end, you’ll be able to create scalable applications and deploy models directly within the Snowflake ecosystem. What sets this course apart is its blend of hands-on exercises and practical demonstrations, reinforcing core concepts with real Snowpark implementations. You’ll not only understand the framework but learn how to apply it to complex business needs. This course is ideal for data engineers, data scientists, and developers familiar with Python, SQL, or Snowflake who want to deepen their Snowpark capabilities.

In this section, we explore Snowpark's Python integration, scalability, and applications in data engineering and science.

What's included

2 videos1 reading1 assignment

In this section, we explore configuring the Snowpark environment, structuring projects, and using Python worksheets for efficient data application development with Snowpark.

What's included

1 video7 readings1 assignment

1 video Total 1 minute

Establishing a Foundation with Snowpark - Overview Video 1 minute

7 readings Total 110 minutes

Introduction 30 minutes
Managing Anaconda Packages in Python Worksheets 30 minutes
Features of Python Worksheets 10 minutes
Operating with Snowpark 10 minutes
Working with DataFrames 10 minutes
Working with UDTFs 10 minutes
Vectorized UDFs 10 minutes

1 assignment Total 10 minutes

Snowpark Foundations and Python Integration 10 minutes

In this section, we explore data ingestion, transformation, and analysis using Snowpark. Key concepts include CSV, JSON, and Parquet loading, DataFrame operations, and pandas integration for efficient data workflows.

What's included

1 video6 readings1 assignment

1 video Total 1 minute

Simplifying Data Processing Using Snowpark - Overview Video 1 minute

6 readings Total 100 minutes

Introduction 10 minutes
Ingesting JSON into Snowflake 20 minutes
Data Exploration and Transformation 20 minutes
Appending Data 20 minutes
Dropping Duplicates 10 minutes
Variable Interaction 20 minutes

1 assignment Total 10 minutes

Data Processing with Snowpark 10 minutes

In this section, we explore building resilient data pipelines with Snowpark, deploying efficient DataOps, and implementing logging and tracing for reliable data delivery.

What's included

1 video6 readings1 assignment

1 video Total 1 minute

Building Data Engineering Pipelines with Snowpark - Overview Video 1 minute

6 readings Total 60 minutes

Introduction 10 minutes
Deploying Efficient DataOps in Snowpark 10 minutes
Data Cleanup 10 minutes
Implementing Logging and Tracing in Snowpark 10 minutes
Capturing Informational Logs 10 minutes
Capturing Traces 10 minutes

1 assignment Total 10 minutes

Snowpark and Data Engineering Pipeline Fundamentals 10 minutes

In this section, we explore data science workflows in Snowpark, focusing on data preparation, ML model training, and efficient processing in Data Cloud for scalable applications.

What's included

1 video5 readings1 assignment

In this section, we explore deploying ML models in Snowpark, managing model data with feature stores, and tracking metrics and versions in registries for scalable and reproducible workflows.

What's included

1 video5 readings1 assignment

1 video Total 1 minute

Deploying and Managing ML Models with Snowpark - Overview Video 1 minute

5 readings Total 50 minutes

Introduction 10 minutes
Logging the Optimal Model 10 minutes
Model Tags and Descriptions 10 minutes
Benefits of the Model Registry in the Model Lifecycle 10 minutes
Creating Feature Views 10 minutes

1 assignment Total 10 minutes

Deploying and Managing Machine Learning Models 10 minutes

In this section, we explore building, publishing, and managing native applications using Snowpark. Key concepts include framework components, marketplace distribution, and version control for efficient data workflows.

What's included

1 video4 readings1 assignment

In this section, we explore deploying containerized applications and large language models (LLMs) using Snowpark Container Services. It covers setup, job configuration, and efficient resource management for data-centric workflows.

What's included

1 video5 readings1 assignment

Instructor

Packt - Course Instructors

Packt

1,542 Courses 417,120 learners

Offered by

Packt

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

The Ultimate Guide to Snowpark

The Ultimate Guide to Snowpark

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

See how employees at top companies are mastering in-demand skills

There are 8 modules in this course

Discovering Snowpark

What's included

Establishing a Foundation with Snowpark

What's included

Simplifying Data Processing Using Snowpark

What's included

Building Data Engineering Pipelines with Snowpark

What's included

Developing Data Science Projects with Snowpark

What's included

Deploying and Managing ML Models with Snowpark

What's included

Developing a Native Application with Snowpark

What's included

Introduction to Snowpark Container Services

What's included

Instructor

Offered by

Explore more from Data Management

Snowflake for Data Science: Intro to Snowpark ML for Python

Snowflake Cloud Data Platform: Getting Started

Snowflake - Build and Architect Data Pipelines Using AWS

Introduction to Modern Data Engineering with Snowflake

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

Join over 3,400 global companies that choose Coursera for Business

Frequently asked questions

Can I preview a course before enrolling?

When will I have access to the lectures and assignments?

What will I get when I enroll?

More questions