Facebook

Snowflake Data Science Training

* Looking for a flexible schedule (after hours or weekends)? Please call 858-208-4141 or email us:  sales@ccslearningacademy.com.

Student financing options are available.

Transitioning military and Veterans, please contact us to sign up for a free consultation on training and hiring options.

Looking for group training? Contact Us

psinghal
Last Update December 12, 2023
0 already enrolled

About This Course

Course Description

This 3-day class is ideal for Snowflake users who are interested in developing the skills and experience necessary to utilize Snowflake Data Cloud for Data Science workloads. This course will cover key concepts, features, considerations, and best practices for building out data science solutions within Snowflake.

Learning Objectives

Collect and access data from Snowflake Data Marketplace and other sources
Manage and architect data lakes and real time streams
Employ Snowflake best practices for developing or querying semi-structured and other data types
Work with supervised and unsupervised machine learning models using some of the most relevant open source framework and libraries
Formulate data science and machine learning workflow and data pipelines
Manage and deploy machine learning models at scale with APIs
Visualize and collaborate on machine learning results

Inclusions

  • Instructor-led training
  • Training Seminar Student Handbook
  • Collaboration with classmates (not currently available for self-paced course)
  • Real-world learning activities and scenarios
  • Exam scheduling support*
  • Enjoy job placement assistance for the first 12 months after course completion.
  • This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
  • Government and Private pricing available.*

Pre-requisites

  • Basic knowledge of SQL is required
  • Foundational knowledge of databases
  • Python or some other object-oriented programming language

Target Audience

  • Data scientists who build and train machine learning models
  • Data scientists and data analysts who use the machine learning models to conduct predictive and prescriptive analytics

Curriculum

44 Lessons24h

1. Snowflake Data Cloud Architecture and Overview

Snowflake Data Cloud overview
Three-tiered architecture
Snowflake UI and core capabilities, including elasticity, workload separation, data security and simplicity of performance

2. Data Exchange and Data Marketplace

3. Data Lake for Machine Learning and Analytics

4. Data Ingestion service and Continuous Data Pipelines

5. Working with Semi-Structured Data

6. Data Science and Machine Learning Concepts and Applications

7. Data Science Toolset and Ecosystem

8. Exploratory Data Analysis and Feature Engineering

9. Machine Learning Model Development and Tuning

10. Model Management and Deployment at Scale

11. Visualizing and Collaborating on Data Science and Machine Learning Results

Your Instructors

psinghal

0/5
430 Courses
0 Reviews
0 Students
See more

Write a review

IMG1696503037.jpg

$3,000.00

Level
Intermediate
Duration 24 hours
Lectures
44 lectures

Inclusions

  • Instructor-led training
  • Training Seminar Student Handbook
  • Collaboration with classmates (not currently available for self-paced course)
  • Real-world learning activities and scenarios
  • Exam scheduling support*
  • Enjoy job placement assistance for the first 12 months after course completion.
  • This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
  • Government and Private pricing available.*

Don't have an account yet? Sign up for free

🚀 Get Up to 33% OFF on Top Courses + FREE e-learning subscription (worth $1595)
This is default text for notification bar
#edumall-wp-widget-courses-1 { display: none; } #single-course-ratings { display: none; } .tutor-single-course-lead-meta { display: none; } .lead-meta-item meta-course-total-enrolled { display: none; }