Snowflake Data Science Course Overview

Snowflake Data Science Course Overview

Unlock the potential of Snowflake for your data science projects with our Snowflake Data Science Course. Over three immersive days, you'll master the essentials of utilizing Snowflake Data Cloud for sophisticated data science workloads. Through insightful lectures, demos, labs, and discussions, you will explore machine learning datasets, open-source ML frameworks, and effective model deployment practices. Gain hands-on experience in data acquisition, preparation, exploratory data analysis, feature engineering, model training, and deployment. By the end of the course, you’ll be equipped with practical skills essential for real-world data science jobs. Suitable for participants with a background in SQL, Python, and machine learning.

Purchase This Course

Fee On Request

  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
  • Select Date
    date-img
  • CST(united states) date-img

Select Time


♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Request More Information

Email:  WhatsApp:

Target Audience for Snowflake Data Science

Snowflake Data Science Course
This course is designed for professionals looking to enhance their data science skills using Snowflake's Data Cloud, covering everything from data storage to model deployment and ML operations.


Target Audience and Relevant Job Roles:


  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers
  • Data Engineers
  • SQL Developers
  • Python Developers
  • Business Intelligence (BI) Developers
  • Data Architects
  • Database Administrators (DBAs)
  • Statisticians
  • AI Researchers
  • Technical Leads in Data Science Teams
  • Data Science Managers
  • Cloud Specialists with a focus on Data Science
  • IT Professionals transitioning to Data Science Roles
  • Consultants specializing in Data Solutions
  • Academics and Researchers in Data Science and Machine Learning


Learning Objectives - What you will Learn in this Snowflake Data Science?

Introduction

The Snowflake Data Science course equips participants with hands-on skills to utilize Snowflake Data Cloud for data science workloads, covering data storage, acquisition, preparation, exploratory data analysis, feature engineering, model training, deployment, and ML Ops.

Learning Objectives and Outcomes

  • Gain an understanding of data science workloads on the Snowflake Data Cloud

    • Understand how to connect to Snowflake and navigate its environment
    • Learn the types of datasets and objects supported by Snowflake
  • Utilize Snowflake's diverse data storage options

    • Explore different data types, including unstructured data and the Variant Data Type
    • Learn about Snowpark and its capabilities for data processing and transformation
  • Acquire data efficiently within Snowflake

    • Understand how to access external data sources
    • Learn methods for loading data into Snowflake and leveraging the Data Cloud for global access
  • Prepare and transform data for analysis

    • Sample and tidy tables for better data quality
    • Utilize Snowpark for advanced data transformation processes
  • Perform Exploratory Data Analysis (EDA)

    • Use Snowflake tools for EDA and perform univariate regression
    • Employ approximation functions for initial data insights
  • **Conduct feature engineering for

Suggested Courses

What other information would you like to see on this page?
USD