Unable to find what you're searching for?
We're here to help you find itUnlock 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
♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
To ensure a successful learning experience in the Snowflake Data Science course, we recommend that participants possess the following foundational knowledge:
These prerequisites will help you fully engage with the course content and successfully apply the practical skills taught.
If you do not meet these prerequisites, we recommend taking introductory courses in SQL, Python, databases, and data science to better prepare for this advanced training program.
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:
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.
Gain an understanding of data science workloads on the Snowflake Data Cloud
Utilize Snowflake's diverse data storage options
Acquire data efficiently within Snowflake
Prepare and transform data for analysis
Perform Exploratory Data Analysis (EDA)
**Conduct feature engineering for
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:
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.
Gain an understanding of data science workloads on the Snowflake Data Cloud
Utilize Snowflake's diverse data storage options
Acquire data efficiently within Snowflake
Prepare and transform data for analysis
Perform Exploratory Data Analysis (EDA)
**Conduct feature engineering for
