Dataiku Data Science Studio(DSS) Designer-Beginners Bootcamp
Learn Dataiku Data Science Studio in this Designer Series, A 100% practical hands-on based course, Structured logically
Description
More than half of the time in any BI and Data science project is spent on cleaning the raw data and preparing it for analysis ready. In this Dataiku DSS Designer series, we are learning this part of data project in an efficient way.
This is a complete practical hands-on based course, Structured logically
This course is for absolute beginners, At the end of this course you will be:
Able to access the Dataiku's free cloud train instance
Able to navigate through the launch pad and understand the environment details
Able to successfully source the data from local and cloud storages
Confidently apply various visual recipes on the sourced data
Understanding the code recipe and using it in pipeline
Visualize the data by applying charts,graphs and other visual statistics
Use Dataiku in your Professional Day Job-For Extract transform and load
In just one weekend you will go from absolute beginner to being able to integrate data from multiple sources, perform data preparation and cleansing to raw data sets and more.
Requirements
No prior coding experience required
Basic knowledge of any programming or querying language or cloud would be extra beneficial. But not absolutely neccessary
Curiosity to explore the data.
What You Will Learn!
- Should be able to access the Dataiku's free cloud train instance
- Able to navigate through the launch pad and understand the environment details
- Able to successfully source the data from local and cloud storages
- Confidently apply various visual recipes on the sourced data
- Understanding the code recipe and using it in pipeline
- Visualize the data by applying charts,graphs and other visual statistics
- Use Dataiku in your Professional Day Job-For Extract transform and load
- Develop end to end dataiku pipeline
Who Should Attend!
- Absolute beginners
- Anyone interested in cleaning and preparing raw data
- Anyone who is completely new to dataiku
- Anyone who just heard of dataiku and would like to explore more.