Dataiku Data Science Studio(DSS) Designer-Beginners Bootcamp

Dataiku Data Science Studio(DSS) Designer-Beginners Bootcamp, available at $54.99, has an average rating of 4.1, with 21 lectures, based on 45 reviews, and has 233 subscribers.

You will learn about Should be able to access the Dataikus 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 This course is ideal for individuals who are Absolute beginners or Anyone interested in cleaning and preparing raw data or Anyone who is completely new to dataiku or Anyone who just heard of dataiku and would like to explore more. It is particularly useful for Absolute beginners or Anyone interested in cleaning and preparing raw data or Anyone who is completely new to dataiku or Anyone who just heard of dataiku and would like to explore more.

Enroll now: Dataiku Data Science Studio(DSS) Designer-Beginners Bootcamp

Summary

Title: Dataiku Data Science Studio(DSS) Designer-Beginners Bootcamp

Price: $54.99

Average Rating: 4.1

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

Should be able to access the Dataikus 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.

Target Audiences

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.

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.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Introduction to designer series

Chapter 2: Access to Dataiku trail version

Lecture 1: Dataiku cloud instance-Launch Pad Walkthrough

Chapter 3: Dataiku Data Science Studio (DSS)

Lecture 1: DSS Designer Studio UI Walkthrough

Chapter 4: Importing Raw Data to DSS

Lecture 1: Importing Raw Data from Local Storage

Lecture 2: Importing Raw Data from Cloud Storage

Chapter 5: Data preparation with Visual recipes

Lecture 1: Visual Sync recipe

Lecture 2: Visual Prepare Recipe-Introduction

Chapter 6: Project on Visual Prepare Recipe

Lecture 1: Project Outline

Lecture 2: Project Practical Implementation-Part1

Lecture 3: Project Practical Implementation-Part2

Chapter 7: Visual Recipes Continuation

Lecture 1: Visual Group-By Recipe

Lecture 2: Visual Sort-By and Sample/Filter Recipe

Lecture 3: Visual Stack Recipe

Lecture 4: Visual Split Recipe

Lecture 5: Visual Join Recipe

Lecture 6: Visual Window Recipe

Chapter 8: Data preparation with Code Recipes

Lecture 1: Python Code Recipe – Introduction

Lecture 2: Python Code Recipe – Basics

Lecture 3: Python Code – GroupBy Recipe

Chapter 9: Data Reporting – Dashboard Creation

Lecture 1: Data Reporting-Charts & Dashboard

Lecture 2: Data Analysis by Statistics Cards-Basic

Instructors

Chandan H R
BI and Data specialist

Rating Distribution

1 stars: 3 votes

2 stars: 3 votes

3 stars: 12 votes

4 stars: 10 votes

5 stars: 17 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!