Dataiku Data Science Studio(DSS) Designer-Beginners Bootcamp

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Chandan H R

4:50:39

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1. Course Introduction

1. Introduction to designer series.mp4

03:03

2. Access to Dataiku trail version

1. Dataiku cloud instance-Launch Pad Walkthrough.mp4

11:32

3. Dataiku Data Science Studio (DSS)

1. DSS Designer Studio UI Walkthrough.mp4

15:19

4. Importing Raw Data to DSS

1.1 Customers Data.csv

1.2 Orders Data.csv

1. Importing Raw Data from Local Storage.mp4

11:41

2. Importing Raw Data from Cloud Storage.mp4

12:56

5. Data preparation with Visual recipes

1. Visual Sync recipe.mp4

08:24

2. Visual Prepare Recipe-Introduction.mp4

20:31

6. Project on Visual Prepare Recipe

1.1 ProjectOutline.pptx

1. Project Outline.mp4

10:58

2. Project Practical Implementation-Part1.mp4

29:42

3. Project Practical Implementation-Part2.mp4

20:57

7. Visual Recipes Continuation

1. Visual Group-By Recipe.mp4

11:24

2. Visual Sort-By and SampleFilter Recipe.mp4

09:50

3. Visual Stack Recipe.mp4

20:11

4. Visual Split Recipe.mp4

09:30

5. Visual Join Recipe.mp4

08:08

6. Visual Window Recipe.mp4

17:47

8. Data preparation with Code Recipes

1.1 Code Recipe Structure.txt

1. Python Code Recipe - Introduction.mp4

09:45

2.1 Basic Steps.txt

2. Python Code Recipe - Basics.mp4

20:48

3. Python Code - GroupBy Recipe.mp4

12:48

9. Data Reporting - Dashboard Creation

1. Data Reporting-Charts & Dashboard.mp4

18:05

2. Data Analysis by Statistics Cards-Basic.mp4

07:20

Description

Learn Dataiku Data Science Studio in this Designer Series, A 100% practical hands-on based course, Structured logically

What You'll 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 is this for?

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.

What You Need to Know?

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.

More details

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 DSSÂ 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.
Who this course is for:
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.

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Chandan is a Sr Developer and an Instructor specialising in BI and Data Engg.He has spent 5+ years working for a couple of publicly listed / unlisted companies as a Data and BI specialist. Over the course of his career Chandan has developed a skillset in data engineering, data analytics and business intelligence, with expertise across a number of technologies and programming languages including SQL, Python. He has worked extensively with a number of leading software platforms including Dataiku, MicroStrategy Enterprise BI, Azure tech stack, Hadoop, Spark, Databricks and more.

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