Dataiku Certification Training Course Online

12 Lesson

40 Hours

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igmGuru offers the best Dataiku Training Course online worldwide. Dataiku is a leading data science and machine learning platform that enables users to design, build and manage end-to-end AI projects. This course is designed to guide professionals through every stage of the Dataiku Data Science Studio (DSS) platform, from data preparation and visualization to model creation, deployment and monitoring. It covers both no-code and code-based approaches, allowing learners from business and technical backgrounds to collaborate effectively. The program equips you with practical, industry-ready skills to build, automate and manage AI-driven workflows using Dataiku.

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Dataiku Course Overview

Dataiku Training provides practical experience in using Dataiku Data Science Studio (DSS) to prepare data, build machine learning models, automate workflows, and deploy AI solutions. The course covers collaborative analytics, visual and code-based development, model evaluation, and project governance, enabling teams to develop and manage end-to-end data science projects in enterprise environments.

Prerequisites:

Technical Prerequisites

Basic understanding of statistics and machine learning concepts
Familiarity with Python, R, or SQL
Understanding of data preparation and data analysis principles
Experience with data processing or big data tools such as Apache Hadoop or Spark

System Requirements

64-bit CPU and operating system
Hardware virtualization enabled in BIOS
VirtualBox or VMware Player installed
Minimum 8 GB RAM

Recommended Background

Degree or experience in a STEM field (for advanced modules)

What Will You Learn:

Dataiku DSS interface and core concepts
Project and Flow management
Team collaboration tools and shared dashboards
Data connectivity with SQL, cloud, Hadoop, and Spark
Data preparation and transformation using visual recipes
Exploratory data analysis and visualization
Machine learning fundamentals
Model creation, evaluation, and tuning
Time series forecasting and image classification
Custom coding with Python, R, and SQL
Automation of data pipelines and workflows
Model deployment and production scoring
Model performance monitoring and governance
End-to-end data science project development

Who Should Do This Training

Data Scientists and Analysts
Data Engineers and Managers
Business and Project Analysts
CRM and Marketing Professionals
IT and Software Engineers
Students and Researchers in Computer Science, Business, or Data Science
Career Switchers seeking roles in Analytics or AI

Dataiku Course Syllabus

Lesson 1 - Introduction to Dataiku DSS

1. Overview of Dataiku Platform and Capabilities

2. Understanding Projects, Flow, Datasets, and Recipes

3. Navigating the Dataiku DSS Interface

Lesson 2 - Data Import and Connectivity

1. Connecting to Databases, Cloud Storage and APIs

2. Importing Data from Local and External Sources

3. Working with SQL, Hadoop and Spark Connections

Lesson 3 - Data Preparation and Cleaning

1. Visual Recipes for Data Wrangling

2. Joining, Filtering, Grouping and Stacking Datasets

3. Handling Missing Values and Data Types

4. Using Formulas and Computed Columns

Lesson 4 - Data Exploration and Visualization

1. Exploratory Data Analysis (EDA) in Dataiku

2. Creating Charts, Graphs and Statistical Summaries

3. Building Interactive Dashboards

Lesson 5 - Machine Learning with Dataiku

1. Introduction to Machine Learning Concepts and AutoML in Dataiku

2. Building Predictive Models using Visual ML

3. Feature Engineering and Variable Selection

4. Model Evaluation and Performance Metrics

Lesson 6 - Advanced Analytics and Coding

1. Using Python, R, and SQL Recipes

2. Creating Custom Models and Scripts

3. Working with Notebooks and Plugins

4. Time Series Forecasting and Image Classification

Lesson 7 - Automation and Scenarios

1. Automating Data Workflows

2. Using Variables and Triggers

3. Scheduling Tasks and Scenarios

Lesson 8 - Model Deployment and MLOps

1. Deploying Models to Production

2. Batch and Real-Time Scoring

3. Model Retraining and Version Management

Lesson 9 - Monitoring and Governance

1. Tracking Model Performance Over Time

2. Managing Model Drift and Retraining Policies

3. Enforcing Data Governance and Security Standards

Lesson 10 - Collaboration and Project Management

1. Working in Teams with Flow Zones and Tags

2. Managing Permissions and Roles

3. Using Wikis, Discussions, and Shared Dashboards

Lesson 11 - Administration and Configuration (for IT Professionals)

1. Installing and Configuring Dataiku DSS

2. Managing Users, Groups and Integrations

3. Backup, Maintenance and System Optimization

Lesson 12 - Capstone Project

1. Building an End-to-End Data Science Project

2. From Data Ingestion to Model Deployment

3. Real-World Application and Assessment

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Dataiku Training Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 40 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 22 Aug 2026
Weekday Batch 24 Aug 2026
Weekend Batch 22 Aug 2026

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Industry Experienced Trainers
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Dataiku Certification Online Training

After completing the Dataiku Training Course and practical exercises, learners receive a Course Completion Certificate from igmGuru. This certification validates your ability to use Dataiku DSS for data preparation, machine learning, automation and AI project deployment in real-world business scenarios.

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Dataiku Certification Training Course Online