Dataiku
Master Dataiku for data preparation, analytics, machine learning, data pipelines, automation, and AI-powered data science through hands-on practical training.
Course Description
The Dataiku Training Program is designed to help learners understand modern data analytics, data science, and machine learning workflows using the Dataiku platform.
Students will explore the Dataiku DSS environment, project creation, datasets, data preparation, visual recipes, data transformation, and automated workflows. The course covers data integration, data cleaning, exploratory data analysis, machine learning, model development, and deployment fundamentals.
Learners will gain practical experience in building data pipelines, preparing datasets, creating analytical workflows, and developing machine learning models using both visual tools and coding techniques.
Through industry-oriented projects, students will understand how organizations use Dataiku to simplify data science processes and build scalable analytics solutions.
Trainer
N
Navdeep Singh
Data Analytics and Enterprise Data Architecture
20 years experience
Experienced Data Analytics Trainer with expertise in transforming raw data into actionable business insights. Skilled in data visualization, statistical analysis, business intelligence, and reporting....
Technologies Covered
Dataiku DSS
Python
SQL
Machine Learning
Data Preparation
Data Integration
Visual Recipes
Data Pipelines
Data Visualization
Exploratory Data Analysis
Model Development
Workflow Automation
Projects
- Customer Churn Prediction Using Dataiku
- Sales Data Preparation and Analysis
- End-to-End Data Pipeline Development
- Customer Segmentation Using Machine Learning
- Predictive Analytics Model Development
FAQ
Dataiku is a collaborative data science and AI platform used for data preparation, analytics, machine learning, data pipeline development, and workflow automation.
Basic Python and SQL knowledge are beneficial, but Dataiku also provides visual tools that allow users to perform many data preparation and analytics tasks without extensive coding.
Learners can explore roles such as Dataiku Developer, Data Analyst, Data Scientist, Machine Learning Engineer, and Analytics Engineer.