Corporate Dataiku Data Science Studio (DSS) Training Course

Name: Dataiku Data Science Studio (DSS) Training
Availability: InStock

Edstellar’s Dataiku Data Science Studio (DSS) instructor-led training course equips professionals with skills to leverage the DSS platform for robust data science and analytics solutions. Teams will gain expertise in data preprocessing, machine learning model development and deployment, and automate data pipelines for efficient data processing.

Duration

16 - 24 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Dataiku Data Science Studio (DSS) Corporate Training

Dataiku Data Science Studio (DSS) is an advanced data science and analytics platform designed to streamline the entire data lifecycle. DSS helps teams by enabling them to efficiently harness their data resources, derive valuable insights, and make data-driven decisions to optimize operations. Professionals need training in Dataiku Data Science Studio (DSS) to navigate the complexities of data preprocessing, modeling, visualization, and deployment.

Edstellar's virtual/onsite Dataiku Data Science Studio (DSS) instructor-led training course provides customization and utilizes cutting-edge methodologies. Our trainers are known for their expertise in Dataiku DSS and have vast experience in guiding teams through the complexities of data science, analytics, and machine learning.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Data Preprocessing
Data Preprocessing is the technique of cleaning and transforming raw data into a usable format. This skill is important for data analysts and scientists to ensure accurate analysis and insights.
Machine Learning Modeling
Machine Learning Modeling involves creating algorithms that enable computers to learn from data. This skill is important for data scientists and AI engineers to develop predictive systems.
Data Visualization
Data Visualization is the ability to represent data graphically, making complex information accessible and understandable. this skill is important for analysts and decision-makers to identify trends, insights, and patterns effectively.
Collaboration
Collaboration is the ability to work effectively with others to achieve common goals. This skill is important for roles in team-oriented environments, enhancing productivity and innovation.
Workflow Automation
Workflow Automation is the use of technology to streamline and automate repetitive tasks, enhancing efficiency. This skill is important for roles in project management and operations, as it reduces errors and saves time.
Model Evaluation
Model Evaluation is the process of assessing a machine learning model's performance using metrics like accuracy and precision. this skill is important for data scientists and machine learning engineers to ensure models are effective and reliable in real-world applications.

What Your Team Will Achieve After This Training

Utilize machine learning algorithms to develop predictive models for forecasting and decision support
Interpret and analyze model evaluation metrics to assess model performance and refine algorithms
Create interactive visualizations to communicate insights and trends effectively to stakeholders
Collaborate with team members to manage and execute data science projects within the Dataiku DSS environment
Implement best practices for version control and project documentation to ensure reproducibility and transparency
Troubleshoot and debug issues encountered during the development and deployment of machine learning models

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Introduction to Data Science Studio (DSS)

Overview of Dataiku DSS platform
- Key functionalities and capabilities of DSS
- Benefits of using DSS for data science projects
Understanding the user interface and workflow
- Layout and navigation of the DSS platform
- Typical workflow for data science projects in DSS
Exploring project creation and management
- Creating new projects and setting permissions
- Organizing projects with folders and subfolders
- Managing project versions and collaboration tools
Navigating data exploration and preparation features
- Data browsing and filtering functionalities
- Techniques for data cleaning and transformation
- Data quality checks and handling missing values

Data Management with Data Retention and Folder Self-Service Explained

Data ingestion methods and best practices
- Uploading data from local files and cloud storage
- Connecting to databases and external APIs
- Scheduling automated data refreshes
Understanding data connectors and integrations
- Exploring available connectors for different data sources
- Configuring and customizing data connections
- Managing data security and authentication for integrations
Implementing data retention policies
- Setting data expiration rules and storage optimization techniques
- Ensuring data governance and compliance requirements
- Archiving and purging historical data
Configuring folder self-service permissions and access controls
- Defining user roles and permissions for data access
- Sharing folders and datasets with specific collaborators

Graphic Visualization

Creating various types of visualizations
- Choosing the right chart type for different data types
- Creating effective visualizations for communication
Utilizing interactive features for exploration and analysis
- Implementing filters, drill-downs, and tooltips for charts
- Creating dashboards for interactive data exploration
- Sharing and embedding visualizations for wider audiences
Incorporating advanced visualization techniques
- Using heatmaps to depict correlations and patterns in data
- Leveraging treemaps to visualize hierarchical data structures
- Exploring other advanced visualization options in DSS
Customizing visualizations to convey insights effectively
- Tailoring visualizations to specific audiences and purposes
- Highlighting key findings and trends with annotations

Openness to Modeling Introduction to Prediction

Introduction to machine learning concepts and terminology
- Core concepts of machine learning
- Common machine learning algorithms and their applications
- Understanding the role of data in machine learning models
Exploring supervised and unsupervised learning algorithms
- Classification algorithms for predicting categorical outcomes
- Regression algorithms for predicting continuous values
- Clustering algorithms for grouping similar data points
Feature engineering techniques for model development
- Feature selection and transformation methods
- Creating new features from existing data
Evaluating model performance metrics for prediction tasks
- Understanding accuracy, precision, recall, and other metrics
- Comparing different models and identifying the best performer
- Techniques for addressing bias and overfitting in models

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Scientists
Data Analysts
Business Analysts
Machine Learning Engineers
Data Engineers
Research Scientists
IT Analysts
Operations Analysts
Big Data Specialists
Predictive Modelers
Quantitative Analysts
Managers

What are the Prerequisites?

Professionals with a basic understanding of data analysis concepts and familiarity with programming languages such as Python or R can take up the Dataiku Data Science Studio (DSS) training course.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Dataiku Data Science Studio (DSS) Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

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On-site Dataiku Data Science Studio (DSS) Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

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Off-site Dataiku Data Science Studio (DSS) Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

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What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Dataiku Data Science Studio (DSS) course revolutionized how I approach my daily responsibilities. As a Senior Data Platform Engineer, understanding practical applications was essential, and this training real-world experience. These specialized skills have positioned me for significant advancement opportunities within my organization. The instructor's insights on hands-on exercises have proven instrumental in my professional advancement.”

Michelle Dixon

Senior Data Platform Engineer,

Advanced Analytics Platform Provider

"The Dataiku Data Science Studio (DSS) training provided critical insights into industry best practices that enhanced my consulting capabilities. As a Lead Analytics Engineer, I now leverage interactive labs with The practical exercises on expert-led workshops prepared me perfectly for real-world client scenarios. We delivered a high-visibility enterprise project two months ahead of schedule, demonstrating immediate value from this investment.”

Jakub Novotny

Lead Analytics Engineer,

Data-Driven Insights Company

"As a Senior Database Administrator overseeing strategic implementation initiatives, the Dataiku Data Science Studio (DSS) training significantly elevated our team's capabilities. The course expertly covered advanced our operational effectiveness. Our department achieved a remarkable 50% improvement in operational efficiency metrics. Our department has achieved remarkable improvements, demonstrating this course's lasting organizational impact.”

Balan Abraham

Senior Database Administrator,

Statistical Analysis Services Provider

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

Corporate Dataiku Data Science Studio (DSS) Training Course

Drive Team Excellence with Dataiku Data Science Studio (DSS) Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Introduction to Data Science Studio (DSS)

Data Management with Data Retention and Folder Self-Service Explained

Graphic Visualization

Openness to Modeling Introduction to Prediction

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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