Managing Data Science Projects

Run data-science initiatives from problem definition through deployment and ongoing risk management. Data-science principles cover the workflow from problem definition through evaluation and...

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By Request
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$1,665USD
Duration 2 days
Course Code DS-2301
Available Formats Classroom

Overview

Course Description

Run data-science initiatives from problem definition through deployment and ongoing risk management. Data-science principles cover the workflow from problem definition through evaluation and deployment, the activities that fill each phase, and the challenges that surface as projects move between them. Team management and the ethics-and-risk discipline cover building strong teams, communication, scaling, responsible-AI practices, mitigation strategies, and case studies capturing the regulatory scrutiny project leaders now face. Goals-and-metrics frameworks tie data-science work to measurable business outcomes. Hands-on case studies on real project successes and failures produce a management toolkit, a governance plan, and a goals-and-metrics worksheet. The course is designed for project and program managers and senior managers leading data-science initiatives.

Skills Gained

By the end of this course, participants will be able to:

  • Apply data-science project-management techniques to meet business goals
  • Resolve common project issues to keep initiatives on track
  • Lead and coordinate data-science teams across functions
  • Apply ethical considerations and data governance to projects
  • Connect data-science work to measurable business results

Who Can Benefit

This course is designed for:

  • Project or Program Managers
  • Senior Managers

Prerequisites

Participants should enter this course with:

  • Practical project management experience

Organizational Objectives

This course assists organizations to:

  • Reduce data-science project failure rate through codified workflow management
  • Lower governance risk through trained recognition of ethical and legal issues
  • Build a working data-science PM vocabulary across the management layer
  • Establish goal-and-metric patterns that tie data-science work to business outcomes

Software

All attendees must have a modern web browser and an Internet connection.

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Course Details

Course Details

Module 1 - Introduction to Data Science Principles

By the end of this module, you will be able to articulate what data science is, walk the data-science workflow, choose appropriate tools, recognize data types and structures, and characterize core statistical and machine-learning concepts.

  • Overview of Data Science
  • The Data Science Workflow
  • Essential Tools for Data Science
  • Understanding Data Types & Structures
  • Statistical and Machine Learning Concepts
  • Hands-on Lab: Run a data-cleaning and preprocessing experiment and produce an exploratory data analysis on the same dataset.

Module 2 - Understanding the Data Science Workflow

By the end of this module, you will be able to walk the data-science workflow from problem definition through deployment — data collection and preprocessing, EDA, feature engineering, model selection and training, evaluation and tuning, and monitoring.

  • Introduction to the data science workflow
  • Problem definition and data collection
  • Cleaning, preprocessing, and exploratory data analysis
  • Feature engineering, model selection, and training
  • Model evaluation and tuning
  • Deployment and monitoring
  • Hands-on Lab: Walk a model through selection, evaluation, and deploy it as an API.

Module 3 - Activities and Challenges of Data Science

By the end of this module, you will be able to address poor data quality, handle big data, choose the right model, deal with imbalanced datasets, and reason about ethical and legal issues across data-science projects.

  • Key Activities in Data Science
  • Addressing Poor Data Quality
  • Handling Big Data
  • Choosing the Right Model
  • Dealing with Imbalanced Datasets
  • Ethical & Legal Issues
  • Hands-on Lab: Run a bias-detection exercise on a real dataset alongside a data-cleaning challenge.

Module 4 - Data Science Goals and Metrics

By the end of this module, you will be able to define data-science goals, choose key metrics for the goals, and tie metrics to business outcomes.

  • Data Science Goals and Metrics
  • Defining Data Science Goals
  • Key Metrics in Data Science
  • Hands-on Lab: Evaluate classification models against business-impact metrics for one realistic project.

Module 5 - Managing Data Science Teams

By the end of this module, you will be able to build and lead a data-science team, manage workflows and projects, foster communication and collaboration, scale and optimize teams, and apply ethical and responsible-AI management.

  • Building a Strong Data Science Team
  • Managing Data Science Workflows & Projects
  • Communication & Collaboration in Data Science Teams
  • Scaling & Optimizing Data Science Teams
  • Ethical & Responsible AI Management
  • Hands-on Lab: Apply Agile project-management techniques to a data-science case study and exercise data-storytelling.

Module 6 - Data Science Ethics and Risk Management

By the end of this module, you will be able to apply key ethical principles to data science, manage data-science risks, implement ethical-AI and risk-management strategies, and learn from real case studies.

  • Introduction to Data Science Ethics & Risk Management
  • Key Ethical Principles in Data Science
  • Risk Management in Data Science
  • Implementing Ethical AI & Risk Management Strategies
  • Case Studies in Ethical AI & Risk Management
  • Hands-on Lab: Run a privacy-preserving data analysis and conduct an ethical risk assessment for one AI model.

Schedule

Upcoming Course Dates

There are currently no scheduled dates for this course. If you are interested in this course, contact us with the form below.

Contact Information

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

Reviews

Great oppportunity for me to get training on the software during my work day.

Instructor was great, course was mostly very good except for too much focus on pricing

Some Labs are very good but some steps it ask to update but its already updated, but overall its very good training.

The class covered the concepts needed for the AWS Cloud Practitioner Certification.

very good and spcecific course and above all a very good instructor. In few days I have learned a lot.