Certified Data Science Practitioner (CDSP™)

Price
$3,475.00

Duration
5 Days

 

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands on activities for each topic area.

This course includes an exam voucher.

Course Objectives

  • Use data science principles to address business issues.
  • Apply the extract, transform, and load (ETL) process to prepare datasets.
  • Use multiple techniques to analyze data and extract valuable insights.
  • Design a machine learning approach to address business issues.
  • Train, tune, and evaluate classification models.
  • Train, tune, and evaluate regression and forecasting models.
  • Train, tune, and evaluate clustering models.
  • Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.

    • Who Should Attend?

    This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.

    United Training is committed to working as a partner with our clients. Choose United Training and take advantage of the following benefits.

    • Robust Public Enrollment Schedule. Enjoy access to hundreds of Guaranteed to Run dates across a diverse catalog of course titles.
    • Private Group Training. Let our world-class instructors come to you to deliver training at your place of business or we can present to your team online using our Virtual Instructor-Led Training platform.
    • Custom Training Solutions. Our subject matter experts can customize the class to specifically address the unique goals of your team.
    • Free Re-Takes. Most completed United Training courses carry our unbeatable Learning Guarantee. This guarantee allows students to repeat most United Training courses, if they are the same version, FREE OF CHARGE, within six months of completion of the courses. Exceptions: Cisco, Citrix, VMware, Red Hat, and courses provided by affiliated 3rd party training providers.

    Learning Credits: Learning Credits can be purchased well in advance of your training date to avoid having to commit to specific courses or dates. Learning Credits allow you to secure your training budget for an entire year while eliminating the administrative headache of paying for individual classes. They can also be redeemed for a full year from the date of purchase. If you have previously purchased a Learning Credit agreement with United Training, you may use a portion of your agreement to pay for this class.

    Corporate Tech Pass: Our Corporate Tech Pass includes unlimited attendance for a single person, in the following Virtual Instructor Led course types: Microsoft Office, Microsoft Technical, CompTIA, Project Management, SharePoint, ITIL, Certified Ethical Hacker, Certified Hacking Forensics Investigator, Java, Professional Development Courses and more. The full list of eligible course titles can be found at https://unitedtraining.com/eligible.

    If you have questions about Learning Credits or our Corporate Tech Pass, please contact your Account Manager.

    Course Prerequisites

    There are no prerequisites for this course.

    Agenda

    1 - Addressing Business Issues with Data Science

    • Initiate a Data Science Project
    • Formulate a Data Science Problem

    2 - Extracting, Transforming, and Loading Data

    • Extract Data
    • Transform Data
    • Load Data

    3 - Analyzing Data

    • Examine Data
    • Explore the Underlying Distribution of Data
    • Use Visualizations to Analyze Data
    • Preprocess Data

    4 - Designing a Machine Learning Approach

    • Identify Machine Learning Concepts
    • Test a Hypothesis

    5 - Developing Classification Models

    • Train and Tune Classification Models
    • Evaluate Classification Models

    6 - Developing Regression Models

    • Train and Tune Regression Models
    • Evaluate Regression Models

    7 - Developing Clustering Models

    • Train and Tune Clustering Models
    • Evaluate Clustering Models

    8 - Finalizing a Data Science Project

    • Communicate Results to Stakeholders
    • Demonstrate Models in a Web App
    • Implement and Test Production Pipelines
     

    There are no open enrollment courses currently scheduled.
    Inquire about scheduling this course when it’s best for your team. Learn More about Private Group Training

     


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