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Certified Data Science Practitioner (CDSP)

An Intensive 5-Day Training Course

Certified Data Science Practitioner (CDSP)

Scheduled Dates

13 - 17 May 2024 London - UK $5,950
12 - 16 Aug 2024 Amsterdam - The Netherlands $5,950
18 - 22 Nov 2024 Dubai - UAE $5,950
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Why Choose this Training Course?

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 PetroKnowledge Certified Data Science Practitioner training course will enable you to bring value to the business by putting data science concepts into practice. This training course includes hands on activities for each topic area.

What are the Goals?

In this PetroKnowledge Certified Data Science Practitioner training course, you will implement data science techniques in order to address business issues.

You will:

  • 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 is this Training Course for?

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

However, there is not necessarily a single organizational role that this training course targets. A prospective participant might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data driven situations.

Ultimately, the target participant is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.

This Certified Data Science Practitioner training course is also designed to assist participants in preparing for the CertNexus® Certified Data Science Practitioner (CDSP) (Exam DSP-110) certification.

Daily Agenda

Day One: Addressing Business Issues with Data Science

  • Initiate a data science project
  • Formulate a data science problem

Extracting, Transforming, and Loading Data

  • Extract data
  • Transform data
  • Load data

Day Two: Analyzing Data

  • Examine data
  • Explore the underlying distribution of data
  • Use visualizations to analyze data
  • Preprocess data

Day Three: Designing a Machine Learning Approach

  • Identify machine learning concepts
  • Test a hypothesis

Developing Classification Models

  • Train and tune classification models
  • Evaluate classification models

Day Four: Developing Regression Models

  • Train and tune regression models
  • Evaluate regression models

Developing Clustering Models

  • Train and tune clustering models
  • Evaluate clustering models

Day Five: Finalizing a Data Science Project

  • Communicate results to stakeholders
  • Demonstrate models in a web app
  • Implement and test production pipelines

Certificate

  • On successful completion of this training course, a PetroKnowledge Certificate will be awarded to the delegates

In Association With

GLOMACS Training

Our collaboration with GLOMACS aims to provide the best training services and benefits for our valued clients

Visit Website ›

Koukash Consultancy

Our collaboration with Koukash Consultancy aims to provide the best training services and benefits for our valued clients.

Visit Website ›

Frequently Asked Questions

How can I register for a training course?

  • To register online through our website, please click “Enroll Now” on the course page, complete and submit the form. A confirmation e-mail and instructions will be sent to the participant’s e-mail.
  • You may also get in touch with our Registration Team on
    +971 50 981 7386 | +971 2 557 7389 or send an email to reg@petroknowledge.com

When and how do I arrange payments?

  • Payments can be made in USD or UAE local currency AED (Arab Emirates Dirhams) either by Bank Transfer or by Credit Card. Our Bank Account details will be provided on the invoice.
  • Course fees are payable upon booking unless a valid, authorized Purchase Order is provided and accepted.
  • Invoices will be sent via email/courier to the ID/name and address provided.
  • The course fee shall be settled prior to course start date. Corporate payments with existing payment policy shall be relayed to us in advance.

When should I expect to receive confirmation of registration?

Upon successful registration online, enrolment on the respective training course will be confirmed by Registration Team by e-mail along with the invoice and joining instruction.

Is there a discount for more than one registrant/course?

For corporate fees and group registration, please send your query to info@petroknowledge.com.

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© 2024. Material published by PetroKnowledge shown here is copyrighted.

All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.


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