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Software Engineering for Data Scientists | OEM Learning Journey
€1.390,29 €1.149,00
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Software Engineering for Data Scientists | OEM Learning Journey
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Software Engineering for Data Scientists | OEM Learning Journey

Software Engineering for Data Scientists | OEM Learning Journey

€1.390,29 €1.149,00 Incl. tax Excl. tax
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Bridge the gap between data science and software engineering in this 90+ hour journey. You learn OOP, unit testing, Git, command line and Bash Scripting for robust, scalable data science code. With hands-on labs, mentor and e-books. Read more.

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Software Engineering for Data Scientists | OEM Learning Journey
163121657
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163121657
€1.390,29 €1.149,00
  • Officieel testcentrum
    Microsoft, Certiport en Pearson VUE
  • Bekroonde e-learning
    Met proefexamens en 24/7 hulp van Sanne
  • ISO 9001 & 27001 werkwijze
    2.500+ organisaties gingen u voor
  • Microsoft Certified Trainers
    Incompany op maat, met gratis nulmeting

Product description

Software Engineering for Data Scientists | OEM Learning Journey

Data Scientists with software engineering skills are in high demand. Writing reproducible, robust, scalable code is key to data science project success. This journey bridges the gap between data science and software engineering.

Demo Software Engineering for Data Scientists training

What will you learn?

  • Apply OOP, Functional Programming and Logging like a software engineer
  • Master the command line for more efficient developer work
  • Use Git and GitHub for version control and teamwork
  • Apply Unit Testing and Concurrent Programming for more robust code
  • Write Bash scripts for reusable workflow automation
  • Advanced Git: branching, merging and deployment

Learning path (90+ hours)

Track 1: Data Science Foundations — 7h courses, 22h labs, 25h IA

Clean, analyse and visualise data with Python, pandas and seaborn.

Track 2: Software Engineering in Python I — 4h labs, 4h IA

OOP, Functional Programming and Logging for production-ready code.

Track 3: Learn the Command Line — 5h labs, 4h IA

Navigate, access and modify files without a mouse.

Track 4: Learn Git: Introduction to Version Control — 1h courses, 4h labs, 2h IA

Git and GitHub for version control and collaborative coding.

Track 5: Software Engineering in Python II — 1h courses, 2h labs, 3h IA

Unit Testing, Concurrent Programming and Deployment.

Track 6: Learn Bash Scripting — 1h labs, 1h IA

Write reusable Bash scripts to automate repetitive tasks.

Track 7: Learn Git II: Git for Deployment — 2h courses, 4h labs, 2h IA

Branching, merging, pull requests and Markdown for team collaboration.

What is included?

  • 90+ hours: courses, labs and interactive exercises
  • Mentor guidance and assessments
  • E-books

Who is this for?

Data scientists who want to write production code and collaborate more effectively with engineering teams.

Get started

Contact us via our contact form or call +31 (0)36 760 10 19.

Specifications

Article number
163121657
SKU
163121657
Language
English
Qualifications of the Instructor
Certified
Course Format and Length
Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration
90 Hours
Assessments
The assessment tests your knowledge and application skills of the topics in the learning pathway. It is available 365 days after activation.
Online mentor
You will have 24/7 access to an online mentor for all your specific technical questions on the study topic. The online mentor is available 365 days after activation, depending on the chosen Learning Kit.
Online virtual labs
Receive 12 months of access to virtual labs corresponding to traditional course configuration. Active for 365 days after activation, availability varies by Training
Progress monitoring
Access to Material
365 days
Technical Requirements
Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance
Helpdesk and online knowledge base 24/7
Certification
Certificate of participation in PDF format
Price and costs
Course price at no extra cost
Cancellation and withdrawal
We assess this on a case-by-case basis
Award-winning e-learning
Tip!
Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.

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Twijfelt u welke training past?
Heeft u vragen over dit product of hulp nodig bij het bestellen? Onze AI-chatbot is 24/7 beschikbaar, of neem contact op via [email protected] of bel +31 36 760 1019
Twijfelt u welke training past?
Heeft u vragen over dit product of hulp nodig bij het bestellen? Onze AI-chatbot is 24/7 beschikbaar, of neem contact op via [email protected] of bel +31 36 760 1019

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Specifications

Article number
163121657
SKU
163121657
Language
English
Qualifications of the Instructor
Certified
Course Format and Length
Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration
90 Hours
Assessments
The assessment tests your knowledge and application skills of the topics in the learning pathway. It is available 365 days after activation.
Online mentor
You will have 24/7 access to an online mentor for all your specific technical questions on the study topic. The online mentor is available 365 days after activation, depending on the chosen Learning Kit.
Online virtual labs
Receive 12 months of access to virtual labs corresponding to traditional course configuration. Active for 365 days after activation, availability varies by Training
Progress monitoring
Access to Material
365 days
Technical Requirements
Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance
Helpdesk and online knowledge base 24/7
Certification
Certificate of participation in PDF format
Price and costs
Course price at no extra cost
Cancellation and withdrawal
We assess this on a case-by-case basis
Award-winning e-learning
Tip!
Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.
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