Python (Data Processing)

On this course you will start Python programming language from the beginning, but it is of great help to have basic programming concepts and knowledge. With the right instructor training programming does not need to be difficult, programming is structured and logic. This training is 100% in practice “Hands On”. We learn by doing.

Python is a general-purpose programming language gaining a lot of ground rapidly in the last few years. Python is a popular language for data science and machine learning. Companies process data from different sources to gain more insights to their data. In this course you will learn data processing from different sources and ways to store and manipulate data, and helpful data science

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Course Details

  • 🕒 Schedule: Twice a week, evenings only

  • ⏱️ Duration: 45 hours over 9 weeks

  • 💶 Price: €300

  • 👨‍🏫 Format: Instructor-led, hands-on training

  • 📦 Includes: Practical exercises, course materials, and expert feedback

Course Requirements

  • 📈 Level: Intermediate

  • 🧠 Prerequisites: Basic knowledge of Microsoft Excel is required

  • 👨‍🎓 Recommended for: Students or professionals with prior experience in data entry and spreadsheets.

About the course

On this course you will start Python programming language from the beginning, but it is of great help to have basic programming concepts and knowledge. With the right instructor training programming does not need to be difficult, programming is structured and logic. This training is 100% in practice “Hands On”. We learn by doing.

Python is a general-purpose programming language gaining a lot of ground rapidly in the last few years. Python is a popular language for data science and machine learning. Companies process data from different sources to gain more insights to their data. In this course you will learn data processing from different sources and ways to store and manipulate data, and helpful data science

Chapter 1 : An Introduction to the Basics

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45min.

Chapter 2 : Information Architecture

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1hr. 10min.

Chapter 3 : Responsive Design

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2hrs. 27min.

Chapter 4 : Interaction and Motion

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2hrs 1min.

Chapter 5 : Designing for Machine Learning

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1hr. 35min.

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Outcomes

Collecting data from different sources like MS Excel, databases etc, cleaning, transforming, modeling and visualizing the data on inteligent dashboards.

 

Prepare for a career as a Data Scientist

  • Receive professional-level training from CollegeToCareer instructors.
  • Demonstrate your proficiency in portfolio-ready projects
  • Earn an employer-recognized certificate.

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