End to End Data Science Practicum with Knime

🎓 End to End Data Science Practicum with Knime: Applied Data Science Concepts and Techniques 🚀 GroupLayout: Prof. Dr. Şadi Evren Şeker Course Headline: Dive Deep into the World of Data Science with a Hands-On Approach using KNIME! 🛠️📊

Course Overview 🔍

Embark on a comprehensive journey through the realm of data science with our "End to End Data Science Practicum with Knime" course. This course is designed to take you from the conceptual foundation to the practical application of data science techniques, all within the powerful KNIME analytics platform. Let's decode the complexities of data science together!

Course Highlights ✨

• Project Management: Gain insights into managing data science projects effectively using the CRISP-DM methodology.
• Business Understanding: Discover the types of problems that drive business decisions and understand the underlying business processes.
• Data Understanding: Learn to explore your data, recognize issues, and visualize it to extract meaningful insights.
• Data Preprocessing: Master classical data preprocessing techniques, including handling noisy or dirty data, missing values, filtering, data integration, and transformation.
• Machine Learning: Dive into the world of algorithms with hands-on experience in classification, regression, unsupervised learning, and ensemble techniques within KNIME.
• Evaluation: Understand the evaluation metrics that matter for different types of machine learning problems and learn how to measure success using Knime.

Course Structure 📚

1. CRISP-DM Methodology - A top-down approach to data science projects.

   • Business Understanding: Aligning data science with business goals.
   • Data Understanding: Getting to grips with your data's story.
   • Data Preprocessing: Turning raw data into usable information.
   • Machine Learning: Building predictive and descriptive models.
   • Evaluation: Measuring the impact of your models on real-world problems.

2. Bonus Classes 🎁

   • Explore the intricacies of artificial neural networks and deep learning, with a focus on image processing problems.

What to Expect 🛠️

• Interactive Learning: Engage with real-world datasets and KNIME's intuitive interface.
• Practical Exercises: Apply what you learn through hands-on examples and projects.
• Expert Guidance: Learn from Prof. Dr. Şadi Evren Şeker, an expert in the field of data science.
• Community Support: Join a community of like-minded learners and professionals.

Important Notes 🚫❓

• Course Development: We are actively building this course and are committed to delivering high-quality content. New videos will be uploaded regularly, so stay tuned!
• Your Feedback Matters: As we evolve, your feedback will help us improve the course experience.

Enroll Now 📫

Ready to transform data into actionable insights and elevate your data science skills? Join us today and embark on a journey that will redefine the way you approach data problems!

Sign up now and let's turn complexity into clarity with KNIME! 🎓✨