Data Mining with Python Training

Data Mining with Python

Harness the power of Python for advanced data mining techniques in our intensive course.

Ideal for data analysts and scientists, delve into areas like association rule mining, sentiment analysis, and data anomaly detection, employing hands-on exercises and interactive discussions.

What will you learn?

Unlock Advanced Data Mining Techniques with Python: Over the course of this 2-day comprehensive training, attendees will:

Deepen Their Data Mining Understanding: Explore pivotal data mining areas from association rule mining to automatic text summarization.
Hands-on Approach: Through interactive lectures, discussions, and a live-lab environment, immerse in real-world problem-solving strategies and interpret their results effectively.
Explore Text Analysis: Dive deep into sentiment analysis, named entity recognition, and gain proficiency in text summarization.
Combat Data Anomalies: Develop skills to detect and address data anomalies, ensuring data integrity.By the conclusion of this training, participants will be well-equipped with advanced techniques in data mining using Python, enabling them to handle complex data analytics challenges.

Requirements:

Python Proficiency: A good grasp of Python programming.
Library Familiarity: An understanding of Python libraries.

Course Outline*:

*We know each team has their own needs and specifications. That is why we can modify the training outline per need.

Introduction to Data Mining in Python

Brief on Data Mining Concepts and Significance

Exploring Data Mining Techniques

Delving into Association Rules and their Importance
Strategies for Entity Matching
Techniques for Network Analysis

Advanced Text Analysis

Sentiment Analysis: Methods and Use Cases
Recognizing Named Entities in Text Data
Techniques for Automatic Text Summarization
Generating and Understanding Topic Models

Data Anomaly Detection

Strategies and Tools to Detect Anomalies
Ensuring Data Integrity and Reliability

Best Practices in Data Mining

Tips, Tricks, and Guidelines for Effective Data Mining

Conclusion

Recap and Summation of Key Learnings
Encouraging Forward Learning and Exploration

Hands-on learning with expert instructors at your location for organizations.

Level:

Intermediate

Duration:

Hours (days:

)

Training customized to your needs

Immersive hands-on experience in a dedicated setting

*Price can range depending on number of participants, change of outline, location etc.

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Master new skills guided by experienced instructors from anywhere.

Level:

Intermediate

Duration:

Hours (days:

)

Training customized to your needs

Reduced training costs

*Price can range depending on number of participants, change of outline, location etc.

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You can participate in a Public Course with people from other organisations.

/per trainee

Thanks for the numbers, they could be going to your emails. But they're going to mine... Thanks ;D

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Level:

Intermediate

Duration:

Hours (days:

)

Fits ideally for individuals and small groups

Networking opportunities with fellow participants.

*Price can range depending on number of participants, change of outline, location etc.

Get Quote

Data Mining with Python

What will you learn?

Requirements:

Course Outline*:

Introduction to Data Mining in Python

Exploring Data Mining Techniques

Advanced Text Analysis

Data Anomaly Detection

Best Practices in Data Mining

Conclusion

Get Quote for:

Data Mining with Python

Start your training experience here!