Data Preparation
Master the art of effective data preparation under expert guidance. Enroll in our comprehensive training program tailored specifically for this course to gain a thorough skill set in handling large datasets efficiently while ensuring high-quality and consistent data.
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Corporate Pricing
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Training Provider Pricing
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Features
Subsidies
What you'll learn
- Learn strategies for handling incomplete or missing data points
- Explore efficient approaches to scale data preparation processes
- Identify and address errors, outliers, and inconsistencies in noisy data
- Implement feedback loops and utilize up-to-date technology for enhanced productivity
- Recognize the impact of poor data quality on revenue, reputation, and competitiveness
- Monitor and address data drift to sustain model performance
- Measure improvements through error rate reduction, cost savings, performance appraisals, and participation metrics
- Understand best practices for validating and maintaining accurate data
Why should you attend?
In this course, participants will delve into the intricacies of data preparation, focusing on various aspects that ensure high-quality and reliable data for analysis. The journey begins with understanding common data quality issues such as missing, noisy, and inaccurate data. Participants will learn strategies to handle incomplete data points, techniques to identify and address errors, outliers, and inconsistencies, and best practices for validating and maintaining data accuracy. The course also covers scalability in data preparation processes. As datasets grow larger, the challenges associated with scaling these processes become more pronounced. Efficient approaches to handle and process extensive data volumes will be explored to equip participants with the necessary skills to manage large-scale data preparation effectively. Maintaining data consistency over time is crucial for sustained model performance. This course addresses monitoring and addressing data drift, ensuring that models continue to perform well as underlying data changes. Strategies for maintaining consistent data quality are discussed in detail. Participants will gain insights into the impact of poor data quality on a company’s bottom line. Topics include lost revenue due to inaccurate pricing or inventory management, reputation damage from eroded customer trust, and competitive disadvantages arising from untimely or incorrect data. The course emphasizes additional job performance enhancements through feedback loops, up-to-date technology and tools, and optimized task delegation. These elements help employees focus on core responsibilities while improving overall productivity. Finally, expected improvements from training are highlighted. Participants will understand compliance with industry regulations, enhance time and resource efficiency, and increase customer satisfaction through improved service skills. Measurement of these improvements is also covered by assessing error rates, cost savings, performance appraisals, and participation metrics.
Course Syllabus
Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Ratings and Reviews
Instructor
Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.
Instructor Reviews
Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative.
Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges.
The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion.
FAQs
Courses you may like
Why should you attend?
In this course, participants will delve into the intricacies of data preparation, focusing on various aspects that ensure high-quality and reliable data for analysis. The journey begins with understanding common data quality issues such as missing, noisy, and inaccurate data. Participants will learn strategies to handle incomplete data points, techniques to identify and address errors, outliers, and inconsistencies, and best practices for validating and maintaining data accuracy. The course also covers scalability in data preparation processes. As datasets grow larger, the challenges associated with scaling these processes become more pronounced. Efficient approaches to handle and process extensive data volumes will be explored to equip participants with the necessary skills to manage large-scale data preparation effectively. Maintaining data consistency over time is crucial for sustained model performance. This course addresses monitoring and addressing data drift, ensuring that models continue to perform well as underlying data changes. Strategies for maintaining consistent data quality are discussed in detail. Participants will gain insights into the impact of poor data quality on a company’s bottom line. Topics include lost revenue due to inaccurate pricing or inventory management, reputation damage from eroded customer trust, and competitive disadvantages arising from untimely or incorrect data. The course emphasizes additional job performance enhancements through feedback loops, up-to-date technology and tools, and optimized task delegation. These elements help employees focus on core responsibilities while improving overall productivity. Finally, expected improvements from training are highlighted. Participants will understand compliance with industry regulations, enhance time and resource efficiency, and increase customer satisfaction through improved service skills. Measurement of these improvements is also covered by assessing error rates, cost savings, performance appraisals, and participation metrics.
What you'll learn
- Learn strategies for handling incomplete or missing data points
- Explore efficient approaches to scale data preparation processes
- Identify and address errors, outliers, and inconsistencies in noisy data
- Implement feedback loops and utilize up-to-date technology for enhanced productivity
- Recognize the impact of poor data quality on revenue, reputation, and competitiveness
- Monitor and address data drift to sustain model performance
- Measure improvements through error rate reduction, cost savings, performance appraisals, and participation metrics
- Understand best practices for validating and maintaining accurate data
Course Syllabus
Day 1
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Instructor Reviews
Tasmeea was an excellent teacher. Very pleasant, willing to assist and answer concerns, and continuously asked how she could assist more. She made the course enjoyable as well as informative.
Thank you so much for your invaluable guidance. I really enjoyed it and appreciated how much fun you made it! I feel much more equipped to cope with difficult challenges.
The training was both fascinating and beneficial. Many members of the staff commented on how useful it was. Tasmeea delivers the topic with authority, wit, and passion.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructor
Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.
FAQs
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