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Data Science and Analytics Certification Program MODULE H: Python for Data Science and Analytics

Schedule: October 14-16, 2025, 8:00 AM – 5:00 PM, 3 Days, F2F Course Description: This course will be your guide to learning how to use the power of Python programming to analyze data, create beautiful visualizations, and utilize powerful predictive analytics algorithms. At the end of the training, the participant should be confident enough to produce any type of data analytics with Python. Course Outline: Introduction to Python Programming Python Data Processing with Pandas Python Statements Python Graphics Python Advanced Statements GUI Programming Course Investment: Php 15,000.00 per participant Registration: Click here to register Need More Information? If you have any inquiries or require further assistance, our dedicated team is here to help: Email: For personalized guidance and information, reach out to us at nec.training@up.edu.ph. Phone: Speak directly with our team members by dialing (02) 8981-8500 local 3004 or 3048. Facebook: For updates, news, and insights, visit our official Facebook page at facebook.com/UPNECTraining. Training Programs | Training Calendar | Payment Guidelines | e-TrainENGG

Data Science and Analytics Certification Program Module D: Predictive Analytics

Schedule: June 17-19, 2025, 8:00 AM - 5:00 PM, 3 Days, F2F Course Description: This course surveys the different algorithms for data analytics specifically: classification, regression, feature selection, association, and clustering algorithms for data analytics. You will learn concepts such as problem types, data structure requirements, over and under fitting, and how to evaluate a data analytics model. Advantages and disadvantages of methods are also discussed. Prerequisite Concepts: College Level Statistics Course Outline: Classification Methodologies Frequency Table, Similarity, Perceptron-Based, Ensembles, Model Evaluation Regression Methodologies Multiple Linear Regression, Model Evaluation, Variable Selection and Model-Building, Indicator Variables, Logistic Regression Unsupervised Learning Methodologies Market Basket Analysis, Clustering, Text Mining, Social Media Sentiment Analysis Course Investment: Php 15,000.00 per participant Registration: Click here to register Need More Information? If you have any inquiries or require further assistance, our dedicated team is here to help: Email: For personalized guidance and information, reach out to us at nec.training@up.edu.ph. Phone: Speak directly with our team members by dialing (02) 8981-8500 local 3004 or 3048. Facebook: For updates, news, and insights, visit our official Facebook page at facebook.com/UPNECTraining. Training Programs | Training Calendar | Payment Guidelines | e-TrainENGG

Data Science and Analytics Certification Program Module C: Descriptive Analytics

Schedule: May 13-15, 2025, 8:00 AM - 5:00 PM, 3 Days, F2F Course Description: This course aims to provide tools for processing raw data into formats that can facilitate drawing of summarizing statistics. The statistics drawn can accurately and adequately describe historical information gathered, which can be easily interpreted. Visualization techniques complemented and/or generated from data processing shall be presented to facilitate ease of data interpretation. All tools and techniques presented in the course shall enable the participants to learn how to properly interpret past behaviors from recorded data and understand how to they may influence outcomes in the future. Prerequisite Concepts: None Course Outline: Probability and Random Numbers Descriptive Statistics Data Manipulation Inferential Statistics R Graphics Deploying R Dashboards Course Investment: Php 15,000.00 per participant Registration: Click here to register Need More Information? If you have any inquiries or require further assistance, our dedicated team is here to help: Email: For personalized guidance and information, reach out to us at nec.training@up.edu.ph. Phone: Speak directly with our team members by dialing (02) 8981-8500 local 3004 or 3048. Facebook: For updates, news, and insights, visit our official Facebook page at facebook.com/UPNECTraining. Training Programs :: Training Calendar :: Payment Guidelines :: e-TrainENGG