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Science Workbook Age 9-11

This skills based write-in workbook for children aged 9-11 supports learning and skills practice through data handling and interpretation;

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Science Workbook Age 8-10

This skills based write-in workbook for children aged 8-10 supports learning and skills practice through data handling and interpretation;

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Handling Science Data Year 3

skills needed to understand and use such data must be developed throughout the primary years. This series is aimed at teachers of KS2/Primary 4-7;

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Handling Science Data Year 5

skills needed to understand and use such data must be developed throughout the primary years. This series is aimed at teachers of KS2/Primary 4-7;

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Handling Science Data Year 6

skills needed to understand and use such data must be developed throughout the primary years. This series is aimed at teachers of KS2/Primary 4-7;

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Developing Numeracy Handling Data Year 3 Activities for the Daily Maths Lesson

Intended for primary teachers, parents, trainee teachers, special needs teachers and supply teachers;...

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Advances in Geo-Spatial Information Science

revised papers presented at the joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science (Hong Kong;

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Year 6

Scholastic Data Handling is an extensive guide to integrating data handling methods into you primary teaching in an approachable cross;

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Year 2

Scholastic Data Handling is an extensive guide to integrating data handling methods into you primary teaching in an approachable cross;

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Year 1

Scholastic Data Handling is an extensive guide to integrating data handling methods into you primary teaching in an approachable cross;

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Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights

quarterly for 3 years, representatives from academia, industry, and government gathered with other experts from across the nation to discuss various;

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Activate 3 Student Book

whilst continuing to prepare for Key Stage 4. Activate 3 provides plenty of practise at handling data, extended writing and using maths - all;

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The 3-D Global Spatial Data Model

Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements;

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Enabling Real-Time Business Intelligence

the workshop. The topics cover all stages of the business intelligence cycle, including capturing of real-time data, handling of temporal or;

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Practical Data Science with Python 3

around examples, so you will grasp core concepts via case studies and Python 3 code. As data science projects gets continuously larger and more;

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Practical Data Science with Python 3

around examples, so you will grasp core concepts via case studies and Python 3 code. As data science projects gets continuously larger and more;

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Handling Data: Year 5

Intended for primary teachers, parents, trainee teachers, special needs teachers and supply teachers;...

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Business Analytics

foundational understanding of: 1. statistical, econometric, and machine learning techniques; 2. data handling capabilities; 3;

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Activate 3 Teacher Handbook

Stage 4. Activate 3 provides plenty of practise at handling data, using maths and extended writing - all essential skills for Key Stage 4;

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The 3D Global Spatial Data Model Principles and Applications, Second Edition

Traditional methods for handling spatial data are encumbered by the assumption of separate origins for horizontal and vertical measurements;

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Hands-On Data Science for Biologists Using Python

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;

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Hands-On Data Science for Biologists Using Python

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day;

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Data-Handling in Biomedical Science

Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The;

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Data-Handling in Biomedical Science

Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The;

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Responsible Science: Ensuring the Integrity of the Research Process

develop Volume I. Topics discussed include traditions of mentorship in science; data handling practices in the biological sciences; academic;

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Data Science: Theory and Applications

of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and;

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Data Handling and Analysis

cytopathology to transfusion science. Data Handling and Analysis is the most relevant and useful statistics and data analysis text for biomedical;

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