Applied data analytics : principles and applications /

Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python /

The unsupervised learning workshop get started with unsupervised learning and simplify unorganized data to make predictions /

The 9 pitfalls of data science /

Mastering pandas : a complete guide to pandas, from installation to advanced data analysis techniques, 2nd Edition. /

Dealing with Data Pocket Primer.

Blockchain in data analytics /

Data analytics made easy : use machine learning and data storytelling in your work without writing... any code.

Data Analytics and What It Means to the Materials Community : Proceedings of a Workshop /

SQL for Data Analytics : Perform Fast and Efficient Data Analysis with the Power of SQL.

Data analysis and information processing /

Big data analytics with Java : big data analytics - massive, predictive, social and self-driving /

Big Data : una breve introduccion /

Semantic data mining : an ontology-based approach /

Data mining for business applications /

Contemporary perspectives in data mining.

Practical text mining and statistical analysis for non-structured text data applications /

Principles of data science : learn the techniques and math you need to start making sense of your data /

Python 3 and data analytics : pocket primer /

Recent advances in data mining of enterprise data : algorithms and applications /

Knowledge mining using intelligent agents /

Agent-based computing /

Active mining : new directions of data mining /

Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark /

Clinical data-mining in an allied health organisation : a real world experience /

Clinical data as the basic staple of health learning : creating and protecting a public good : workshop summary /

R data analysis projects : build end to end analytics systems to get deeper insights from your data /

R data mining : implement data mining techniques through practical use cases and real-world datasets /

Transforming healthcare with big data and AI /

Adaptive web sites : a knowledge extraction from web data approach /

Principles of data science : learn the techniques and math you need to start making sense of your data /

Data Science with Python : Combine Python with Machine Learning Principles to Discover Hidden Patterns in Raw Data.

Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation /

Mastering Predictive Analytics with Scikit-Learn and TensorFlow : Implement Machine Learning Techniques to Build Advanced Predictive Models Using Python.

Applied data analytics : principles and applications /

Reality mining : using big data to engineer a better world /

Nonlinear integrals and their applications in data mining /

Pandas 1.x cookbook : practical recipes for scientific computing, time series analysis and exploratory data analysis using Python /

Data wrangling with Python : creating actionable data from raw sources /

Biological data mining and its applications in healthcare /

Blockchain in data analytics /

New trends in qualitative and quantitative methods in libraries : selected papers presented at the 2nd Qualitative and Quantitative Methods in Libraries : proceedings of the International Conference on QQML2010, Chania, Crete, Greece, 25-28 May 2010 /

Mastering pandas : a complete guide to pandas, from installation to advanced data analysis techniques, 2nd Edition. /

Theory and credibility : integrating theoretical and empirical social science /

Applied data analytics : principles and applications /

Writing up quantitative research in the social and behavioral sciences /

Become a Python data analyst : perform exploratory data analysis and gain insight into scientific computing using Python /

Researching translation competence by PACTE group /

Learning Bayesian models with R : become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems /

Literary mathematics : quantitative theory for textual studies /

Seven rules for social research /

Data Analytics and What It Means to the Materials Community : Proceedings of a Workshop /

Data & Analytics for Instructional Designers /

Dealing with Data Pocket Primer.

Interpretive quantification : methodological explorations for critical and constructivist IR /

Calculated values : finance, politics, and the quantitative age /

The values in numbers : reading Japanese literature in a global information age /

Qualitative and quantitative methods in libraries : theory and applications : proceedings of the International Conference on QQML2009, Chania, Crete, Greece, 26-29 May 2009 /

The 9 pitfalls of data science /

Modern analysis of biological data : generalized linear models in R /

Data & Analytics for Instructional Designers /