Data Analytics / Data Science

People Learning have teamed up with Learnquest (IBM Education Partner) to offer an extensive range of IT and ICT related courses.

People Learning also offer IBM Support Providing Business Partner for SPSS, Customer Analytics, Predictive Analytics, Data Mining and Modelling Solutions, Statistical Analysis, Data Collection, Survey Research and other Services.

Through the majority of these courses, an official IBM certification is offered.

 

Advanced Data Preparation Using IBM SPSS Modeler (v18.1.1)

Advanced Data Preparation Using IBM SPSS Modeler (v18.1.1) covers advanced topics to aid in the preparation of data for a successful data science project. You will learn how to use functions, deal with missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency. Read More

Advanced Predictive Modeling using IBM SPSS Modeler (V18)

This course presents advanced techniques to predict categorical and continuous targets. Before reviewing the modeling techniques, data preparation issues are addressed such as partitioning and detecting anomalies. Also, a method to reduce the number of fields to a number of core fields, referred to as components or factors, is presented. Advanced classification models, such as Decision List, Support Vector Machines and Bayes Net, are reviewed. Read More

Data Research with Confidence

Data Research with Confidence is an instructor led classroom course, with group interaction, that will provide the participants with an sound understanding of the requirements of quantitative data for use in a wide variety of applications, in business, health, education and research. Read More

Data science without a Ph.D. Using IBM SPSS Modeler (v18.1.1)

Data science without a Ph.D. Using IBM SPSS Modeler (v18.1.1) focuses on reviewing concepts of data science, where participants will learn the stages of a data science project. Topics include using automated tools to prepare data for analysis, build models, evaluate models, and deploy models. Read More

IBM SPSS Statistics Essentials (V25)

IBM SPSS Statistics Essentials (V25) is an instructor-led classroom course that guides participants through the fundamentals of using IBM SPSS Statistics for typical data analysis process. Read More

Introduction to IBM SPSS Modeler and Data Science (v18.1.1)

Introduction to IBM SPSS Modeler and Data Science provides the fundamentals of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. Read More

Introduction to IBM SPSS Text Analytics (v18)

This course teaches you how to analyze text data using IBM SPSS Modeler Text Analytics. You will be introduced to the complete set of steps involved in working with text data, from reading the text data to creating the final categories for additional analysis. Read More

Introduction to Python 3

This Introduction to Python 3 course begins with the basics of writing and running Python scripts then shifts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. Read More

Introduction to Statistical Analysis Using IBM SPSS Statistics (v24) SPVC

Introduction to Statistical Analysis Using IBM SPSS Statistics (v24) provides an application-oriented introduction to the statistical component of IBM® SPSS® Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, the assumptions made by each method, how to set up the analysis, as well as how to interpret the results. Read More

Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1)

Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1) gets you up and running with a set of procedures for analyzing time series data.  Learn how to forecast using a variety of models, including regression, exponential smoothing, and ARIMA, which take into account different combinations of trend and seasonality. Read More 

Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1.1)

Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1.1) provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and C&R Tree. They will also be introduced to traditional statistical models such as Linear Regression. Students are introduced to machine learning models, such as Neural Networks. Read More

Statistical Analysis Using IBM SPSS Statistics (V25) SPVC

Statistical Analysis Using IBM SPSS Statistics (V25) SPVC provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, as well as how to interpret the results. Read More

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