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Business Analysis Courses

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WD515GUA
IBM
Create, Secure, and Publish APIs with IBM API Connect 10
Classroom Live, virtual classroom live
5 Days, 40 Acad. Hours
0A0V8GUA
IBM
Predictive Modeling for Continuous Targets Using IBM SPSS Modeler (v18.1.1)
Classroom Live, virtual classroom live
1 Days, 8 Acad. Hours
PL-300T00
Microsoft
Microsoft Power BI Data Analyst
New
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
Classroom Live, virtual classroom live
3 Days, 24 Acad. Hours
0A008UA
IBM
Introduction to IBM SPSS Modeler and Data Science (v18.1.1)
This course provides the fundamentals of using IBM SPSS Modeler and introduces the participant to data science.
Classroom Live, virtual classroom live
2 Days, 16 Acad. Hours
B6098UA
IBM
IBM Cognos Analytics - Author Active Reports (v11.0.10)
Classroom Live, virtual classroom live
1 Days, 8 Acad. Hours
0A018UA
IBM
Data science without a Ph.D. Using IBM SPSS Modeler (v18.1.1)
This course focuses on reviewing concepts of data science, where participants will learn the stages of a data science project.
Classroom Live, virtual classroom live
1 Days, 8 Acad. Hours
B6258UA
IBM
IBM Cognos Analytics: Author Reports Fundamentals (V11.1.x)
Classroom Live, virtual classroom live
3 Days, 24 Acad. Hours
0A028UA
IBM
Introduction to Time Series Analysis Using IBM SPSS Modeler (v18.1.1)
This course 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.
Classroom Live, virtual classroom live
1 Days, 8 Acad. Hours
B6061UA
IBM
IBM Cognos Analytics - Author Reports with Multidimensional Data (V11.0)
Classroom Live, virtual classroom live
2 Days, 16 Acad. Hours
0A038UA
IBM
Advanced Predictive Modeling Using IBM SPSS Modeler (v18.1.1)
This course presents advanced models to predict categorical and continuous targets. Before reviewing the models, data preparation issues are addressed such as partitioning, detecting anomalies, and balancing data.
Classroom Live, virtual classroom live
1 Days, 8 Acad. Hours
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