Data Scientist

Data Scientist

Representative Workflow for Data Scientist

1

start jupyter notebook

Start Jupyter Notebook from TCUP portal

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2

create dataframe

Create Tabular data structure called Dataframes using PyTCUP on Sensor Observation Service data

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3

visually analyze

Plot and visualize the data using standard Python tools such as Matplotlib

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6

deploy analytics model

When satisfied, deploy the Notebook as a TCUP Task using PyTCUP

5

test analytics model

Test your Analytics Model on Sensor Observation Data by using PyTCUP

4

build analytics model

Build python analytics script according to your requirement

4

build analytics model

Build python analytics script according to your requirement

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5

test analytics model

Test your Analytics Model on Sensor Observation Data by using PyTCUP

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6

deploy analytics model

When satisfied, deploy the Notebook as a TCUP Task using PyTCUP

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TCUP feature supported for Data Scientist

Notebook Service

The TCUP Notebook is a powerful, interactive web-based tool for data scientist to explore and experiment with TCUP data and develop algorithms using TCUP data sources and platform resources. Using PyTCUP library, TCUP Notebook lets users to write python based code, execute in a distributed cluster and deploy tested algorithms using Task Services. TCUP Notebook allows users to create and share documents containing live code, visualization, explanatory text and equations.

TCUP Analytics Library

The TCUP Analytics Library modules provide a collection of Descriptive, Diagnostic, Predictive, Prognostic analytics algorithms.

TCUP Data Explorer

TCUP Data Explorer (TDE) provides a powerful search engine, filtering, grouping and data visualization, charting and reporting facility for stored sensor data.