project management and data analysis phases

What are the primary responsibilities of a project sponsor?

Provides project funding, oversight, support, and approves deliverables.

What are the key roles of a project manager?

Planning, resource management, risk management, communication, team management, quality assurance, and monitoring + controlling.

What financial operations are involved in project management?

Budgeting, financial reporting, cost control, procurement, and risk management.

What are the main responsibilities of a Database Administrator (DBA)?

Database installation and maintenance, security, recovery, backup, archiving, and performance.

What tasks do researchers perform in a project?

Collecting data, developing research questions, conducting literature reviews, designing studies, interpreting results, providing recommendations, and ensuring research integrity.

What are the roles of partners in a project?

Defining project scope, contributing expertise, providing resources, collaborating, meeting deadlines, managing risk, and effective communication.

What is the role of end users in a project?

Provide features and requirements, testing and feedback, participate in design decisions, and provide user documentation.

Who are stakeholders in a project?

Business stakeholders, marketing, customer care, product, and engineering stakeholders who oversee business decisions.

What are the six phases of a data analysis project?

1. Discovery 2. Data Preparation 3. Model Planning 4. Model Execution 5. Communicate Results 6. Operationalize.

What is involved in the discovery phase of a data analysis project?

Assessing resources, framing the problem, identifying stakeholders, interviewing the analytics sponsor, developing initial hypotheses, and identifying potential data sources.

What tasks are performed during the data preparation phase?

Gathering data, cleaning data, building a sandbox, extracting, loading, transforming data, and understanding the data.

What is model planning in data analysis?

Assessing the structure of datasets, ensuring analytical techniques are sound, and determining whether to use a single model or a series of models.

What is stratified sampling or oversampling?

Balancing a dataset by taking equal numbers of records from different values.

What are the three sets of data used for modeling?

1. Training set - used to build the initial model 2. Validation set - used to adjust the initial model 3. Test set - used to gauge effectiveness on unseen data.

What are candidate models in data analysis?

Potential models for clustering, classifying, or finding relationships in data.

What is dataset structure?

The arrangement or organization of data used in the analysis process.

What is involved in model building?

Overlaps with model planning, using small sets of data to test models, recording logic and results throughout the process.

What questions should be asked during model evaluation?

Does the model appear valid and accurate? Does the output make sense? Are parameter values reasonable? Is the model sufficiently accurate? Does it avoid intolerable mistakes? Are more data inputs needed?

What are common tools used in data analysis?

SAS, SPSS, MATLAB, ALPINE, MINER, STATISTICA, MATHMATICA (commercial); R, PL/R, OCTAVE, WEKA, PYTHON, SQL, MADlib (open source).