Section 1

Question 1

End Users

Answer 1

An essential part of any project and their input and feedback play a role in ensuring the project’s success because the end users are the ones utilizing the product or service.
The role of end users can vary depending on the nature of the project, end users are vital to any project outcome.

Question 2

What are the key responsibilities of partners?

Answer 2

Defining the project’s scope, contributing expertise, providing resources, collaborating with other partners, meeting project deadlines, managing project risks, and communicating effectively.

Question 3

Partners

Answer 3

This can refer to individuals or organizations involved in the project’s development, objections, and execution. Are often external individuals or organizations and their responsibilities.

Question 4

What are the key responsibilities of researchers?

Answer 4

Developing substantial research questions, conducting lit. review, designing and executing research studies, collecting data, interpreting results, providing recommendations, and ensuring research integrity.

Question 5

Researchers

Answer 5

To conduct research to support the project’s objectives and provide evidence-based insights. Design and execute research studies, collect and analyze data, and interpret research findings to provide key insights and recommend to project stakeholders during a project cycle.

Question 6

Key responsibilities of a database administrator include:

Answer 6

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

Question 7

Database administrator:

Answer 7

Ensures that a project’s data is organized, secure and easily accessible. Their primary responsibility is to install and maintain the project’s database system; ensure data security, backup, recovery, and archiving of the database, and optimize system performance.

Question 8

Responsibilities of financial operations

Answer 8

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

Question 9

Financial operations

Answer 9

Primary responsibility is to ensure that the project’s financial resources are managed efficiently and effectively to achieve its objective. They also monitor and optimize the project’s financial resources to achieve goals.

Question 10

What are some of the responsibilities of the project manager

Answer 10

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

Question 11

What are the skills of a project manager

Answer 11

Leadership, communication, organization, problem-solving, and knowledge of project management methologies

Question 12

Project manager

Answer 12

Leads the team to plan, execute, and complete a project within specific time constraints, such as time, budget, and resources.
Responsible for ensuring that the project meets its goals and objectives while managing the risks and completing the project within the agreed scope

Question 13

What are a project sponsors responsibilities?

Answer 13

Defining the project’s business outcome, providing project funding, providing project oversight, providing project support, and approving project deliverables.

Question 14

Project sponsor

Answer 14

Also helps to ensure the projects success and is responsible for providing necessary support and resources to remove barriers that may prevent or hinder the success of a project

Question 15

Project sponsor

Answer 15

Plays a critical role in ensuring the project is aligned with the organizations purpose and delivers the expected business value and goals.

Question 16

Key stakeholders

Answer 16

Project sponsor, project manager, financial operations, database administrator, researchers, partners, end user(customers)
Is anyone who can be affected by any actions decisions, and outcomes from a data analytics project.

Question 17

Data scientists functions:

Answer 17

Data analysis, data visualization, data cleaning, A/B testing, machine learning, data storytelling, collaboration, experimentation, continuous improvement

Question 18

What are data scientists responsible for?

Answer 18

They are responsible for collecting and processing large volumes of data, analyzing the data to identify patterns and trends, and building models to make predictions and recommendations based on the data. They use programming languages like R, and SQL to process and analyze the data.

Question 19

Data scientist

Answer 19

Is a professional that uses statistical machine learning and programming skills to analyze and interpret complex datasets and to develop and deploy predictive models and algorithms that can be used to solve business problems.

Question 20

What are data engineers responsible for

Answer 20

Some are responsible for designing, and implementing data security and privacy measures, monitoring system performance and troubleshooting issues as they arise

Question 21

Data engineers

Answer 21

They are responsible for maintaining data pipelines, integrating data from various sources, and ensuring that data is accurate, consistent, and accessible to analysts and other stakeholders.

Question 22

Data engineer

Answer 22

Designs, builds and manages infrastructure that supports data processing, storage and retrieval.

Question 23

Machine learning engineer

Answer 23

Specialize in developing, designing, and deploying AI models to solve complex problems. They oversee creating AI algorithms to make predictions that define machine learning

Question 24

Decision scientist

Answer 24

An expert in developing decision models, focuses on creating and applying mathematical and statistical models to optimize decision-making processes and outcomes. They use scientific and mathematical techniques to understand problems, develop solutions to complex issues, and understand complex systems.

Question 25

Business intelligence analyst

Answer 25

One primary function of a BI analyst is locating patterns or other trends that correlate to potential areas of improvement.
Other functions include: Sharing and presenting data, once a BI analyst collects data, they need to share these findings, this includes utilizing graphs and charts and creating reports

Question 26

What are the responsibilities of a data analyst in a data analytics project?

Answer 26

Designing and implementing valid analytical methods, ensuring that the overall objectives of the analytics projects are met.

Question 27

Exploratory analytics

Answer 27

Involves exploring and analyzing data to identify potential trends, patterns, and relationships. It is often used when there is no clear objective or question to answer, and the goal is to uncover new insights or opportunities

Question 28

Precriptive analytics

Answer 28

This type of analytics recommends actions that can be taken to optimize or improve a situation. Considers data analysis and modeling to provide specific recommendations on what to do next.
Answers questions such as “What should we do?” and “How can we improve the outcome?”

Question 29

Predictive analytics

Answer 29

Using historical data to forecast outcomes, helps to answer questions such as “What is likely to happen in the future?” and “How can we prepare for it?”

Question 30

Diagnostic analytics

Answer 30

Analyzes past data to identify the root causes of specific outcomes or events. Answers question such as “Why did an event happen?” and “What caused it to happen?”

Question 31

Descriptive analytics

Answer 31

This type of analytics focuses on summarizing and describing historical data to provide insights into past trends and patterns. Helps to answer questions such as “What happened?” and “How many times did it happen?”

Question 32

Identify data analytics projects:

Answer 32

1. Descriptive analytics
2. Diagnostic analytics
3. Predictive analytics
4. Prescriptive analytics
5. Exploratory analytics

Question 33

Data scientists

Answer 33

Design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.

Question 34

Data analysts

Answer 34

Examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions

Question 35

Difference between data science and data analytics

Answer 35

Data science often involves using outcomes, while data analytics tends to focus more on analyzing past data to inform decisions in the present

Question 36

Data science

Answer 36

A field of study that involves using computational and statistical techniques to extract insights and knowledge from data

Question 37

Data analytics

Answer 37

A coming together to solve a business problem through the creative use of data and statistical modeling to tell a compelling story that rives strategic action and results in business value