INTRODUCTION to Course 1 End-Of-Course Project
You will end this course with a project that lets you take data skills and knowledge learned in Course 1 into a real-world workplace scenario and practice solving a business problem.
Learning Objectives:
- Explain key findings for the audience being addressed.
- Draft a project plan for a data science project, including drafting research questions, specification, and action items for each phase of the project.
- The PACE workflow must be appropriately used to facilitate the steps within a data science project.
PRACTICE QUIZ: ACTIVITY: CREATE YOUR COURSE 1 AUTOMATIDATA PROJECT
1. Did you complete this activity?
- Yes (CORRECT)
- No
Correct: Thank you very much! A project proposal is really an elaborate plan which specifies each necessary step to meet the goals of a project and serves as a precious resource for the team during the entire project. This keeps everyone on the same page and ensures that the project stays on track.
PRACTICE QUIZ: CREATE YOUR COURSE 1 TIKTOK PROJECT
1. Did you complete this activity?
- Yes (CORRECT)
- No
Correct: Welcome to the project. You know what? A project proposal is a tactical plan that explicates the main aims and steps of achieving the desired outcomes. A good reference guide for the team throughout the life span of their project is found here. All right, now on to your next course item to compare your work with finished exemplars and to tighten your understanding of writing a solid project proposal!
PRACTICE QUIZ: CREATE YOUR COURSE 1 WAZE PROJECT
1. Did you complete this activity?
- Yes (CORRECT)
- No
Correct: Thank you for finishing this activity! A project proposal outlines the steps needed to accomplish a project goal and result. It is meant to be used by team members throughout the life of the project. Go on to the next course item for comparison with your work and completed examples.
Data analysts hold several roles within their works. In this part of the course, you learn about some of these roles and the fundamental skills used by analysts. You will also learn analytical thinking as well as its relevance to data-driven decision making.
Learning Objectives
- Define the terms data and decision-driven. Clarify the examples What are the most important attributes of analytical thinking?
- Self-assessment of analytical thinking should be accompanied by examples of the situations in which analytical thinking has been applied to carry out Individual tasks.
- Understand the five fundamental analytical abilities of a data analyst.
- How analytical thinking leads to better decision-making.
- How to question better going forward.
QUIZ: ASSESS YOUR COURSE 1 END-OF-COURSE PROJECT
1. The Course 1 PACE Strategy Document includes responses for all the questions provided under the Planning Stage section.
- Yes (CORRECT)
- No
Correct!
2. The task “Establish structure for project workflow (PACE)” is paired with the “Plan” stage of PACE.
- Yes (CORRECT)
- No
Correct!
3. The task “Write a project proposal” is paired with the “Plan” stage of PACE.
- Yes (CORRECT)
- No
Correct!
4. The task “Compile summary information about the data” is paired with the “Analyze” stage of PACE.
- Yes (CORRECT)
- No
Correct!
5. The task “Begin exploring the data” is paired with the “Analyze” stage of PACE.
- Yes (CORRECT)
- No
Correct!
6. The task “Data exploration and cleaning” is paired with the “Plan” and “Analyze” stages of PACE.
- Yes (CORRECT)
- No
Correct!
7. The task “Visualization building” is paired with the “Analyze” and “Construct” stages of PACE.
- Yes (CORRECT)
- No
Correct!
8. The task “Compute descriptive statistics” is paired with the “Analyze” stage of PACE.
- Yes (CORRECT)
- No
Correct!
9. The task “Conduct hypothesis testing” is paired with the “Analyze” and “Construct” stages of PACE.
- Yes (CORRECT)
- No
Correct!
10. The task “Build a regression model” is paired with the “Analyze” and “Construct” stages of PACE.
- Yes (CORRECT)
- No
Correct!
11. The task “Evaluate the model” is paired with the “Execute” stage of PACE.
- Yes (CORRECT)
- No
Correct!
12. If applicable to the project scenario, the task “Build a machine learning model” is paired with the “Construct” stage of PACE.
- Yes (CORRECT)
- No
Correct!
13. The task “Communicate final insights with stakeholders” is paired with the “Execute” stage of PACE.
- Yes (CORRECT)
- No
Correct!
14. All open response project task questions were answered.
- Yes (CORRECT)
- No
Correct!