Overview
Whether you have successfully completed the other courses in the Learn SQL Basics for Data Science Specialization or are taking just this SQL for Data Science Capstone Project course offered by Coursera in partnership with UC Davis, this project is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data.
You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this specialization.
You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis.
You will put all of your work together in the form of a presentation where you will tell the story of your findings. Along the way, you will receive feedback through the peer-review process. This community of fellow learners will provide additional input to help you refine your approach to data analysis with SQL and present your findings to clients and management.
What you'll learn
Develop a project proposal and select your data
Perform descriptive statistics as part of your exploratory analysis
Develop metrics and perform advanced techniques in SQL
Present your findings and make recommendations
Programme Structure
Course structure:
- Importance of Understanding Your Data
- Stats in SQL/Sheets
- Pandas Teach on Stats
- Visualization with raw graphics.io
- Impact of Findings on Hypotheses
- Statistics Refresher
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 459 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- Some related experience required
- This course is aimed at learners with basic SQL knowledge who want to apply their skills in a practical project by analyzing data, developing insights, and presenting data‑driven recommendations.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription