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SQL for Data Science Capstone Project Coursera

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
1 months
Duration
1 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

This SQL for Data Science Capstone Project course offered by Coursera in partnership with UC Davis is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.

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

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

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

Funding

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