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SQL for Data Science Capstone Project Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
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

Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. 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
    • 11 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

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Audit: free access to course materials except graded items
  • Certificate: a trusted way to showcase your skills
  • A year of unlimited access with Coursera Plus $199

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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