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Databases for Data Scientists Coursera

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

About

All about Databases for Data Scientists. Learn to design and create efficient and effective relational databases, fill them with data, and work with them using SQL with this Databases for Data Scientists course offered by Coursera in partnership with University of Colorado Boulder.

Overview

Whether you are a beginning programmer with an interest in Data Science, a data scientist working closely with content experts, or a software developer seeking to learn about the database layer of the stack this Databases for Data Scientists course offered by Coursera in partnership with University of Colorado Boulder is for you!

Key facts

  • This course focuses on the relational database which is the most widely used type of database.  Relational databases have dominated the database software marketplace for nearly four decades and form a core, foundational part of software development. 
  • In this specialization you will learn about database design, database software fundamentals, and how to use the Structured Query Language (SQL) to work with databases. The specialization, will conclude with an overview of future trends in databases, including non-relational databases (NoSQL) and Big Data. 
  • Upon completion of this specialization you will be well prepared to design and create efficient and effective relational databases, fill them with data, and work with them using SQL.

Applied Learning Project

  • In Relational Database Design and The Structured Query Language (SQL), you will perform coding exercises, reflect on what you learned, and describe the challenges you experienced. 
  • Then, in Advanced Topics and Future Trends in Database Technologies, you will map out a plan for a big data project and investigate the benefits and drawbacks of non-relational databases.

What You Will Learn:

  • Design effective, efficient databases through normalization and data modeling
  • Knowledge about database operations, data warehouse, big data, and NoSQL
  • Develop expertise in programming with the Structured Query Language (“SQL”)

Skills You Will Gain:

  • Databases
  • Data Management
  • SQL
  • Critical Thinking
  • Problem Solving
  • Data Analysis
  • Data Structures
  • Supply Chain and Logistics
  • Big Data

Programme Structure

Courses include:

  • Relational Database Design
  • The Structured Query Language (SQL)
  • Advanced Topics and Future Trends in Database Technologies

Key information

Duration

  • Part-time
    • 2 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

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

Beginner level

  • No particular background is required - only an interest in learning how to build and query databases!

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

  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

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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