SQL

Job Outlook for Data Science Careers

  • man at computer

    It’s no secret that the information technology sector is outpacing nearly every other industry. In fact, demand for IT jobs will grow over 12% over the next decade, according to the US Bureau of Labor Statistics (BLS).

  • Big data jobs, such as data analyst, are “projected to far outpace the average growth rate for all occupations,” according to the BLS.
  • The BLS found that the median annual salary for computer and data science jobs was over $88,000. Within this broader category, database administrators averaged $93,000 annually, while software developers averaged an annual salary of $107,000.

SQL Series

Gain a solid working knowledge of the most powerful and widely used database programming language in the world. This Structured Query Language (SQL) series help you master the fundamentals of SQL and more advanced topics through hands-on practice and programming exercises. You will even learn several real-world applications for SQL and gain valuable skills to enhance your resume.

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Learn Oracle SQL and PL/SQL

Data science is the future of nearly every job sector and “big data” jobs are some of the hottest on the market. This 100% online course will prepare you for a career in data science and train you to develop databases with Oracle SQL and PL/SQL. By the end of the course, you'll be prepared to join the job market as an entry-level Oracle SQL Developer.

Course Objectives

  • Learn SQL to build applications or generate business reports
  • Master SQL using an Oracle database
  • Use PL/SQL extension language to write sophisticated queries against an Oracle database

Curriculum

Oracle SQL: relational database basics, creating tables and data manipulation language

Oracle PL/SQL: PL/SQL basics, subprograms, and conditional processing

Prerequisites and Requirements

There are no prerequisites to take this course.

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Data Science FAQs

Data science combines programming skills, mathematics, and statistics to gather, structure, and extract insights from data. Data scientists can use any number of tools, such as programming languages or databases, to automate the process of analyzing data, such as numbers, audio, video, text, and images. These data sets are then used to inform business strategy, such as delivering more relevant products, improving tech stacks, or personalizing customer experiences.

A key part of data science is managing databases, and database developers create applications that present data as useful information. Oracle's proprietary SQL and PL/SQL code is designed to optimize the performance of large databases.

By the time you complete this course, you'll be fully prepared to enter the job market as an entry-level Oracle SQL Developer. Some common titles include:

  • Data Analyst

  • Database Administrator

  • Data Engineer

  • Data Architect

Instructors

Nat Dunn founded Webucator in 2003 to combine his passion for technical training with his business expertise and to help companies benefit from both. His previous experience was in sales, business and technical training, and management. Nat has an MBA from Harvard Business School and a BA in International Relations from Pomona College.