technifyed

EDUCBA via Coursera

Oracle SQL 21c Mastery: Apply, Analyze & Manage Data

Overview

Master Oracle SQL 21c and build the practical database skills needed to retrieve, analyze, and manage relational data with confidence. This course guides you through both foundational and advanced Oracle SQL 21c concepts, helping you develop the ability to write accurate queries, manipulate data, and maintain database structures using industry-standard SQL techniques.

You will begin by installing Oracle 21c, navigating SQL Developer, and executing fundamental SQL statements. As you progress, you will learn to retrieve, filter, sort, and manipulate data using single-row and multiple-row functions. Building on these core skills, you will apply joins and subqueries to retrieve, compare, and analyze data across multiple tables while improving query effectiveness. The course also covers essential Data Manipulation Language (DML) and Data Definition Language (DDL) statements for updating, deleting, creating, and managing database tables.

Designed for learners who want to develop practical Oracle SQL 21c database management skills, this course combines hands-on query development with real-world database operations. By the end of the course, you will be able to write SQL queries, analyze relational data, manage database objects, and confidently maintain Oracle SQL 21c databases using professional database management practices.

Syllabus 2

  1. SQL Foundations and Data Retrieval 2.5 hours

    This module introduces learners to the essential foundations of Oracle SQL 21c, focusing on setting up the environment and mastering the basics of query execution. Learners will explore how to install and configure Oracle 21c, understand the SQL Developer interface, and execute fundamental SQL comm…

  2. Advanced Queries and Data Management 2 hours

    This module builds on SQL foundations by introducing advanced Oracle SQL 21c concepts for effective data manipulation and management. Learners will explore powerful techniques such as joins and subqueries to combine and filter information across multiple tables. The module also covers essential Dat…

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Covers niche tools that universities don't teach.
  • Self-paced: start any time.
  • A clear syllabus (2 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.
  • Many courses are produced quickly from slides and screen recordings; read the reviews first.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • EDUCBA

EDUCBA is in Tier 5: mass-produced or unclear of our institution ranking (36/100). Thousands of courses, mostly slides and screen recordings.

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Harvard University · edX

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Free to audit8 weeks, 3 - 5 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Harvard University · edX

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Free to audit8 weeks, 2 - 3 hours per week

Massachusetts Institute of Technology · YouTube

MIT 14.310x Data Analysis for Social Scientists, Spring 2023

Instructors: Esther Duflo and Sara Ellison View the complete course: https://ocw.mit.edu/courses/14-310x-data-analysis-for-social-scientists-spring-2023 This course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. We will start with esse…

Free video23 videos, 28 hours

Enter your email and the official page opens. Phone is optional.