DATA ANALYSIS USING MySQL ;

Course Details

DATA ANALYSIS USING MySQL

Instructor Name

Jassen Japheth Gaddiun

ICT COURSES

Reviews

5 (1 Rating)

Course Requirements

Basic computer literacy and familiarity with using a computer.
Basic understanding of data, databases, and spreadsheets is helpful but not mandatory.
Basic knowledge of mathematics and logical reasoning is an advantage.
Access to a computer with MySQL installed or access to a MySQL database environment.
Willingness to participate in practical SQL exercises, assignments, and database analysis activities.
No prior professional experience in MySQL or database analysis is required.

Course Description

Data Analysis Using MySQL introduces learners to the use of MySQL and SQL (Structured Query Language) for storing, retrieving, managing, and analyzing structured data. The course provides practical skills for working with relational databases and extracting meaningful insights from large datasets.

Learners will explore database creation and management, tables, data types, SQL queries, filtering, sorting, grouping, aggregate functions, joins, subqueries, and data manipulation. The course also emphasizes practical data analysis techniques that can be applied to business, research, reporting, and organizational decision-making.

Course Outcomes

By the end of this course, learners should be able to:

Explain the fundamental concepts of relational databases and data analysis.
Understand the structure and components of MySQL databases.
Create and manage databases, tables, and relationships using MySQL.
Write SQL queries to retrieve and analyze data effectively.
Apply filtering, sorting, grouping, and aggregate functions to datasets.
Use SQL joins to combine and analyze data from multiple tables.
Apply subqueries and other SQL techniques to solve analytical problems.
Clean, organize, and transform data within a MySQL database.
Identify trends, patterns, relationships, and insights from structured datasets.
Generate useful reports and summaries from database information.
Apply data analysis techniques to support business and organizational decision-making.
Develop a strong foundation for progressing into advanced SQL, database administration, business intelligence, and data analytics.

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Course Curriculum

1 DATA ANALYSIS USING MYSQL

1 Hour

DATA ANALYSIS USING MYSQL

1 PRACTICAL

1 Hour

PRACTICAL

1 FOUNDATIONS OF RELATIONAL DATABASES, MYSQL AND DATA ANALYSIS

1 Hour

FOUNDATIONS OF RELATIONAL DATABASES, MYSQL AND DATA ANALYSIS

1 MYSQL DATABASE CREATION, TABLE DESIGN AND RELATIONSHIPS

1 Hour

MYSQL DATABASE CREATION, TABLE DESIGN AND RELATIONSHIPS

1 SQL RETRIEVAL, FILTERING, SORTING AND DATA MANIPULATION

1 Hour

SQL RETRIEVAL, FILTERING, SORTING AND DATA MANIPULATION

1 GROUPING, AGGREGATE FUNCTIONS AND BUSINESS ANALYSIS

1 Hour

GROUPING, AGGREGATE FUNCTIONS AND BUSINESS ANALYSIS

1 JOINS, RELATIONAL ANALYSIS AND MULTI-TABLE QUERIES

1 Hour

JOINS, RELATIONAL ANALYSIS AND MULTI-TABLE QUERIES

1 SUBQUERIES, DATA CLEANING, TRANSFORMATION AND ADVANCED SQL TECHNIQUES

1 Hour

SUBQUERIES, DATA CLEANING, TRANSFORMATION AND ADVANCED SQL TECHNIQUES

1 DATA ANALYSIS WORKFLOW, REPORTING AND DECISION SUPPORT

1 Hour

DATA ANALYSIS WORKFLOW, REPORTING AND DECISION SUPPORT

1 INTEGRATED MYSQL ANALYSIS, PERFORMANCE, SECURITY AND ADVANCED LEARNING PATHS

1 Hour

INTEGRATED MYSQL ANALYSIS, PERFORMANCE, SECURITY AND ADVANCED LEARNING PATHS

1 FINAL COURSE REVIEW

1 Hour

FINAL COURSE REVIEW

Instructor

Jassen Japheth Gaddiun

Senior Lecturer | Technopreneur | IT Consultant | Technology Strategist | Digital Transformation Specialist | Software & Web Solutions Expert | Data & AI Enthusiast | Cybersecurity Advocate

Senior Lecturer

5 Rating

1 Reviews

25 Students

16 Courses

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This course includes:

Duration N/A
Skill Level Professional Diploma
Lectures 11 lessons
Enrolled 1 students
Certificate of Completion
Full lifetime access

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