The Complete Guide to MIS

categories: Saudi Courses | Technology, Science & Productivity

Career Development

Learning

Technology

SDG 4: Quality Education

SDG 8: Decent Work and Economic Growth

SDG 9: Industry, Innovation and Infrastructure

By the end of this course, you will be able to

Define what MIS and CIS mean. Then, you will learn about the different types of courses taught in MIS and CIS and real-life examples of how MIS is used.
Identify what are you supposed to do as an MIS student during the studying stage, and what are you supposed to do before graduating, and after graduating.
Explore how to get ready for a job as an MIS student. Then, you will learn to identify the skills needed to be qualified and accepted in your dream job.

Course details

6 h 39 m/38 lessons
Last updated: 19/6/2023
Course completion certificate

Course Content

Free lessons

Course Outline

3 Minutes

What is MIS with Real Example

8 Minutes

What to do while studying

23 Minutes

Your Journey as MIS Student

25 Minutes

1. Introduction

Course Outline

3 Minutes

2. Introduction to MIS

What is MIS with Real Example

8 Minutes

What to do while studying

23 Minutes

Your Journey as MIS Student

25 Minutes

3. MIS and CIS Syllabus

What are you going to learn in this section

2 Minutes

Saint Mary CIS Syllabus

8 Minutes

Daven Port CIS Syllabus

14 Minutes

Kau MIS Syllabus

11 Minutes

KAU CIS Syllabus

20 Minutes

Wollongong BIS Syllabus

10 Minutes

MultiMedia IS Syllabus

5 Minutes

MultiMedia BI Syllabus

14 Minutes

KSU MIS Syllabus

28 Minutes

10.

KSU CIS Syllabus

7 Minutes

11.

DAH IS Syllabus

16 Minutes

12.

WHY MIS Student can't find a JOB! P1

21 Minutes

13.

WHY MIS Student can't find a JOB!P2

12 Minutes

4. What did we learn from Syllabus Section?

Why did we check the syllabus

14 Minutes

MIS vs CS

18 Minutes

5. Intoduction to Data Science

Course Outline

5 Minutes

What is DS

5 Minutes

AI vs ML vs DL vs DS

6 Minutes

Traditional Programming VS Machine Learning

9 Minutes

Supervised VS Unsupervised Learning

8 Minutes

Supervised Learning

6 Minutes

Examples of Supervised Learning

7 Minutes

Unsupervised Learning

8 Minutes

Examples of Unsupervised Learning

9 Minutes

10.

Data Science Application

2 Minutes

11.

Machine Learning Terminologies

4 Minutes

12.

Machine Learning Terminologies in Details-Part 1

7 Minutes

13.

Machine Learning Terminologies in Details-Part 2

4 Minutes

14.

Data Science Workflow-Part 1

4 Minutes

15.

Data Science Workflow-Part 2

2 Minutes

16.

Data Sources - Data Types

11 Minutes

17.

DS vs DA vs MLE vs DE

11 Minutes

18.

Skills Needed to become Data Scientist

4 Minutes

19.

How to study for data science

6 Minutes

About this course

Are you an MIS student? or thinking of getting into MIS? or about to graduate and have no idea what MIS is and what are the type of jobs you should apply for and what skills you should have before you graduate? and how MIS is used in companies, then this course is prepared for you to answer all of these questions and more through the interesting content of the course and its simple video tutorials.

Course requirements and prerequisites

There are no requirements for this course. Your interest in the topic and your commitment to learning are all you need to achieve the utmost benefit from this course.