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The Complete Guide to MIS

Duration: 6 h 39 m / 38 lessons

Level: General

Course Language: English

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

1.

Course Outline

3 Minutes
2.

What is MIS with Real Example?

8 Minutes
3.

What to do while studying?

23 Minutes
4.

Your Journey as MIS Student

25 Minutes
1.

Course Outline

3 Minutes
1.

What is MIS with Real Example?

8 Minutes
2.

What to do while studying?

23 Minutes
3.

Your Journey as MIS Student

25 Minutes
1.

What are you going to learn in this section?

2 Minutes
2.

Saint Mary CIS Syllabus

8 Minutes
3.

Daven Port CIS Syllabus

14 Minutes
4.

Kau MIS Syllabus

11 Minutes
5.

KAU CIS Syllabus

20 Minutes
6.

Wollongong BIS Syllabus

10 Minutes
7.

MultiMedia IS Syllabus

5 Minutes
8.

MultiMedia BI Syllabus

14 Minutes
9.

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
1.

Why did we check the syllabus?

14 Minutes
2.

MIS vs CS

18 Minutes
1.

Course Outline

5 Minutes
2.

What is DS ?

5 Minutes
3.

AI vs ML vs DL vs DS

6 Minutes
4.

Traditional Programming VS Machine Learning

9 Minutes
5.

Supervised VS Unsupervised Learning

8 Minutes
6.

Supervised Learning

6 Minutes
7.

Examples of Supervised Learning

7 Minutes
8.

Unsupervised Learning

8 Minutes
9.

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.

Mentor

The Complete Guide to MIS

Duration: 6h 39m / 38 lessons
Level: General
Course Language: English
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