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What you'll learn?
- What is Data Science
- Who is a Data Scientist
- Type of Questions that a Data Science Can Answer
- Supervised and Unsupervised Learning in Machine Learning with Real life Examples
- Applications of Data Science in Real Life
- What is Data Engineering
- Who is a Data Engineer
- What is Machine Learning
- Who is a Machine Learning Engineer
- Skills Needed to become a Data scientist
- How to Practice Data Science and Build your portfolio
- Certifications in Data Science
Course Overview
Data science and machine learning is one of the hottest fields in the market and has a bright future
In the past ten years, many courses have appeared that explains the field in a more practical way than in theory
During my experience in counseling and mentoring, I faced many obstacles, the most important of which was the existence of educational gaps for the learner, and most of the gaps were in the theoretical field.
To fill this gap, I made this course, Thank God, this course helped many students to properly understand the field of data science.
If you have no idea what the field of data science is and are looking for a very quick introduction to data science, this course will help you become familiar with and understand some of the main concepts underlying data science.
If you are an expert in the field of data science, then attending this course will give you a general overview of the field
This short course will lay a strong foundation for understanding the most important concepts taught in advanced data science courses, and this course will be very suitable if you do not have any idea about the field of data science and want to start learning data science from scratch
Pre-requisites
- Laptop or PC
- A Good Connection to the internet
Target Audience
- Data Science Enthusiasts
- People who wants to Become Data Scientists
Curriculum 19 Lectures 01:35:03
-
Section 1 : Introduction
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Section 2 : Data Science Basics
- Lecture 1 :
- What is Data Science?
- Lecture 2 :
- AI vs ML vs DL vs DS
- Lecture 3 :
- Traditional Programming vs Machine Learning
- Lecture 4 :
- Supervised Learning vs Unsupervised Learning
- Lecture 5 :
- Supervised Learning in Details
- Lecture 6 :
- Examples of Supervised Learning
- Lecture 7 :
- Unsupervised Learning
- Lecture 8 :
- Examples of Unsupervised Learning
- Lecture 9 :
- Data Science Applications
- Lecture 10 :
- Machine Learning Terminologies
- Lecture 11 :
- Machine Learning Terminologies in Details Part 1
- Lecture 12 :
- Machine Learning Terminologies Part 2
- Lecture 13 :
- Data Science Workflow Part 1
- Lecture 14 :
- Data Science Workflow Part 2
- Lecture 15 :
- Data Types
- Lecture 16 :
- DS vs DA vs MLE vs DE
- Lecture 17 :
- Skills Needed to become a Data Scientist
- Lecture 18 :
- How to study Data Science
Our learners work at
Frequently Asked Questions
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How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
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For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions. -
Is there any free trial?
Currently, we do not offer any free trial. -
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?
Instructor
4861 Course Views
7 Courses
Hi! My name is Fahad Masood Reda, an MIS (Management Information Systems) and Data Science Mentor and a life coach, from Saudi Arabia. I hold a BSc in MIS and Masters in Computer Information systems in the field of Data Science from King Abdulaziz University. In 2008 I started mentoring MIS students locally and in 2014 I started my blog(TheMIS)so I can reach more people, Now I mentor and teach in the field of MIS and Data Science and WordPress Globally via meetups and Online webinars, and my blog and YouTube Channel, I'm passionate about helping other people achieve their potential through all aspects of their life. I really hope my courses will help you do better in everything from your career to your personal goals, I'm constantly creating new courses both on my own academy and on Udemy so let me know if there's a thing you'd like to see in particular. Currently offering Data Science and MIS and Self Development-related courses
Thanks for reading and enjoy the learning journey!
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