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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
-
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
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Instructor
1938 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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