Most Frequent Questions about Data Science are answered in this course
Free tutorial
13,501 students
1hr 59min of on-demand video
Created by Fahad Masood Reda
English
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
- Some Great Books in Data Science
Requirements
- Laptop or PC
- A Good Connection to the internet
- Passion to Learn about Data Science
Description
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
Who this course is for:
- Data Science Enthusiasts
- People who wants to Become Data Scientists
- Data Science Aspirants
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Course content
2 sections • 20 lectures • 1h 58m total lengthCollapse all sections
Introduction2 lectures • 5min
- 2- Course Outline01:17
- Udemy Player Overview03:47
Data Science Basics18 lectures • 1hr 54min
- Lesson 1: What is Data Science?05:20
- Lesson 2: AI vs ML vs DL vs DS06:14
- Lesson 3: Traditional Programming vs Machine Learning09:58
- Lesson 4: Supervised Learning vs Unsupervised Learning08:50
- Lesson 5: Supervised Learning in Details06:56
- Lesson 6: Examples of Supervised Learning07:23
- Lesson 7: Unsupervised Learning08:14
- Lesson 8: Examples of Unsupervised Learning09:34
- Lesson 9: Data Science Applications02:24
- Lesson 10: Machine Learning Terminologies04:56
- Lesson 11: Machine Learning Terminologies in Details Part 107:20
- Lesson 12: Machine Learning Terminologies Part 204:46
- Lesson 13: Data Science Workflow Part 104:38
- Lesson 14: Data Science Workflow Part 202:50
- Lesson 15: Data Types01:57
- Lesson 16: DS vs DA vs MLE vs DE11:48
- Lesson 17: Skills Needed to become a Data Scientist04:07
- Lesson 18: How to study Data Science06:37
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