Introduction to Data Science for Complete Beginners

Introduction to Data Science for Complete Beginners, available at Free, has an average rating of 4.5, with 21 lectures, 8 quizzes, based on 846 reviews, and has 24781 subscribers.

You will learn about 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 This course is ideal for individuals who are Data Science Enthusiasts or People who wants to Become Data Scientists or Data Science Aspirants It is particularly useful for Data Science Enthusiasts or People who wants to Become Data Scientists or Data Science Aspirants.

Enroll now: Introduction to Data Science for Complete Beginners

Summary

Title: Introduction to Data Science for Complete Beginners

Price: Free

Average Rating: 4.5

Number of Lectures: 21

Number of Quizzes: 8

Number of Published Lectures: 21

Number of Published Quizzes: 8

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: Free

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Data Science Enthusiasts
People who wants to Become Data Scientists
Data Science Aspirants

Target Audiences

Data Science Enthusiasts
People who wants to Become Data Scientists
Data Science Aspirants

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: 2- Course Outline

Lecture 2: Udemy Player Overview

Chapter 2: Data Science Basics

Lecture 1: Lesson 1: What is Data Science?

Lecture 2: Lesson 2: AI vs ML vs DL vs DS

Lecture 3: Lesson 3: Traditional Programming vs Machine Learning

Lecture 4: Lesson 4: Supervised Learning vs Unsupervised Learning

Lecture 5: Lesson 5: Supervised Learning in Details

Lecture 6: Lesson 6: Examples of Supervised Learning

Lecture 7: Lesson 7: Unsupervised Learning

Lecture 8: Lesson 8: Examples of Unsupervised Learning

Lecture 9: Lesson 9: Data Science Applications

Lecture 10: Lesson 10: Machine Learning Terminologies

Lecture 11: Lesson 11: Machine Learning Terminologies in Details Part 1

Lecture 12: Lesson 12: Machine Learning Terminologies Part 2

Lecture 13: Lesson 13: Data Science Workflow Part 1

Lecture 14: Lesson 14: Data Science Workflow Part 2

Lecture 15: Lesson 15: Data Types

Lecture 16: Lesson 16: DS vs DA vs MLE vs DE

Lecture 17: Lesson 17: Skills Needed to become a Data Scientist

Lecture 18: Lesson 18: How to study Data Science

Chapter 3: BONUS SECTION

Lecture 1: BONUS LECTURE

Instructors

Fahad Masood Reda
Data Science & MIS Mentor | Founder of TheMIS & DataArena

Rating Distribution

1 stars: 7 votes
2 stars: 14 votes
3 stars: 101 votes
4 stars: 275 votes
5 stars: 449 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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