Data Science Primer for Beginners

Data Science Primer for Beginners, available at $19.99, with 15 lectures, 3 quizzes, and has 2 subscribers.

You will learn about Master the fundamentals of statistics required for data science Understand the essence of data science terminology Get an insight into machine learning Learn to analyse the data This course is ideal for individuals who are Beginners who want to learn data science It is particularly useful for Beginners who want to learn data science.

Enroll now: Data Science Primer for Beginners

Summary

Title: Data Science Primer for Beginners

Price: $19.99

Number of Lectures: 15

Number of Quizzes: 3

Number of Published Lectures: 15

Number of Published Quizzes: 3

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: ?999

Quality Status: approved

Status: Live

What You Will Learn

Master the fundamentals of statistics required for data science

Understand the essence of data science terminology

Get an insight into machine learning

Learn to analyse the data

Who Should Attend

Beginners who want to learn data science

Target Audiences

Beginners who want to learn data science

Welcome to this short, primary course for data science enthusiasts . This course teaches you all the fundamental concepts you need to master even before you start your journey towards the data science field. Enroll in the course only if you’re really serious about building a solid foundation. If all you want is a quick guide so you can land a job quickly in the field of data science then, I am afraid, this is not the course for you!

The course starts from pretty basic assuming you don’t know anything about the concepts of Python, concept of data, concepts of statistics and probability.  We also cover all the tools you need in your career as a data scientist – tools such as Python, Jupyter Notebook, Pandas, NumPy, MatPlotlib, and Seaborn.  In short, this course helps you gain a complete mastery over the basic prerequisite you need in your journey ahead, in the path of data science.

Note: The course is still being drafted to make the curriculum easy to follow for beginners. We’re updating the course, and we’ll keep it updated always. So stay tuned! Enroll in the course for a life time access to it.  Consider it your hand book on data science fundamentals!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Statistics for data sciece

Lecture 1: Frequency & Frequency Distribution Table

Lecture 2: Relative Frequencies & Pie charts

Lecture 3: Statistics fundamentals: Introduction

Lecture 4: Measures of central tendency

Lecture 5: Measures of dispersion (spread)

Lecture 6: The empirical formula : a real-life use case

Lecture 7: Kurtosis

Lecture 8: summary of Concepts covered so far

Lecture 9: outliers and skewness

Lecture 10: Are outliers bad guys?

Lecture 11: Mean, Median or Mode? what to use when?

Lecture 12: quartile and percentile

Chapter 3: Data Analysis

Lecture 1: Why am I learning all this?

Lecture 2: Getting the system ready

Instructors

Anup Shukla
Web & Application Developer | Project Manager

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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!