Data Science for Professionals

Data Science for Professionals, available at $19.99, has an average rating of 4.45, with 33 lectures, based on 309 reviews, and has 7295 subscribers.

You will learn about Students will be able to analyze, manipulate, explore, illustrate, and report data in ways that will set them far apart from those who use spreadsheets and other traditional Office products. This course is ideal for individuals who are Anyone who collects, analyses, reports, or presents data. So pretty much everyone or Anyone who is tired of spreadsheets. Again, pretty much everyone or Anyone who wants to add a lot of value to their skillset and is willing to invest a few hours per week. It is particularly useful for Anyone who collects, analyses, reports, or presents data. So pretty much everyone or Anyone who is tired of spreadsheets. Again, pretty much everyone or Anyone who wants to add a lot of value to their skillset and is willing to invest a few hours per week.

Enroll now: Data Science for Professionals

Summary

Title: Data Science for Professionals

Price: $19.99

Average Rating: 4.45

Number of Lectures: 33

Number of Published Lectures: 33

Number of Curriculum Items: 33

Number of Published Curriculum Objects: 33

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Students will be able to analyze, manipulate, explore, illustrate, and report data in ways that will set them far apart from those who use spreadsheets and other traditional Office products.

Who Should Attend

Anyone who collects, analyses, reports, or presents data. So pretty much everyone

Anyone who is tired of spreadsheets. Again, pretty much everyone

Anyone who wants to add a lot of value to their skillset and is willing to invest a few hours per week.

Target Audiences

Anyone who collects, analyses, reports, or presents data. So pretty much everyone

Anyone who is tired of spreadsheets. Again, pretty much everyone

Anyone who wants to add a lot of value to their skillset and is willing to invest a few hours per week.

What is it?

Data Science for Professionals is simply the?best?way to gain a in-depth and practical skill set in data science. Through a combination of theory and hands-on practice, course participants will gain a solid grasp of how to manage, manipulate, and visualize data in R – the world’s most popular data science language.

Who should take this course?

This course is for professionals who are tired of using spreadsheets for analysis and have a serious interest in learning how to use code to improve the quality and efficiency of their work. At the end of this course, participants will have a developed a solid foundation of the fundamentals of the R language. Participants will have also gained a perspective on the modern data science landscape and how they can use R not only to better analyze data, but also to better manage projects, create interactive presentations, and collaborate with other teams. Whether it’s spreadsheets, text documents, or slides, anyone who analyzes, reports, or presents data will benefit from a knowledge of data science programming.

Who should NOT take this course?

While this course covers examples of machine learning in later lectures, this is?not?a machine learning or a statistics-focused course. The course?does?go through examples of how to use code to deploy and assess different types of models, including machine learning algorithms, but it does so from a coding perspective and not a statistics perspective. The reason is that the math behind most machine learning algorithms merits a course entirely on its own. There are many courses out there that make dubious claims of easy mastery of machine learning and deep learning algorithms – this is not one of those courses.

A Different kind of data science course

This course is different from most other courses in several ways:

We use very large, real-world examples to guide our learning process. This allows us to tie-together the various aspects of data science in a more intuitive, easy-to-retain manner.

We encounter and deal-with various challenges and bugs that arise from imperfect data. Most courses use ideal datasets in their examples, but these are not common in the real-world, and solving data-related issues is usually the most difficult and time-consuming part of data science.

We are focused on your long-term success. Our downloadable course code is filled with notes and guidance aimed at making the transition from learning-to-applying as smooth as possible.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Goals and the Data Science Process

Lecture 2: Why Use R?

Lecture 3: A Quick Overview of the R Language

Chapter 2: Setup

Lecture 1: Downloading and Installing R

Lecture 2: RStudio and Project Setup

Chapter 3: R Essentials – Data Objects

Lecture 1: Section Overview

Lecture 2: Vectors – Part 1

Lecture 3: Getting Help with R

Lecture 4: Vectors – Part 2

Lecture 5: Vectors – Part 3

Lecture 6: Vectors – Part 4

Lecture 7: Matrices

Lecture 8: Data Frames

Lecture 9: Lists

Lecture 10: Data Object Recap

Chapter 4: R Essentials – Functions and Loops

Lecture 1: Loops and IF Statements

Lecture 2: Custom Functions

Chapter 5: R Essentials – Putting it all Together!

Lecture 1: The Challenge

Lecture 2: The Solution

Chapter 6: Data Gymnastics

Lecture 1: Tidy Data

Lecture 2: Tidying our Data with tidyr

Lecture 3: Data Manipulation with dplyr – Part 1

Lecture 4: Data Manipulation with dplyr – Part 2

Lecture 5: Data Manipulation with dplyr – Part 3

Chapter 7: Data Visualization

Lecture 1: Making Graphics Easy with ggplot2 – Part 1

Lecture 2: Making Graphics Easy with ggplot2 – Part 2

Chapter 8: Modelling and Machine Learning

Lecture 1: What is Machine Learning?

Lecture 2: Training and Testing

Lecture 3: Inference Trees and Random Forests

Lecture 4: Conclusion to the HR Attrition Problem

Chapter 9: Advanced Reporting with R

Lecture 1: RMarkdown and Git Version Control

Lecture 2: Shiny Web Apps

Chapter 10: Keep in Touch!

Lecture 1: Thanks for purchasing!

Instructors

Gregory Sward
Programmer

Rating Distribution

1 stars: 3 votes

2 stars: 2 votes

3 stars: 51 votes

4 stars: 121 votes

5 stars: 132 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!