Overview Welcome to the “2021 Data Science & Machine Learning with R from A-Z” course, a comprehensive and up-to-date program …
( 8 Reviews )
14 Students
Welcome to the “2021 Data Science & Machine Learning with R from A-Z” course, a comprehensive and up-to-date program designed to provide participants with a thorough understanding of data science and machine learning concepts using the R programming language. In today’s data-driven world, the demand for skilled professionals who can analyze complex data sets and derive actionable insights continues to grow. This course aims to equip learners with the knowledge and practical skills needed to excel in this rapidly evolving field.
Throughout this course, participants will embark on a journey from the foundational principles of data science to advanced machine learning techniques, covering everything from data manipulation and visualization to statistical analysis and predictive modeling. Using R, a powerful and versatile programming language for data analysis, participants will learn how to manipulate data frames, perform statistical tests, create visualizations, and implement machine learning algorithms.
The curriculum is structured to provide a balance between theoretical concepts and hands-on practice. Participants will have the opportunity to apply their knowledge through real-world projects and exercises, gaining practical experience that will prepare them for success in data science roles.
By the end of the course, participants will emerge with a solid understanding of key data science and machine learning concepts, proficiency in using R for data analysis, and the ability to apply machine learning algorithms to solve real-world problems. Whether you’re a beginner looking to enter the field of data science or an experienced professional seeking to enhance your skill set, this course provides a comprehensive learning experience to help you achieve your goals.
On Completion of this 2021 Data Science & Machine Learning with R from A-Z online course, you’ll acquire:
The 2021 Data Science & Machine Learning with R from A-Z course is designed to provide participants with a comprehensive understanding of data science concepts and practical skills using the R programming language. Through a combination of theoretical learning and hands-on projects, participants will learn how to manipulate and analyze data, visualize insights, and build predictive models using machine learning algorithms. This course offers a structured learning path from beginner to advanced levels, catering to individuals seeking to enter the field of data science or enhance their existing skills.
This course is suitable for beginners as well as experienced professionals looking to advance their careers in data science. It’s ideal for data analysts, statisticians, programmers, business analysts, and anyone interested in harnessing the power of data for insights and decision-making.
Participants should have basic programming knowledge and familiarity with statistics. Access to a computer with R and RStudio installed is required for hands-on exercises and projects.
Upon successful completion of the 2021 Data Science & Machine Learning with R from A-Z course, learners can obtain both a PDF certificate and a Hard copy certificate for completely FREE. The Hard copy certificate is available for a nominal fee of £3.99, which covers the delivery charge within the United Kingdom. Additional delivery charges may apply for orders outside the United Kingdom.
| Data Science and Machine Learning Course Intro | |||
| Data Science and Machine Learning Introduction | 00:03:00 | ||
| What is Data Science | 00:10:00 | ||
| Machine Learning Overview | 00:05:00 | ||
| Who is This Course for | 00:03:00 | ||
| Data Science and Machine Learning Marketplace | 00:05:00 | ||
| Data Science and Machine Learning Job Opportunities | 00:03:00 | ||
| Getting Started with R | |||
| Getting Started | 00:11:00 | ||
| Basics | 00:06:00 | ||
| Files | 00:11:00 | ||
| RStudio | 00:07:00 | ||
| Tidyverse | 00:05:00 | ||
| Resources | 00:04:00 | ||
| Data Types and Structures in R | |||
| Unit Introduction | 00:30:00 | ||
| Basic Type | 00:09:00 | ||
| Vector Part One | 00:20:00 | ||
| Vectors Part Two | 00:25:00 | ||
| Vectors – Missing Values | 00:16:00 | ||
| Vectors – Coercion | 00:14:00 | ||
| Vectors – Naming | 00:10:00 | ||
| Vectors – Misc | 00:06:00 | ||
| Creating Matrics | 00:31:00 | ||
| List | 00:32:00 | ||
| Introduction to Data Frames | 00:19:00 | ||
| Creating Data Frames | 00:20:00 | ||
| Data Frames: Helper Functions | 00:31:00 | ||
| Data Frames Tibbles | 00:39:00 | ||
| Intermediate R | |||
| Intermediate Introduction | 00:47:00 | ||
| Relational Operations | 00:11:00 | ||
| Conditional Statements | 00:11:00 | ||
| Loops | 00:08:00 | ||
| Functions | 00:14:00 | ||
| Packages | 00:11:00 | ||
| Factors | 00:28:00 | ||
| Dates and Times | 00:30:00 | ||
| Functional Programming | 00:37:00 | ||
| Data Import or Export | 00:22:00 | ||
| Database | 00:27:00 | ||
| Data Manipulation in R | |||
| Data Manipulation in R Introduction | 00:36:00 | ||
| Tidy Data | 00:11:00 | ||
| The Pipe Operator | 00:15:00 | ||
| The Filter Verb | 00:22:00 | ||
| The Select Verb | 00:46:00 | ||
| The Mutate Verb | 00:32:00 | ||
| The Arrange Verb | 00:10:00 | ||
| The Summarize Verb | 00:23:00 | ||
| Data Pivoting | 00:43:00 | ||
| JSON Parsing | 00:11:00 | ||
| String Manipulation | 00:33:00 | ||
| Web Scraping | 00:59:00 | ||
| Data Visualization in R | |||
| Data Visualization in R Section Intro | 00:17:00 | ||
| Getting Started | 00:16:00 | ||
| Aesthetics Mappings | 00:25:00 | ||
| Single Variable Plots | 00:37:00 | ||
| Two Variable Plots | 00:21:00 | ||
| Facets, Layering, and Coordinate Systems | 00:18:00 | ||
| Styling and Saving | 00:12:00 | ||
| Creating Reports with R Markdown | |||
| Creating with R Markdown | 00:29:00 | ||
| Building Webapps with R Shiny | |||
| Introduction to R Shiny | 00:26:00 | ||
| A Basic R Shiny App | 00:31:00 | ||
| Other Examples with R Shiny | 00:34:00 | ||
| Introduction to Machine Learning | |||
| Machine Learning Part 1 | 00:22:00 | ||
| Machine Learning Part 2 | 00:47:00 | ||
| Starting A Career in Data Science | |||
| Starting a Data Science Career Section Overview | 00:03:00 | ||
| Data Science Resume | 00:04:00 | ||
| Getting Started with Freelancing | 00:05:00 | ||
| Top Freelance Websites | 00:05:00 | ||
| Personal Branding | 00:05:00 | ||
| Importance of Website and Blo | 00:04:00 | ||
| Networking Do’s and Don’ts | 00:04:00 | ||
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
In the UK, the social care system is mainly managed by the local councils. People are directly employed by the councils. They often work together with the health commissioners under joint funding arrangements. Some people work for private companies or voluntary organizations hired by local councils. They help the local councils with their personal social services.
14-Day Money-Back Guarantee
COPYRIGHT © 2021 One Education
Oops! We could not locate your form.