Data Science & Machine Learning with R
Course Overview
Unlock the potential of data science and machine learning with our Data Science & Machine Learning with R course. This comprehensive course is designed to help you master the R programming language, build machine learning models, and gain insights from data. Whether you are new to the field or looking to enhance your existing knowledge, this course equips you with the tools to excel in today’s data-driven world.
By enrolling in this course, you gain access to all learning materials for a year. Additionally, the course provides you with the skills to make data-informed decisions and build a career in the rapidly growing field of data science and machine learning.
Description
The Machine Learning for Predictive Maps in Python and Leaflet course blends theory with hands-on practice. Each section is carefully designed to ensure you gain expertise and a deep understanding of machine learning and geospatial mapping
What You’ll Learn:
- Python Programming
- Machine Learning Techniques
- Automate data preparation
- Geospatial Mapping
- Model training and Deployment
Who Is This Machine Learning Course Course For?
This course is ideal for:
- Aspiring Data Scientists: Build a strong foundation in machine learning and Python.
- IT Professionals: Upgrade your skills in predictive analytics and application development.
- Beginners and Students: Start your journey in data science with no prior experience required.
Certificate of Achievement
Upon successfully completing the course, you receive two certificates:
Endorsed Certificate by the Quality Licence Scheme:
- Delivered physically with free postage.
- Price: £159 (International).
CPD Certificate:
- PDF Version: £2.99.
- Hard Copy: £8.99.
These certifications validate your skills and are recognised by employers worldwide.
Requirements For Machine Learning Course
To enrol in thiscourse, all you need is:
- A device with a stable internet connection.
- Basic computer literacy.
- A willingness to learn and explore new opportunities in data science.
Career Path
This machine learning course course equips you with the skills needed to excel in roles such as:
- Data Scientist
- Machine Learning Engineer
- Predictive Modelling Specialist
- Software Developer
- Business Intelligence Specialist
Course Curriculum
| 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 | ||
| Resources | |||
| Resources – Data Science & Machine Learning with R | 00:00:00 | ||
| Assignment | |||
| Assignment – Data Science & Machine Learning with R | 3 weeks, 4 days | ||
| Order Your Certificate | |||
| Order Your Certificate QLS | 00:00:00 | ||
Certificate of Achievement
Upon completion, you will receive a CPD-accredited certificate recognised globally. Choose from:
Pdf Certificate & Transcript £7.99
Hardcopy Certificate & Transcript £17.99
This certification validates your knowledge and skills, boosting your employability in healthcare.
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