22.4 Hours
Course Certificate
Overview
Welcome to the immersive online course “Data Science & Machine Learning with R from A-Z.” This course is meticulously crafted to provide you with a comprehensive understanding of data science principles and machine learning techniques using the R programming language. Whether you’re a novice looking to enter the world of data science or an experienced professional aiming to expand your skill set, this course offers a structured learning path that covers everything from foundational concepts to advanced applications.
The course begins with an introduction to R programming, ensuring you grasp essential concepts such as data types, functions, and control structures. You’ll swiftly progress to data manipulation, learning how to import, clean, and preprocess datasets to prepare them for analysis. Through hands-on exercises and real-world examples, you’ll gain proficiency in using popular R packages like dplyr and tidyr for data wrangling tasks.
Moving forward, the course dives into exploratory data analysis (EDA) and data visualization using ggplot2, equipping you with techniques to uncover patterns, trends, and relationships within data. You’ll learn statistical methods for summarizing data and making informed decisions based on your analyses.
A significant focus of the course is on machine learning, where you’ll explore supervised and unsupervised learning techniques. You’ll build predictive models for regression and classification tasks, understand how to evaluate model performance using metrics like accuracy, precision, recall, and ROC curves. Techniques for handling overfitting, underfitting, and model tuning will also be covered to ensure robust and reliable predictions.
Throughout the course, you’ll work on practical projects that simulate real-world scenarios, allowing you to apply your newfound knowledge to solve complex data problems. These projects will not only reinforce your understanding but also demonstrate your ability to apply data science techniques in a meaningful way.
By the end of the course, you’ll be equipped with the skills needed to manipulate data effectively, visualize insights clearly, build predictive models confidently, and derive actionable insights from data using R. Whether you aspire to become a data scientist, machine learning engineer, or business analyst, this course will provide you with the foundation and practical experience necessary to excel in your career in data science and machine learning.
Learning Outcomes
- Master fundamental and advanced R programming concepts.
- Explore data manipulation and visualization with R.
- Build and evaluate predictive models using machine learning algorithms.
- Understand the principles of data exploration and feature engineering.
- Learn to interpret and communicate results from data analyses effectively.
What Will Make You Stand Out?
On Completion of this online course, you’ll acquire:
- CPD QS Accredited Course.
- Upon Course Completion, Earn a Complimentary PDF and a hard copy Certificate to Showcase Your Enhanced Skills.
- Lifetime access.
- 24x7 Tutor Support.
- Complete the course at your own pace.
Description
In this course, you will embark on a journey from the basics of R programming to advanced data manipulation and machine learning techniques. Starting with an introduction to R and its ecosystem, you’ll quickly progress to handling data structures, importing and cleaning datasets, and visualizing data using ggplot2. As you advance, you’ll delve into statistical analysis, hypothesis testing, and exploratory data analysis (EDA). The course will then transition into machine learning, covering regression, classification, clustering, and dimensionality reduction algorithms with practical examples in R.
Moreover, you’ll gain hands-on experience in building predictive models and assessing their performance through techniques like cross-validation and model evaluation metrics. Throughout the course, you’ll work on real-world projects that simulate industry scenarios, allowing you to apply what you’ve learned in a practical context.
By the end, you’ll have a robust understanding of how to leverage R for data science and machine learning tasks, empowering you to tackle complex data challenges and derive actionable insights from your analyses.
Who is this course for?
This course is ideal for aspiring data scientists, analysts, and professionals who want to harness the power of R for comprehensive data analysis and machine learning applications. It’s suitable for beginners with no prior experience in R or data science, as well as intermediate learners looking to deepen their understanding and practical skills in using R for data-driven decision-making.
Requirements
Access to a computer with internet connectivity and a desire to learn and succeed in your home-based business venture. No prior experience or qualifications are necessary.
Certification
Upon successful completion of the 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.
Career Path
- Data Scientist
- Machine Learning Engineer
- Business Analyst
67 Student
