Data Analytics with R Course Outline

Module 1: Introduction to Data Analytics and R

  • Understanding Data Analytics and Its Importance
  • Data Analytics Lifecycle and Phase
  • Types of Data Analysis
  • Applications of Data Analytics in Different Industries
  • Overview of R Programming for Data Analytics
  • Setting Up R and RStudio

Module 2: Data Handling and Preprocessing in R

  • Introduction to Data Handling and Preprocessing in R
  • Understanding Data Structures in R
  • Working with Vectors in R
  • Lists in R
  • Matrices and Arrays in R
  • Data Frames in R
  • Importing and Exporting Data in R
  • Handling Missing Values in R
  • Removing Duplicates in R
  • Identifying and Handling Outliers
  • Data Transformation Using dplyr
  • Data Tidying Using tidyr
  • Introduction to Exploratory Data Analysis (EDA)
  • Visualising Data in R for EDA
  • Summary and Best Practices in Data Preprocessing

Module 3: Business Intelligence and Analytics

  • Introduction to Business Intelligence and Data Visualisation in R
  • Fundamentals of Business Intelligence (BI) and Analytics
  • Data Visualisation Principles
  • Creating Static Visualisations with ggplot2
  • Interactive Dashboards with Shiny
  • Enhancing Visualisations with Plotly
  • Data Storytelling and Reporting
  • Best Practices in BI and Data Visualisation

Module 4: Statistical Analysis and Hypothesis Testing

  • Introduction to Statistical Analysis in R
  • Descriptive Statistics –Overview
  • Understanding Measures of Central Tendency
  • Understanding Measures of Dispersion
  • Visualising Data with Histograms and Boxplots
  • Inferential Statistics – Confidence Intervals
  • Introduction to Hypothesis Testing
  • Correlation and Covariance Analysis
  • Understanding Probability Distributions
  • Normality Testing in R
  • t-Tests in R
  • ANOVA (Analysis of Variance) in R
  • Chi-Square Test for Categorical Data
  • Visualising Statistical Results

Module 5: Machine Learning

  • Introduction to Machine Learning in R
  • Applications of Machine Learning
  • Supervised vs. Unsupervised Learning
  • Understanding Supervised Learning
  • Understanding Unsupervised Learning
  • Importance of Feature Engineering
  • Handling Missing Values in ML
  • Splitting Data for Training and Testing
  • Model Evaluation Metrics for Regression
  • Model Evaluation Metrics for Classification
  • Hyperparameter Tuning in Machine Learning
  • Cross-Validation for Reliable Models
  • Overfitting vs. Underfitting in ML Models
  • Comparing Different ML Models in R
  • Best Practices in ML with R

Module 6: Regression and Classification Models in R

  • Introduction to Regression and Classification Models in R
  • Linear Regression
  • Evaluating Linear Regression Models
  • Logistic Regression
  • Evaluating Logistic Regression Models
  • Decision Trees
  • Random Forest
  • Support Vector Machines (SVM)
  • k-Nearest Neighbours(kNN)
  • Handling Imbalanced Data in Classification Models

Module 7: Unsupervised Learning and Advanced Analytics

  • Introduction to Unsupervised Learning and Advanced Analytics
  • Clustering Techniques
  • k-Means Clustering in R
  • Hierarchical Clustering in R
  • Principal Component Analysis (PCA) for Dimensionality Reduction
  • Association Rule Mining – Apriori Algorithm
  • Time Series Analysis
  • Time Series Forecasting with ARIMA in R
  • Text Mining and Sentiment Analysis
  • Sentiment Analysis in R
  • Summary and Best Practices in Unsupervised Learning & Advanced Analytics
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Who should attend this Data Analytics with R Course?  

The Data Analytics with R Course is designed for individuals seeking to harness the power of data to make informed decisions. This course offers insights and tools to propel your analytical capabilities. This course can be beneficial for a wide range of professionals, including:

  • Data Analysts
  • Statisticians
  • Business Analysts
  • Financial Analysts
  • Marketing Analysts
  • Researchers
  • Healthcare Data Professionals
  • IT and Software Engineers

Prerequisites of the Data Analytics with R Course 

There are no formal prerequisites for this Data Analytics with R Course.

Data Analytics with R Course Overview

Data Analytics with R Course is a crucial component of Big Data and Analytics Training. In today's data-driven world, the power of R for data analysis is paramount. R, a programming language and environment widely used for statistical analysis and data visualisation, holds the key to uncovering actionable insights from vast datasets. Its relevance is evident in its ability to aid professionals in making informed decisions based on data-driven findings.

Proficiency in R is the ability to harness R's capabilities, enabling them to extract meaningful patterns from complex datasets, aiding in informed decision-making. For instance, data scientists proficient in R can explore trends and uncover hidden insights in various industries, making it a critical skill for career advancement.

The 1-day course offered by the Knowledge Academy is designed to empower delegates with the knowledge and practical skills they need for data analytics with R. Through hands-on experience in data manipulation, statistical analysis, and data visualisation using R, participants will gain a deep understanding of the subject. The course emphasizes real-world applications, ensuring that delegates are well-equipped to tackle data-related challenges effectively.

Course Objectives

  • To gain expertise in exploratory data analysis and visualisation techniques
  • To acquire knowledge of advanced statistical methods for data interpretation
  • To understand machine learning algorithms and their application in data analytics
  • To learn to create interactive dashboards for data presentation
  • To implement real-time analytics solutions using R and Big Data technologies
  • To apply ethical considerations and best practices in data analytics projects

After completing this Big Data and Analytics Course, you will receive a certification, validating your proficiency in R for data analytics. This certification serves as a tangible proof of your skills and enhances your career prospects.

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What’s included in this Data Analytics with R Course?

  • World-Class Training Sessions from Experienced Instructors
  • Data Analytics with R Certificate
  • Digital Delegate Pack
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Our Leicester venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Leicester is a city located in the East Midlands of England; it is a county town within Leicestershire; it is estimated to have over 330,000 people livening and working in the city. The education in Leicester follows the British educational system and is divided into three levels: Primary School, Secondary Schools and Higher Education and is compulsory for children up to the age of 16. The city provides a wide range of comprehensive schools and independent schools and three sixth form colleges. Leicester Grammar School was founded in 1980 after loss of the city’s state-funded grammar schools. The city recently opened an academy, Samworth Enterprise Academy, to improve the city's education system. Leicester also provides universities for students who wish to continue their education. The University of Leicester which was established in 1957 and is now ranked 12th in Britain's leading universities; it has over 2,400 students attending and over 2,000 academic staff. It is also home to De Montfort University which opened in 1969. The university now contains over 21,000 students and is ranked one of the top 10 business schools in the UK.

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Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Analytics with R. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

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Live classes

Join a scheduled class with a live instructor and other delegates.

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Interactive

Engage in activities, and communicate with your trainer and peers.

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Global Pool of the Best Trainers

We handpick from a global pool of expert trainers for our Online Instructor-led courses.

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Expertise

With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.

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Scalable Training Delivery

Access Data Analytics with R in Leicester delivered by one of the largest training providers, with scalable instructor-led classes, accessible worldwide.

Master Data Analytics with R with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

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Structured Yet Flexible Learning

Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

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Engaging & Interactive Training

Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Data Analytics with R industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

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Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

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Global Training Accessibility

Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Learn Data Analytics with R through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

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Flexible Learning

Access Data Analytics with R resources 24/7 to maintain steady progress, complete regular assessments or tasks, and upskill effectively alongside work commitments.

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Expert-Developed Content

Our Online Course content is designed by experienced trainers to ensure accuracy, relevance, and practical value.

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Global Training Provider

Access Data Analytics with R in Leicester from a trusted global training provider delivering consistent learning to professionals worldwide.

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Cost-Effective Training

Benefit from the cost-effective Data Analytics with R that delivers high-quality course content without compromising learning outcomes.

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Interactive LMS

Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Experience the most sought-after learning style with The Knowledge Academy's Data Analytics with R Course. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Data Analytics with R sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Data Analytics with R Course at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our Data Analytics with R offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

Package deals for Data Analytics with R

Our training experts have compiled a range of course packages on a variety of categories in Data Analytics with R, to boost your career. The packages consist of the best possible qualifications with Data Analytics with R, and allows you to purchase multiple courses at a discounted rate.

Data Analytics With R Training in Leicester FAQs

What is Data Analytics with R Course about?

The Data Analytics with R Course focuses on using the R programming language to analyse, interpret, and visualise data. You will learn how to apply statistical techniques and data manipulation methods, gaining practical insights into business and scientific datasets. It's ideal for professionals looking to make data-driven decisions efficiently.

Who should attend the Data Analytics with R Course?

This course is designed for data analysts, data scientists, business analysts, and anyone looking to develop their skills in data analysis and interpretation using R. It’s also suitable for professionals from various industries seeking to harness the power of data for strategic decision-making.

What topics are covered in the Data Analytics with R Course?

The course covers a range of topics, including data manipulation, statistical analysis, data visualisation, predictive modeling, and machine learning with R. You'll also explore working with real-world datasets, creating reports, and presenting insights effectively.

What are the prerequisites for this Data Analytics with R Course?

There are no formal prerequisites, but having a basic understanding of programming or statistics can be helpful. Familiarity with data concepts and basic Excel skills will give you a head start, but the course is designed to accommodate beginners as well.

How is R used in Data Analytics?

R is widely used in Data Analytics for its powerful statistical analysis and data visualisation capabilities. It allows users to handle large datasets, perform complex analyses, and create detailed graphs, making it a popular choice for professionals in research, finance, and business analytics.

Is R or Python better for Data Analytics?

Both R and Python are excellent choices for Data Analytics. R is known for its specialised statistical packages and data visualisation tools, while Python offers more flexibility in general programming. Choosing between them depends on your project needs and personal preference, as both can perform similar tasks effectively.

What are the benefits of taking the Online Data Analytics with R Course?

Taking the course online offers flexibility, allowing you to learn at your own pace and from the comfort of your home. You gain practical experience with real-world datasets, guided by expert instructors. Plus, the online format enables easy access to resources and the ability to revisit lessons whenever needed.

What skills do I need to learn for Data Analytics with R Course?

You will need to develop skills in statistical analysis, data manipulation, data visualisation, and programming in R. Critical thinking and problem-solving abilities are also essential to analyse datasets effectively and make data-driven decisions.

What kinds of jobs can you get with Data Analytics with R Course skills?

With Data Analytics with R skills, you can pursue roles such as Data Analyst, Data Scientist, Business Analyst, Statistician, and Market Research Analyst. These roles are in high demand across industries like finance, healthcare, e-commerce, and technology.

What is included in the course?

The course includes comprehensive learning materials on data manipulation, statistical analysis, data visualisation, machine learning, and hands-on exercises using R. You’ll also have access to case studies and real-world projects to apply your knowledge effectively.

What is the duration of Data Analytics with R?

The duration of the Data Analytics with R Course is 1 day.

Are there any ongoing support or resources available after completing the course?

Yes, The Knowledge Academy provides ongoing support, including access to course materials, webinars, and online forums even after you complete the course. You'll also be part of a learning community where you can engage with instructors and peers for continued guidance.

What will I learn in this Data Analytics with R?

In this course, you will learn how to clean, manipulate, and analyse data using R. You'll gain expertise in statistical modeling, data visualisation, and predictive analytics. By the end of the course, you’ll be proficient in creating actionable insights from complex datasets.

What are my next steps after completing the Data Analytics with R?

After completing the course, you can pursue advanced Data Analytics courses, explore specialisation in machine learning, or start applying your newly acquired skills in real-world projects. You may also want to seek certifications or practical experience in your field.

How will this Data Analytics with R benefit my career?

This course will equip you with in-demand skills that are highly valued in today’s data-driven industries. It can help you enhance your job prospects, advance your career, or pivot into a high-paying role in Data Analytics, making you more competitive in the job market.

Can I access the course materials after the training period ends?

Yes, The Knowledge Academy allows you to access the course materials even after the training period ends. This helps you revisit important concepts, refresh your knowledge, and continue learning at your own pace.

What kind of certification will I receive upon completion of the course?

Upon successful completion of the course, you will receive a certification from The Knowledge Academy, validating your skills in Data Analytics with R. This certification can be a great addition to your resume and professional portfolio.

How can I attend the course?

Attending the course is easy. Simply visit The Knowledge Academy's website, choose the Data Analytics with R Course, and follow the registration process. You can also contact our support team for any assistance.

What kind of job opportunities can I expect after completing this course?

After completing this course, you can explore job opportunities in data analysis, business intelligence, and data science. Companies across various sectors are actively seeking professionals skilled in R for roles like Data Analyst, Research Analyst, and Data Scientist.

Why choose The Knowledge Academy in Leicester over others?

The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition.

What is the cost/training fees for Data Analytics with R in Leicester?

The training fees for Data Analytics with R in Leicester starts from £1995

Which is the best training institute/provider of Data Analytics with R in Leicester?

The Knowledge Academy is one of the Leading global training provider for Data Analytics with R.

What are the best Big Data and Analytics Training courses in Leicester?

Please see our Big Data and Analytics Training courses available in Leicester

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