Data Analytics With R Training in Wellington

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Data Analytics with R

Wellington

Data Analytics with R Training in Wellington helps learners understand data analytics and R programming. Professionals develop skills in data manipulation, statistical analysis, data visualisation, predictive modelling, and machine learning to analyse datasets and present insights effectively.

Attain in-depth knowledge about data handling and pre-processing in R
Understand business intelligence principles and data visualisation techniques in R
Learn statistical analysis, hypothesis testing, and machine learning applications

Dates & Prices

Data Analytics with R Overview

Course syllabus

Who it’s for

What’s included

FAQs

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

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.

Data Analytics with R 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.

Benefits of Data Analytics with R Training

Data Analytics with R Training in in Wellington by The Knowledge Academy, a global training provider, enables learners to apply analytical techniques using the R programming language. It helps professionals interpret and manage datasets effectively.

Advantages of Learning Data Analytics with R Training

Professionals can obtain the following benefits from this course:

Enhanced Data Analytics with R Programming: Strengthen the ability to work confidently with R and RStudio for data analysis and reporting tasks.
Effective Data Handling: Clean, transform, and structure datasets using R functions, packages and R data structures such as vectors, lists, and data frames to ensure accurate analysis.
Improved Statistical Analysis: Apply statistical techniques in R to interpret data patterns and support analytical conclusions.
Advanced Data Visualisation: Create clear and meaningful visualisations from the datasets using tools such as ggplot2, Plotly, and Shiny.
Applied Machine Learning: Implement Machine Learning techniques in R to build predictive models and improve data-driven forecasting.
Strengthened Regression and Classification: Develop and evaluate regression and classification models in R to predict outcomes and enrich analytical decision-making.
Improved Data Interpretation: Convert analytical results into clear, actionable insights that can be easily understood by stakeholders.

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.

Train Your Workforce

Looking for Data Analytics with R in-house or onsite training in Wellington? We specialise in corporate group training and bulk bookings for organisations of all sizes in Wellington. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

Our Wellington 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.

Wellington is the capital city of New Zealand and the second most populous city in New Zealand. Wellington has around 393,600 inhabitants. Wellington is the world’s southernmost capital city of a sovereign state. Wellington has a variety of institutions for students to attend. Victoria University of Wellington is the main University in Wellington. It has a population of around 22,000 students, with a lot of those being international students. The Victoria University of Wellington was established in 1897 by act of parliament and was named after Queen Victoria, as this was the 60^th year of her coronation. It is very well known for its programs in Law, Humanities and Sciences. The University has 9 faculties such as, Education, Engineering, Science, Law, Humanities and Social Sciences. The University has produced some notable alumni such as Sir Michael Fay who is the third richest man in New Zealand and Sir Thomas Eichelbaum who is the former Chief Justice of New Zealand. Another institute in Wellington is The New Zealand School of Music which is joint to Victoria University of Wellington and Massey University. The New Zealand School of Music offers degrees in Classical Performance, Jazz Performance, Music Studies, Composition and Sonic Arts. The Wellington Institute of Technology is another institute found in Wellington which was established in 1904. The Institute houses over 8000 students a year and offers 140 courses in departments such as Business, Information Technology, Visual Arts, Counselling and Engineering. Toi Whakaari is New Zealand’s National Drama School located in Wellington. The school offers training to students in acting, directing, costume design, entertainment, performing arts management and design. Toi Whakaari houses up to 150 students a year and host 20 live shows a year.

Ways to take Data Analytics with R in Wellington

Online Instructor-Led Learning

Online Self-Paced Learning

Classroom Based Learning

Onsite Learning

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.

Live classes

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

Interactive

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

Global Pool of the Best Trainers

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

Expertise

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

Scalable Training Delivery

Access Data Analytics with R in Wellington 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.

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.

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.

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.

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.

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.

Expert-Developed Content

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

Global Training Provider

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

Cost-Effective Training

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

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.

Highly experienced trainers

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

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

Small class sizes

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

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.

Tailored learning experience

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

Maximise your training budget

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

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

Monitor employees progress

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

Data Analytics with R Schedule in Wellington

Online Instructor-Led

Online Self-Paced

Classroom

Onsite

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 Wellington 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 Wellington 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 Wellington?

The training fees for Data Analytics with R in Wellington starts from NZD5295

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

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 Wellington?

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

Customers Reviews

Craig Malpas

The trainer was very knowledgeable and polite. She was able to provide a lot of information on the topic.

Jamani Ndubuisi

The trainer did well in explaining the contents

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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