Course information

High-Dimensional Data Analysis Masterclass Course Outline

Module 1: Introduction to High-Dimensional Data Analysis

  • Defining High-Dimensional Data
  • Why High-Dimensional Data Analysis Matters?
  • Challenges and Complexities in High-Dimensional Data
  • Real-World Applications and Examples
  • Ethical Considerations in Data Analysis

Module 2: Data Preprocessing and Dimension Reduction

  • Data Cleaning and Quality Assurance
  • Feature Selection Vs Feature Extraction
  • Principal Component Analysis
  • t-Distributed Stochastic Neighbour Embedding (t-SNE)
  • Handling Missing Data in High Dimensions

Module 3: Exploratory Data Analysis (EDA)

  • Visualising High-Dimensional Data
  • Scatterplot Matrices and Heatmaps
  • Clustering Techniques
  • Dimensionality Reduction for EDA
  • Identifying Outliers and Anomalies

Module 4: Machine Learning for High-Dimensional Data

  • Supervised Vs Unsupervised Learning
  • Classification and Regression in High Dimensions
  • Ensemble Learning Approaches
  • Regularisation Techniques
  • Handling Imbalanced Data

Module 5: Feature Engineering and Selection Strategies

  • Domain Knowledge and Feature Engineering
  • Recursive Feature Elimination
  • Feature Importance Analysis
  • Dealing with High Correlations
  • Feature Engineering for Specific Domains

Module 6: Advanced Dimension Reduction Techniques

  • Non-Negative Matrix Factorization
  • Independent Component Analysis
  • Manifold Learning
  • Autoencoders and Neural Network-based Dimensionality Reduction
  • Application-Specific Approaches

Module 7: Multivariate Analysis in High Dimensions

  • Multivariate Regression and Analysis of Variance (ANOVA)
  • Canonical Correlation Analysis (CCA)
  • Partial Least Squares (PLS)
  • MANOVA and Multivariate Classification
  • Multivariate Time Series Analysis

Module 8: Big Data and High-Dimensional Data Analysis

  • Challenges of Big Data in High Dimensions
  • Distributed Computing Frameworks
  • Scalable Algorithms for High-Dimensional Data
  • Real-Time Analysis of Streaming High-Dimensional Data

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Who should attend this High-Dimensional Data Analysis Masterclass?

The High-Dimensional Data Analysis Masterclass is tailored for professionals and researchers who work with complex datasets and seek advanced techniques to extract meaningful insights. This course is valuable for a diverse range of individuals, including:

  • Data Scientists
  • Machine Learning Engineers
  • Statisticians
  • Researchers
  • Business Analysts
  • Bioinformaticians
  • Quantitative Analysts

Prerequisites of the High-Dimensional Data Analysis Masterclass

There are no formal prerequisites for the High-Dimensional Data Analysis Masterclass Course. Participants should ideally have a fundamental understanding of data analysis concepts and some experience working with datasets.

 

High-Dimensional Data Analysis Masterclass Course Overview

High-Dimensional indicates that the number of dimensions are staggeringly high so that calculations become very complex, and with high dimensional data, the count of features can beat the number of views. High-dimensional statistics concentrate on data sets in which the quantity of components is similar to or larger than the number of observations. Data Analysis systematically applies statistical and logical methods to illustrate, describe, condense, and evaluate data. It can help organisations to evaluate their ad campaigns, better know their customers, personalise content, create content strategies, and improve products. Every business is using data analytics to increase its performance and improve the bottom line. Therefore, there is high demand for professionals who have in-depth knowledge and skills using Data Analysis. Choosing this course can help you take a wonderful career move, and professionals working in this field can easily demand an impressive salary.

Our 1-day High-Dimensional Data Analysis Masterclass Training course aims to provide delegates with a comprehensive knowledge of data analysis. During this course, delegates will learn about oracle and adaptive compound decision rules for FDR control, classical approaches, statistical methods in eQTL studies, regularised cox regression, combining for adaptation and many more. They will also learn about various regularised methods for the accelerated failure time model and theoretic approach to large-scale multiple testing. Our highly professional trainer with years of experience in teaching such courses will conduct this training course and will help you get a complete understanding of this course.

Course Objectives

  • To understand the concept and challenges of high-dimensional data
  • To apply pre-processing and dimension reduction techniques
  • To conduct exploratory and multivariate data analysis
  • To implement machine learning strategies for complex datasets
  • To utilize advanced feature selection and engineering methods
  • To integrate big data tools for high-dimensional analysis
  • To develop skills for real-time data analysis applications

After attending this training, delegates will be empowered to apply high-dimensional data analysis techniques confidently and effectively. They will be able to identify, clean, and transform high-dimensional data into a more manageable form, use exploratory data analysis to uncover hidden patterns, and apply various machine learning models to predict and classify complex datasets.

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What’s Included in this High-Dimensional Data Analysis Masterclass?

  • World-Class Training Sessions from Experienced Instructors
  • High-Dimensional Data Analysis Certificate
  • Digital Delegate Pack

Why choose us

Our Mississauga venue

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Full IT support

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

Video equipment

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Mississauga is the sixth largest city in Canada. It is in the south of the province of Ontario in the region of peel. The city is estimated to have a population of around 715,000 people. The rapid growth of this city is attributed to its proximity to Toronto. It was originally built as suburb of Toronto. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Mississauga is served by the Peel District School Board, which operates the secular English speaking public schools. There is also a school board that runs the local catholic schools and a board that runs the French speaking schools in the area, one for the secular French schools and one for the catholic French schools. There are a number of schools in the area that offer specialised programs. These include the French immersion schools such as Clarkson Secondary School and Streetsville Secondary School. There are three schools in the areas that off a Regional Arts Program and two that offer a specialist sci-tech program for students who are gifted in these areas. There is also two schools that offer support for those studying for the international baccalaureate plus numerous other programs. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Mississauga is home to one of the three campuses run by the University of Toronto. This university is ranked as the 34th best university in the world and is the second highest ranked Canadian university in the rankings. The campus was established in 1967 and is the universities second largest division. It is home to 12,000 students. They have 15 academic departments and pupils can choose from 148 programs to participate in from 89 areas of study. Students can study both undergraduate and graduate programs on this campus. This campus also has an excellent research environment that has helped the staff and researchers become internationally recognised for their work. The university includes Institutes for Management and Innovation, and Communication, Culture, Information and Technology.

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Address

Robert Speck 2
2 Robert Speck Parkway
Suite 750
Mississauga
Ontario
L4Z 1H8

T: +1 6474932992

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data And Analytics Training | High-Dimensional Data Analysis Masterclass in Mississauga. 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.

Unlock your potential with The Knowledge Academy's Big Data And Analytics Training | High-Dimensional Data Analysis Masterclass in Mississauga, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

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

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Big Data And Analytics Training | High-Dimensional Data Analysis Masterclass in Mississauga FAQs

Multidimensional analysis is the interpretation of dimension objects designed in meaningful hierarchies. The multidimensional analysis lets operators recognise data from different viewpoints. A scale is an ordered sequence of similar dimensions.
In this High-Dimensional Data Analysis Masterclass course, there are no formal prerequisites. However, a basic understanding of Data Analysis gives more benefit to delegates.
This High-Dimensional Data Analysis Masterclass course provided by The Knowledge Academy is ideal for anyone who wants to learn and get knowledge about Data Analysis. However, it is more beneficial for: • Data Analysts • Data Scientists
Xplenty, IBM Cognos, Micro Strategy, Palo OLAP Server, Apache Kylin, icCube, Pentaho BI, Mondrian, OBIEE, and etc., are the best tools for multidimensional data analysis.
Support Vector Machine (SVM) was mainly meant to create a highly generalisable classifier for double classification. SVM transforms the unique feature into a higher-dimensional space based on a defined user core function.
This course is [ 1 ] day(s)
Benefits of data and analytics for positive business outcomes are proactivity and anticipating needs, mitigating risk and fraud, delivering relevant products, personalisation and service, improving the customer experience, etc.
This High-Dimensional Data Analysis Masterclass training course aims to provide you with a comprehensive knowledge of Data Analysis. During this course, you will learn about classical approaches, bayesian and stochastic search, regularisation, sufficient variable selection, combining for adaptation, statistical models, and many more.
The training fees for High-Dimensional Data Analysis Masterclassin Mississauga starts from CAD3395
The Knowledge Academy is the Leading global training provider for High-Dimensional Data Analysis Masterclass.
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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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