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High-Dimensional Data Analysis Masterclass Overview
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
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.
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
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led High-Dimensional Data Analysis Masterclass. 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.
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With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's High-Dimensional Data Analysis Masterclass, 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.
What our customers are saying
High-Dimensional Data Analysis Masterclass 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 Hong Kong starts from HKD16995
The Knowledge Academy is the Leading global training provider for High-Dimensional Data Analysis Masterclass.
Please see our Big Data and Analytics Training courses available in Hong Kong
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Many delivery methods
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Resources are included for a comprehensive learning experience.
"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"
Joshua Davies, Thames Water
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High-Dimensional Data Analysis Masterclass in Hong Kong
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