Lectures related to Linking IoT sensors and cloud

Covers the analysis of KMnO4 concentrations using data from a CSV file.

Explores the analysis of velocity data in biomechanics using Excel for visualization and interpretation.

Covers best practices and guidelines for big data, including data lakes, architecture, challenges, and technologies like Hadoop and Hive.

Headline Analysis: Language Impact & Success

Explores the influence of language on headline success through real-world data analysis and statistical testing.

Digital Transformation: Solutions and Data

Explores digital transformation opportunities, big data, analytics, and technology innovations in business and research.

Regulations: Figures of Regulations

Covers the analysis of ECG heart rate data and respiratory flow measurements using Excel.

Introduction to Spark Runtime Architecture

Introduces Apache Spark, covering its architecture, RDDs, transformations, actions, fault tolerance, deployment options, and practical exercises in Jupyter notebooks.

Introduction to Data Stream Processing: Concepts and Applications

Covers the principles of data stream processing and its applications in real-time data analysis.

Data Science Essentials

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.

Data Wrangling Techniques: HBase and Hive Integration

Covers data wrangling techniques using HBase and Hive, focusing on integration and practical applications.

Introduction to Data Stream Processing

Covers the fundamentals of data stream processing, including real-time insights, industry applications, and practical exercises on Kafka and Spark Streaming.

Data Analysis to AI and ML, Social Media

Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.

Taxi Trajectory Management

Covers the implementation of an information system for managing taxi trajectories, including filtering data, creating trajectory models, and comparing performance.

Data Journalism: Techniques and Examples

Delves into the fundamentals of data journalism and showcases its impact through real-world examples from The Pudding and The Guardian.

Introduction to Spark Runtime Architecture

Covers the Spark runtime architecture, including RDDs, transformations, actions, and caching for performance optimization.

Big Data: Best Practices and Guidelines

Covers best practices and guidelines for big data, including data lakes, typical architecture, challenges, and technologies used to address them.

LabVIEW: Data Processing and Visualization Log in to Mediaspace to watch this video

Introduces LabVIEW for data processing and visualization, covering topics like waveform synchronization and color lookup tables.

Data Preparation for Machine Learning: Categorical and Numerical Data Log in to Mediaspace to watch this video

Explores data preparation for machine learning, emphasizing categorical to numerical conversion and effective data visualization techniques.

Machine Learning Basics Log in to Mediaspace to watch this video

Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.

Digital History Projects: Design and Analysis Log in to Mediaspace to watch this video

Covers digital history projects, social relationships in research, data preprocessing challenges, and network analysis tools.