Google Analytics 4 Tutorial for Beginners
Comprehensive tutorial on Google Analytics 4 setup, interface, reports, and tracking. Covers account creation, data streams, standard reports, explorations, event tracking, and next steps for beginners.
Online Reinforcement Learning and Regret
Explore online learning in reinforcement learning, focusing on regret analysis under Markovian dynamics, function approximation, and structural challenges in unknown model scenarios.
Drive a Data Culture with Power BI and Microsoft Teams
Discover how Power BI and Microsoft Teams integrate to enhance data-driven decision-making, enabling easy access to insights, collaborative analysis, and fostering a data-centric culture in connected workplaces.
How to Bend the Rules - Algorithms and Data in Modern Life
Hannah Fry explores how data-driven algorithms have permeated our lives, controlling many aspects without our awareness. She delves into the impact of these algorithms on society and human behavior.
Connecting Communities and Business to Create Data-Driven Decisions
Explore data-driven decision-making in open source communities, focusing on analytical tools, impact measurement, and community health metrics for effective project management.
Data Analytics Democratization: How ING Data Analytics Platform Bootstraps New Data-Driven Products
Explore ING's Data Analytics Platform, enabling internal teams to access curated data and tools for validating business ideas in a secure environment, democratizing advanced analytics capabilities.
Machine Learning and Apache Spark: A Dynamic Duo
Explore how Apache Spark and machine learning revolutionize industries, enabling data-driven decisions and innovative products. Learn about top use cases, market dynamics, and IBM's commitment to Spark.
Translating Data into Effective Decisions - Data Driven Decision Making - Data-Backed Decisions
Learn a systematic process to leverage machine learning for improved decision-making, focusing on actionable metrics, key levers, and embracing uncertainty to drive better business outcomes.
Data Science for Business - Trends and Applications in Japan and the US
データサイエンスと機械学習の企業活用について、日米の専門家がトレンドや課題を議論。顧客理解や競争優位性獲得のための実践的な洞察を提供。
From BI to Predictive Analytics: Uncovering Insights in Accident Data - Big Data Analytics Tokyo 2017
Explore predictive analytics' evolution from BI to competitive advantage. Learn to uncover insights from accident data, assess fatality factors, and apply advanced analytics in your organization.
Protecting Player Welfare - Analytics in Sports Performance and Contracts
Explore the role of analytics in player welfare, from on-field performance to contract negotiations, with insights from industry experts.
Manage Your CEO: How to Avoid Opinion-Based Product Prioritization
Learn data-driven decision-making strategies for app development from industry experts. Discover how top developers use experimentation and analytics to prioritize features, reduce risks, and achieve business success.
How AI Can Build the Life You Want
Discover how AI can be leveraged to enhance personal and professional growth, optimize decision-making, and create opportunities for success in various aspects of life.
Digital Transformation and the Quest to Enhance Consumer Experience
Executives discuss leveraging digital transformation to create innovative consumer experiences, sharing insights on strategies and technologies for seamless customer connections.
How HR Teams Can Create Happier Workplaces
Explore HR's evolution from administrative to strategic, focusing on employee experience, technology, and modern theories. Learn how HR can create happier workplaces and drive organizational success.
Creating an ML Model as a Business User
Validate use cases, build models, and develop business cases for ML deployment as a non-technical user.
How to Evaluate Your Project's Success and User Adoption
Discover methods to gather quantitative and qualitative data about your project's usage, adoption, and value. Learn to leverage insights for better decision-making in outreach, roadmap planning, and goal setting.
The Role of Convexity in Data-Driven Decision-Making
Explore data-driven decision-making through distributionally robust optimization, focusing on computation, statistics, and real-time implementation aspects. Gain insights into online optimization applications.
Accelerating Big Data - Modern Trends, Enable Product Analytics
Explore modern trends in big data acceleration and enable effective product analytics for improved decision-making and business insights.
Team Roles in a Machine Learning Project and Project Flow
Develop context for data science projects, understand team roles, and build a data-driven culture. Learn about machine learning techniques and their appropriate applications.
The Algorithm is Not Enough: UX Meets Data Science
Explore the synergy between UX and data science, learning how to integrate user-centric design with data-driven insights for more effective product development.