Prof. Frenzel#KB Probability Theory — Part 5- The Central Limit TheoremCentral Limit Theorem explained: From sample sizes to practical limits, see why it’s essential in statistical analysis and business.Nov 10, 2024Nov 10, 2024
Prof. Frenzel#KB Probability Theory — Part 4- Common Continuous Probability DistributionsUse Uniform and Exponential distributions to solve real-world business problems with probability theory basics.Oct 31, 2024Oct 31, 2024
Prof. Frenzel#KB Probability Theory — Part 3- Continuous Probability DistributionsUnderstanding continuous probability distributions: Learn the basics of the normal distribution, confidence intervals, and apply in ExcelOct 27, 2024Oct 27, 2024
Prof. Frenzel#KB Probability Theory — Part 2- Common Discrete Probability DistributionsLearn how Poisson & Geometric distributions help businesses predict customer flow, manage events, and improve decision-making strategiesOct 16, 2024Oct 16, 2024
Prof. Frenzel#KB Probability Theory — Part 1- Introduction to Probability DistributionsFrom Concept to Spreadsheet: Probability Distributions for Business. Learn to use Excel for calculating & charting probability…Oct 14, 2024Oct 14, 2024
Prof. FrenzelWhat Every Business Analyst Must Know — Part6: Balancing Quality and PragmatismPerfectionism vs. Pragmatism: Explore the pitfalls of perfectionism and how to maintain high standards without sacrificing efficiency.Aug 30, 2024Aug 30, 2024
Prof. FrenzelWhat Every Business Analyst Must Know — Part5: AutomationAutomation vs. Manual Processes: Find out when to automate and when to rely on manual methods in data analytics.Aug 5, 20242Aug 5, 20242
Prof. Frenzel#KB Introduction to Linear Optimization — Part 2What happens when a small change in input parameters disrupts a carefully calculated optimal solution?Jul 1, 2024Jul 1, 2024
Prof. Frenzel#KB Risk Analysis — Part 2- Simulation ModelsLearn about simulation model types and uses. Replicate a case study for a stock portfolio yourself!Jun 21, 2024Jun 21, 2024
Prof. Frenzel#KB Risk Analysis — Part 1- IntroductionLearn how to enhance predictive modeling accuracy by identifying and addressing various types of risks and uncertainties.Jun 19, 2024Jun 19, 2024
Prof. FrenzelWhat Every Business Analyst Must Know — Part4: Statistical SignificanceDiscover how statistical significance helps analysts differentiate meaningful trends from random noise, leading to evidence-based…May 27, 20243May 27, 20243
Prof. Frenzel#KB Introduction to Linear OptimizationHow can businesses ensure that every decision leads to the optimal use of resources?Apr 25, 2024Apr 25, 2024
Prof. Frenzel#KB Time-Series Forecasting — Part 1: FundamentalsThis series will focus mainly on forecasting models, demonstrating their application in predicting future values.Apr 16, 2024Apr 16, 2024
Prof. FrenzelWhat Every Business Analyst Must Know — Part3: Understanding MulticollinearityThe ability to refine and adapt models based on an understanding of multicollinearity ultimately leads to better decision-making.Apr 14, 2024Apr 14, 2024
Prof. FrenzelWhat Every Business Analyst Must Know — Part2: Dealing With ComplexityBasic principles every analyst should understand and utilize when dealing with large datasets.Apr 6, 20241Apr 6, 20241
Prof. FrenzelWhat Every Business Analyst Must Know — Part1: Statistical MeasuresMeasures of Central Tendency, Variability, Quartiles, Z-Scores, and as always: Correlation does not imply Causation!Feb 4, 202411Feb 4, 202411
Prof. FrenzelHierarchical Approach to Problem Identification in AnalyticsAs young professionals, it is imperative to approach data analysis with a structured and analytical mindset, breaking down the process.Jan 30, 2024Jan 30, 2024
Prof. FrenzelCritical Skills for Effective Data AnalysisAs the data field continues to evolve at a breakneck pace, this is my attempt to provide an updated skillset for new & young professionals.Jan 26, 20243Jan 26, 20243
Prof. Frenzel#KB Time-Series Analysis — Part 4 — Autoregressive ModelsGear up for an in-depth exploration of Autoregressive Models, the benchmark for advanced time series forecasting.Nov 26, 2023Nov 26, 2023
Prof. Frenzel#KB Ensemble Learning — Part 3 — BoostingImagine if we could train machines to learn from their errors and improve over time.Nov 25, 2023Nov 25, 2023