Operation Manager'S Essential Data Skills

Leverage power of data to make impactful decisions in operations

What you'll learn

Understand types of Data in operations

Apply Central tendency and Variation concept to Operations

Meaningful comparison of two data sets

Identify trends and patterns in operations data

Requirements

Basic excel skills

Description

In today’s fast-paced business environment, operations managers must make informed decisions based on data, not just intuition. This course is designed to equip you with essential data analysis skills, enabling you to extract valuable insights, optimize processes, and drive performance improvements.You’ll begin by understanding the different types of data and the crucial distinction between data and metrics, ensuring you focus on what truly matters. We’ll explore various data sources within an organization, helping you identify where to find reliable information for analysis.Next, you’ll master summary statistics, a fundamental tool for quickly interpreting data and identifying key performance trends. You’ll learn how to recognize trends and seasonality, allowing you to anticipate fluctuations, improve planning, and make strategic decisions. Understanding correlations will help you uncover relationships between operational variables, while learning to detect outliers ensures you don’t overlook potential issues or misleading data points.A major focus will be on data quality, teaching you how to validate and clean data to prevent errors that could lead to incorrect conclusions. Finally, we’ll cover statistical differences between data sets, a key skill for evaluating process improvements and business strategies.Through practical examples and hands-on exercises, this course empowers operations managers to make confident, data-backed decisions—enhancing efficiency, reducing risks, and driving success in their organizations.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Data Vs Metric

Lecture 3 Data Sources, collection methods and validation

Section 2: Exploratory Data Analysis

Lecture 4 Exploration of 'continuous data

Lecture 5 Exploration of Discrete Data

Section 3: Data Analysis

Lecture 6 Identify and handle outliers

Lecture 7 Trend Analysis

Lecture 8 Correlation between datasets

Lecture 9 Statistically different data sets

Operations managers managing teams who want to make data based decisions