- Description
- Curriculum
- Reviews
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4Understanding the role of data in business decision-making
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5Types of data: quantitative vs. qualitative
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6Overview of data sources: sales, customer feedback, market trends
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7Tools and technologies for data management
In the modern business landscape, effective data management is crucial for making informed decisions, optimizing operations, and gaining a competitive edge. Data management involves the collection, storage, processing, and analysis of data to ensure that it is accurate, accessible, and actionable. There are various tools and technologies available that can help businesses manage their data efficiently. Below is an overview of some of the most commonly used tools and technologies in data management.
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8QUIZ: WEEK 1
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9Identifying key data sources relevant to your business
Understanding where your business data comes from is a critical first step in harnessing the power of that data to drive informed decision-making. Identifying the right data sources helps ensure that the information you gather is relevant, accurate, and useful for achieving your business goals. Below, we explore some of the key data sources that are typically relevant to most businesses, with examples of how they can be used.
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10Methods for collecting data: surveys, POS systems, online tools
Collecting data is a crucial step for any business that wants to make informed decisions based on actual insights rather than assumptions. By gathering data effectively, you can understand customer behavior, track sales trends, and improve overall business performance. Here are some common methods for collecting data, including surveys, POS systems, and online tools, with a focus on how each can be utilized in a small business context.
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11Organizing and storing data effectively
Organizing and storing data effectively is crucial for any business, especially as the volume of data grows. Proper data management ensures that you can quickly access, analyze, and use your data to make informed decisions. This lesson will cover the best practices for organizing and storing data, focusing on methods that are particularly useful for small businesses.
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12Introduction to databases and spreadsheets (Excel/Google Sheets)
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13QUIZ: WEEK 2
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14Basic data analysis concepts and techniques
Data analysis is the process of examining, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. Whether you're working with a small dataset or large-scale data, understanding the basic concepts and techniques of data analysis is crucial. In this lesson, we'll explore some fundamental data analysis concepts and techniques that are essential for beginners.
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15Using spreadsheets for data analysis: formulas, pivot tables, charts
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16Introduction to data cleaning and preprocessing
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17Identifying trends and patterns in your data
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18QUIZ: WEEK 3