Data Analytics and Analysis mind maps
116 mind maps by 110 users · Page 1 of 3
This GoConqr page gathers mind maps on data analysis stages, data quality, supply chains and more. University students and professional candidates can use them to practise analysis concepts, while teachers can find material for revision. There are over 100 user-made mind maps spanning university and professional-level study. Choose a map to start exploring.
Select topic
- Types of Data Analytics13
- Data Analysis Process13
- Data Management and Quality6
- Big Data16
- Data Analysis Tools15
- Exploratory Data Analysis and Statistical Methods12
- Data Visualization and Interpretation8
- Data Mining and Predictive Analytics13
- Business Analytics and Decision Making20
- Manufacturing and Supply Chain Analytics7
- Credit Scoring and Risk Modeling7
- Web Analytics8
Mind maps
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Data analysis Practical part -
Data Analysis Checklist
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PRESENTATIONS
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Data Analysis
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Clarifying Data Analitics Concepts
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STAGES OF DATA ANALYSIS
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Business Analytics and Data and Statistical Methods
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Clarifying Data Analytics Concepts for Industrial Engineering
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Clarifying Data Analytics Concepts for Industrial Engineering
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Business Analytics y Data and Statistical Methods
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GA
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Data analytics
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Analyzing the Digital Divide Using Open Data: Techniques and Methodologies -
BIG DATA
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Supply chain analytics
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Case study in data analytics
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Clarifying Data Analytics Concepts for Industrial Engineering
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Clarifying Data Analytics Concepts for I. E.
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Business Analytics
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Data Analytics -
Roadmap of SPSS Analysis for Undergraduate Research
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Big Data Integration
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DATA ANALYTICS
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Business Analytics
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Credit Scoring
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Business Analytics
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Clarifying Data Analytics Concepts for IE
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Deloitte’s Data Analytics
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Big Data
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Concept Map: Relationship between Business Analytics and Data & Statistical Methods
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Elements of business analytics
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Stages of Data Analysis
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Analytics - Analysis of data
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Issues in data analysis
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Credit Scoring - Case study in data analytics
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Business Analytics
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Business Analytics
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LO3.5 DATA ANALYSIS TOOLS
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Business Analytics
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Business Analytics and Statistical Methods
More Data Analytics and Analysis resources
About data analytics and analysis mind maps
GoConqr OriginalExplore data analytics and analysis mind maps
These maps connect topics across the Data Analytics and Analysis unit. Data Analytics introduces concepts including big data, data mining and performance monitoring. Supply chain analytics sets out descriptive, predictive and prescriptive approaches, while Issues in data analysis brings together questions of trust, bias and data quality.
Revise with a map
Start with Data Analytics if you want a broad view of the concepts before choosing a narrower topic. Follow its branches, then explain the connections in your own words. For a practical perspective, compare it with the map on importing, cleaning and transforming data.
If you want to check your recall after studying a map, switch to a quiz on the unit page. Flashcards there offer another way to revisit terms. You could also make a mind map of your own to organise the ideas you want to review.
Frequently asked questions
Which mind map should I start with?
Start with Data Analytics for an overview of concepts such as big data, data mining and performance monitoring. Its branches give you several directions to follow. If you are interested in a specific application, Supply chain analytics is another starting point, with descriptive, predictive and prescriptive approaches.
What do the mind maps cover?
The maps cover data analysis stages, practical data preparation, data quality and applications such as supply chain analytics and credit scoring. There is also a roadmap of SPSS analysis for undergraduate research. You can choose a broad concepts map or focus on a particular process or application.
Are these mind maps free to use?
Yes. Every resource listed here is free to open and study without an account. The maps were made by GoConqr users. A free account also lets you create your own mind maps, flashcards, notes and quizzes, and save your quiz scores when you use quizzes.