Data science framework with key analytical techniques
Develop the feeling of joie-de-vivre with our Data Science Framework With Key Analytical Techniques. Bring about carefree celebration.
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PowerPoint presentation slides
Presenting this set of slides with name Data Science Framework With Key Analytical Techniques. The topics discussed in these slides are Application, Data Making And Analytic, Data Strategic Technologies, Technical Skills, Fun Demented Knowledge. This is a completely editable PowerPoint presentation and is available for immediate download. Download now and impress your audience.
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Content of this Powerpoint Presentation
Description:
The image is a PowerPoint slide titled "Data Science Framework with Key Analytical Techniques," providing an organized overview of various concepts and methods utilized in data science. The slide is structured into several rows, each labeled with a different category, and corresponding columns filled with specific data science terms or tools.
From top to bottom, the categories and their respective terms are:
1. Application:
Including 'Model Evolution', 'Predictive Analysis', 'Business Intelligence', and 'Decision Making'.
2. Data Making and Analytic:
Contains 'Exploratory Data Analysis', 'Unstructured Data Processing', 'Narrative Analysis', 'Regression Analysis', and a placeholder for additional text.
3. Data Strategic Technologies:
With terms like 'Big Data Warehousing', 'NoSQL', 'RDBMS' (Relational Database Management Systems).
4. Technical Skills:
Highlighting 'Data Processing Tools', 'SQL/Database/Coding', 'MapReduce', and 'Data Visualization'.
Probability and Statistics, Machine Learning and AI, Quantitative Analysis, and Data Intuition are listed under a final category that seems to be incorrectly labeled as "Fun demented
knowledge" due to a typographical error; it likely intends to mention "Fundamental knowledge" or a similar term.
The slide is a comprehensive tool for showcasing the multifaceted skills and technologies that form the basis of data science work. It indicates that it's fully editable, meaning the listed terms can be tailored to the specific focus or expertise of the presentation's audience.
Use Cases:
This framework is essential in industries that leverage data for strategic decisions, innovation, and efficiency:
1. Technology:
Use: Driving innovation through data analytics
Presenter: Data Scientist
Audience: Product Development Teams
2. Healthcare:
Use: Enhancing patient care through predictive analytics
Presenter: Healthcare Data Analyst
Audience: Clinical Researchers
3. Finance:
Use: Risk assessment and financial forecasting
Presenter: Financial Analyst
Audience: Investment Managers
4. Retail:
Use: Customer behavior analysis for market strategy
Presenter: Retail Analyst
Audience: Marketing Teams
5. E-commerce:
Use: Personalization and recommendation engine development
Presenter: Data Engineer
Audience: E-commerce Strategists
6. Manufacturing:
Use: Process optimization through data analysis
Presenter: Operations Analyst
Audience: Supply Chain Managers
7. Energy:
Use: Predictive maintenance and resource optimization
Presenter: Data Analysis Manager
Audience: Energy Sector Executives
Data science framework with key analytical techniques with all 2 slides:
Bring about carefree celebration with our Data Science Framework With Key Analytical Techniques. Develop the feeling of joie-de-vivre.
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