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2. Analytical skill - Wikipedia

   en.wikipedia.org/wiki/Analytical_skill

   It is a tool to discover and decipher useful information for business decision-making. It is imperative in inferring information from data and adhering to a conclusion or decision from that data. Data analysis can stem from past or future data. Data analysis is an analytical skill, commonly adopted in business, as it allows organisations to ...

3. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

4. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data analysis typically involves working with smaller, structured datasets to answer specific questions or solve specific problems. This can involve tasks such as data cleaning, data visualization, and exploratory data analysis to gain insights into the data and develop hypotheses about relationships between variables. Data analysts typically ...

5. Data literacy - Wikipedia

   en.wikipedia.org/wiki/Data_literacy

   Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data. [1]

6. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

7. Corporate Finance Institute - Wikipedia

   en.wikipedia.org/wiki/Corporate_Finance_Institute

   Students must earn a minimum passing grade of 80% in each course assessment and pass the final exam to complete the requirements of the program and to receive a certificate of completion. [4] [5] Curriculum topic distributions are as follows: [6] Financial Modeling (25%) Finance Theory and Math (23%) Excel Skills (17%) Business Valuation (10%)

8. AOL Mail

   mail.aol.com/d?reason=invalid_cred

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

9. List of datasets for machine-learning research - Wikipedia

   en.wikipedia.org/wiki/List_of_datasets_for...

   Students’ Feedback. Comments 16,000 ... Center for Applied Internet Data Analysis ... The GitHub repository of the project contains the data to download.