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Fundamentals of Managing and using Data for Business Intelligence
Fundamentals of Managing and using Data for Business Intelligence
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Fundamentals of Managing and using Data for Business Intelligence
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Introductory
Best selling courses

This course introduces you to the application of business intelligence (BI) in making viable financial and strategic decisions. Learn about the roles of managers and the reasons why managers need IT support. You will explore data management, data mining and the mechanics of data analysis. If you are a business analyst or a small business owner or entrepreneur and want to enhance your ability to make important decisions, this course is for you.

Discuss how business intelligence can be applied in starting a business
Identify the three types of system business intelligence applications used for analyzing data
Explain the reasons why managers need IT support
Describe management and decision-making
Explain BI development and the types of dashboards used in business intelligence (BI)
Describe data management and data warehousing
Identify the common mistakes made when designing a dashboard
Describe the characteristics of a data warehouse
Discuss the subsets of the data warehouse
Explain the data warehouse development approaches
Discuss data mining and its stepping stones
Identify the stages involved in data mining
Fundamentals of Certified Data Management Professional (CDMP)
Fundamentals of Certified Data Management Professional (CDMP)
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Primary
Fundamentals of Certified Data Management Professional (CDMP)
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0 Person
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00:00:00
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Introductory
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Information Technology is a very vast field. It has a lot of subsequent branches, and data management is one of them. Data management professionals are widely sought after across the world. They are must haves for any business and organization dealing with large amounts of crucial information. For these professionals, one of the ways to demonstrate their expertise in data management is having a CDMP certification from DAMA International.

Identify the entities that need data warehousing the most
Describe the profession of data management and practices associated with it
Indicate the three-pronged strategy to implement data warehousing in organizations
State the advantages and disadvantages of having a data warehouse
List the stages of data warehousing with their main attributes
Outline the differences between the three major types of data warehouses
Explain the most important aspects of data management
such as governance
quality
and collection
Recall the prevalent best practices for data management
such as cataloging
documentation
and data storage
Discuss the concept of data warehousing and its working briefly
Mastering Data Analysis Using Microsoft Excel
Mastering Data Analysis Using Microsoft Excel
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Mastering Data Analysis Using Microsoft Excel
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Introductory
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This course is an invaluable opportunity to gain insight into Data analysis and Microsoft Excel. The knowledge gained will give you the ability to make sense of your company’s data. In addition, you will have the competence to assist your company and managers in making informed decisions based on your data analysis. Discover the different Microsoft Excel formulas and tables that can help you reach your potential.

Apply proficiency in navigating the Excel interface
Discuss how to input and format data efficiently using cells and ranges
Apply skills in using basic formulas and functions for calculations
Combine techniques for cleaning and preprocessing raw data
including handling missing values and outliers
Analyze statistical functions for data analysis
such as AVERAGE
COUNT
SUM
and more
Illustrate various types of charts and graphs to visually represent data
Explain advanced Excel functions such as VLOOKUP & HLOOKUP
Identify PivotTables for dynamic data analysis
Outline techniques for data filtering
sorting
and grouping to extract meaningful information
Outline techniques for data filtering
sorting
and grouping to extract meaningful information
Diploma in Using Python for Data Science
Diploma in Using Python for Data Science
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Diploma in Using Python for Data Science
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Introductory
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Do you have a sound knowledge of Python and would like to start a promising career in data science? With this free online data science certification, you will learn how to apply Python concepts and compound data structures to data science through many different techniques. The content includes understanding numerical Python data analysis, statistics and probability, along with much more to set you on a path of data management success.

Define data science
Explain Python conditional statements
Discuss machine learning
Outline hypothesis testing
Compare data science to machine learning
Discuss Pandas data analysis