you'll is What learn Describe the purpose and uses of Business Intelligence & Big Data in the business world today Identify the terminology used in Big Data and quantitative analysis programs in general Build a dataset based on gathering data from multiple sources and merging those databases into a single unified set Clean a database through automated methods like winsorizing and evaluation of univariate metrics to determine accuracy of inputs Identify key risk issues involved in Big Data and the role that information governance plays..
What you'll learn Describe the purpose and uses of Business Intelligence & Big Data in the business world today Identify the terminology used in Big Data and quantitative analysis programs in general Build a dataset based on gathering data from multiple sources and merging those databases into a single unified set Clean a database through automated methods like winsorizing and evaluation of univariate metrics to determine accuracy of inputs Identify key risk issues involved in Big Data and the role that information governance plays.
Description This course is is broken up into four modules..
Description This course is broken up into four modules.
The first module is will prepare participants to begin business intelligence projects at their own firm..
The first module will prepare participants to begin business intelligence projects at their own firm.
The focus of the course is is a hands-on approach to gathering and cleaning data..
The focus of the course is a hands-on approach to gathering and cleaning data.
this course, is After taking participants will be ready to create their own databases or oversee the creation of databases for their firm..
After taking this course, participants will be ready to create their own databases or oversee the creation of databases for their firm.
The focus in this course is is on “Big Data” datasets containing anywhere from tens of thousands to millions of observations..
The focus in this course is on “Big Data” datasets containing anywhere from tens of thousands to millions of observations.
the tools is While used are applicable for smaller datasets of a few hundred data points, the focus is on larger datasets..
While the tools used are applicable for smaller datasets of a few hundred data points, the focus is on larger datasets.
The course is also helps participants with no experience in building datasets to start from scratch..
The course also helps participants with no experience in building datasets to start from scratch.
the course is Finally, is excellent for users of Salesforce, Tableau, Oracle, IBM, and other BI software packages since it helps viewers see through the “black box” to the underlying mechanics of Business Intelligence practices..
Finally, the course is excellent for users of Salesforce, Tableau, Oracle, IBM, and other BI software packages since it helps viewers see through the “black box” to the underlying mechanics of Business Intelligence practices.
The second module is will prepare participants to begin business intelligence projects at their own firm..
The second module will prepare participants to begin business intelligence projects at their own firm.
The focus of the course is is a hands-on approach to structuring data including generating new variables based on comparative and relative metrics..
The focus of the course is a hands-on approach to structuring data including generating new variables based on comparative and relative metrics.
The structuring of these variables is will be done in Excel, SAS, and Stata to give viewers a sense of familiarity with a variety of different software package structures..
The structuring of these variables will be done in Excel, SAS, and Stata to give viewers a sense of familiarity with a variety of different software package structures.
The focus in this course is will be on financial data though the techniques are also applicable to more general forms of data like that used in marketing or management analyses..
The focus in this course will be on financial data though the techniques are also applicable to more general forms of data like that used in marketing or management analyses.
The third module is will prepare participants to begin running data analysis on databases..
The third module will prepare participants to begin running data analysis on databases.
analysis is Both univariate and multivariate will be covered with a particular focus on regression analysis..
Both univariate and multivariate analysis will be covered with a particular focus on regression analysis.
Regression analysis is will be done in Excel, SAS, and Stata to give viewers a sense of familiarity with a variety of different software package structures..
Regression analysis will be done in Excel, SAS, and Stata to give viewers a sense of familiarity with a variety of different software package structures.
The focus in this course is will be on financial data though the techniques are also applicable to more general forms of data like that used in marketing or management analyses..
The focus in this course will be on financial data though the techniques are also applicable to more general forms of data like that used in marketing or management analyses.
final module is The fourth and will prepare participants to review, analyze, and make decisions based on results from business intelligence projects..
The fourth and final module will prepare participants to review, analyze, and make decisions based on results from business intelligence projects.
The course is will cover reading and interpreting regression analysis..
The course will cover reading and interpreting regression analysis.
The course is will also give participants the skills to critically analyze and identify potential limitations on analysis..
The course will also give participants the skills to critically analyze and identify potential limitations on analysis.
The course is will also cover predicting changes in business outcomes based on analysis and identifying the level of certainty or confidence around those predictions..
The course will also cover predicting changes in business outcomes based on analysis and identifying the level of certainty or confidence around those predictions.
the way is This paves for future detailed courses in predictive analytics..
This paves the way for future detailed courses in predictive analytics.
this course is Who is for: This course will provide an introduction to the practices and procedures involved with Business Intelligence and applied Big Data analysis..
Who this course is for: This course will provide an introduction to the practices and procedures involved with Business Intelligence and applied Big Data analysis.
Participants is will learn what Big Data is and why it is being discussed as a revolutionary approach to many aspects of business and finance..
Participants will learn what Big Data is and why it is being discussed as a revolutionary approach to many aspects of business and finance.
Participants is will get hands-on experience with gathering, merging, and cleaning Big Data databases..
Participants will get hands-on experience with gathering, merging, and cleaning Big Data databases.
The program is will also entail critical evaluation of existing datasets to check for potential problems or concerns over data integrity..
The program will also entail critical evaluation of existing datasets to check for potential problems or concerns over data integrity.
The course is will also include a discussion of information governance..
The course will also include a discussion of information governance.
6 sections • 35 lectures • 4h 16m total length Introduction is to Big Data and Business Intelligence Data Collection and Cleaning Structuring Data Fundamentals of Data Analysis Using Data Analysis Exercises and Cases Get Big Data & Business Intelligence - Michael McDonald, Only Price $19 Tag: Big Data & Business Intelligence - Michael McDonald Review..
6 sections • 35 lectures • 4h 16m total length Introduction to Big Data and Business Intelligence Data Collection and Cleaning Structuring Data Fundamentals of Data Analysis Using Data Analysis Exercises and Cases Get Big Data & Business Intelligence - Michael McDonald, Only Price $19 Tag: Big Data & Business Intelligence - Michael McDonald Review.