Explore Big Data and Business Intelligence for the modern workplace with hands-on training. Learn to gather, clean, and analyze data effectively!
This course is like your buddy in the world of Big Data and Business Intelligence, helping you get your hands dirty with real projects and learn the ropes from scratch. It's super chill and easy to follow!
Everything You Need To Know About Big Data and Business Intelligence for the Modern Workplace
This course is broken up into four modules.
The first module will prepare participants to begin business intelligence projects at their own firm. The focus of the course is a hands-on approach to gathering and cleaning data. 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 on “Big Data” datasets containing anywhere from tens of thousands to millions of observations. While the tools used are applicable for smaller datasets of a few hundred data points, the focus is on larger datasets. The course also helps participants with no experience in building datasets to start from scratch. 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 will prepare participants to begin business intelligence projects at their own firm. 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 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 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 will prepare participants to begin running data analysis on databases. Both univariate and multivariate analysis will be covered with a particular focus on regression analysis. 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 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 fourth and final module will prepare participants to review, analyze, and make decisions based on results from business intelligence projects. The course will cover reading and interpreting regression analysis. The course will also give participants the skills to critically analyze and identify potential limitations on analysis. The course will also cover predicting changes in business outcomes based on analysis and identifying the level of certainty or confidence around those predictions. This paves the way for future detailed courses in predictive analytics.
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
7 Lectures
6 Lectures
6 Lectures
7 Lectures
6 Lectures
Michael is an assistant professor of finance at Fairfield University in Connecticut. He holds a PhD in finance from the University of Tennessee and his work has been quoted in the Wall Street Journal, CNN, Nasdaq.com, Bloomberg, Reuters, and many other outlets. Michael is the President of Morning Investments, a consulting firm headquartered in Connecticut. He consults extensively with organizations...
clear and concise. the only mention I would have is related to the order of the sections - start with gathering data
gREAT TUTOR
O k
This course was very helpful - thank you. As newcomer to the world of big data and analysis, I appreciated the way the instructor built upon each lesson, summarizing the key points from previous modules before moving ahead into subsequent models. The .xls worksheet and instructions (about the data analysis add-ins) were also helpful and I intend to continue taking additional courses.
tiene algĂşn mĂłdulo repetido, y algunos conceptos no están bien detallados o explicados y hay que tirar de google o la wikipedia. Se centra mucho más en Business Intellegence que en Big Data, más en conceptos estadĂsticos que en procesamiento.
Very poor presentation - just slides with plain text. No documents that can be downloaded for later study
Code snippets without enough context and applicability that come up a few times.
Content has a financial orientation, not applicable for other types of business intelligence.
cursusinhoud (titels) in overzicht strookt niet met reele inhoud: de overzicht titels zijn nietszeggend (part1... part6).
Didactisch moeilijk om in te schatten waar een bepaald deel over zal handelen. terwijl die titels net de navigatie zouden moeten vereenvoudigen.
Inhoud is teveel geent op US situatie...
Teveel ratio's en theorie...in HDST 3 - part 3
HDST 3-part1&2 is pure herhaling van vorige topics
Ook verderop veel herhaling....
There is a complete module repeated, some slides are also repeated and too much focus on sales
Se repiten explicaciones con idénticas diapositivas de una sección del curso a otra
Your email address will not be published. Required fields are marked *
Carlo V.
The course has a financial orientation; it is understandable even for a non-mother tongue speaker.
Very basic slides with text and a few screenshots.
Some concepts are repeated several times.
I was not particularly satisfied.