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  • 1
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (34 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Fighting churn
    DDC: 006.312
    Keywords: Quantitative research Marketing ; Customer relations Management ; Data processing ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this video, Carl Gold explains module number 3: Churn and Behavior. The objective of this milestone is: - Create visualizations that show whether and by how much each metric is related to customer churn. When you are done, you should be able to answer questions like the following: * Which customer metric has the greatest impact on churn? For metrics behaviors that most customers participate in, at what level of the metric is the customer relatively healthy in terms of their engagement with the service?.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Fighting churn
    DDC: 006.312
    Keywords: Quantitative research Marketing ; Customer relations Management ; Data processing ; Business forecasting ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In forecasting churn, logistic regression can help identify customers who are at risk and those who are most likely to engage and make new purchases in the future.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 10, 2022)
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  • 3
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.54
    Keywords: Microsoft Excel (Computer file) ; Electronic spreadsheets ; Corporations Finance ; Data processing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Learn financial modeling in Excel and build a complete financial model from scratch. Whatever your educational or professional background--engineering, finance, or law--it can be difficult to break into the competitive field of infrastructure project finance and public-private partnerships (PPPs). You need to learn a new set of skills and technical knowledge if you hope to get past the interview and into the industry. We can relate to your anguish since we have experienced it firsthand.We developed this course to help young professionals succeed. This is not your typical course; instead, it is the result of thousands of hours of research, teaching, and practice in the classroom, workplace, and interview room. We have extensive experience in the project financing industry, gained while working for a variety of companies, and are pleased to share it with you. You will get all the insider knowledge you'd normally have to pay thousands of dollars for in a company training session. The project finance sector looks complicated from a distance; in this course we bring you in close so you can see how a key building block--the financial model--gets built.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 4
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (48 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Fighting churn
    DDC: 006.312
    Keywords: Quantitative research Marketing ; Customer relations Management ; Data processing ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this video, Carl Gold explains module number 3: Create a customer dataset. The objective of this milestone is: - Create a snapshot of all of the current customers and their metrics and save it in a file. We call this the current customer dataset. The dataset is a table containing one customer per row and one metric per column. Datasets are explained in Chapter 4 of Fighting Churn with Data. - Create a quality assurance summary of the current customer dataset and review the results.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 28 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Fighting churn
    DDC: 006.312
    Keywords: Quantitative research Marketing ; Customer relations Management ; Data processing ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this video, Carl Gold goes through the milestone number 1: Customer Behavior: Load the event data into PostgreSQL and run analytics, which is a part of his liveProject: Fighting Churn with Manning's liveBook Data. The objective of this milestone is: - Load the event data into a database. - Run analytics to understand the events and check for any anomalies or bad data.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Fighting churn
    DDC: 006.312
    Keywords: Quantitative research Marketing ; Customer relations Management ; Data processing ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In the second video of the series, Carl Gold demonstrates module number 2: Extracting a Customer Dataset. The objective of this milestone is: - Having identified customers who were retained and who churned, look at their metrics to figure out what behaviors lead to retention and which lead to churn. To do this, you must save the customer data into a concise dataset in a CSV file. - Create a quality-assurance summary of the customer dataset and review the results.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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  • 7
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (43 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Fighting churn
    DDC: 006.312
    Keywords: Quantitative research Marketing ; Customer relations Management ; Data processing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: How to test new customer metrics and why it is a key part of any churn analysis.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 10, 2022)
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  • 8
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 12 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Fighting churn
    DDC: 006.312
    Keywords: Quantitative research Marketing ; Customer relations Management ; Data processing ; Customer relations ; Management ; Data processing ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In this video, Carl Gold explains module number 4: Feature Engineering. The objective of this milestone is: - Your boss at Manning looks at the results and thinks they're really good. But they want you to look into a few more things to see if different views of the customer help you understand churn. - Your boss suggests the following additional customer metrics that they want you to create and see how they relate to churn using the techniques from the previous milestones. * The total number of customer events in the last 90 days * The number of distinct products the customer used in the last 90 days * The total number of actions related to browsing free content * Total number of actions related to enhanced reading features * The percentage of actions that include reading an owned book * The number of downloads the customer makes per unique product.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 12, 2022)
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.312
    Keywords: Quantitative research Marketing ; Forecasting ; Customer relations Management ; Data processing ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Make a predictive XGBoost model for churn and generate predictions for an out-of-sample dataset.
    Note: Online resource; title from title details screen (O'Reilly, viewed July 25, 2022)
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : Manning Publications
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 10 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Fighting churn
    DDC: 006.312
    Keywords: Quantitative research Marketing ; Customer relations Management ; Data processing ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: In the second video of the series, Carl Gold demonstrates module number 2: Calculate Basic Customer Metrics. The objective of this milestone is: - Calculate a set of basic customer metrics, saving them in the database. - Run analytics to understand the metrics and check for any anomalies or bad data.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 30, 2022)
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