Hands-on statistical predictive modeling / Packt ; [written by] Jesus Salcedo.

Format:

Video

Author/Creator:

Salcedo, Jesus, author, speaker.

Contributor:

Packt Publishing, production company.

Series:

Academic Video Online

Language:

English

Subjects (All):

Statistics--Data processing.

Statistics.

Data mining.

Mathematical statistics.

Genre:

Instructional films.

Physical Description:

1 online resource (184 minutes)

Place of Publication:

Birmingham, England : PACKT Publishing, 2018.

Language Note:

In English.

System Details:

video file

Summary:

Data Science at your fingertips: build statistical predictive models to make predictions based on data. About This Video: Make your data earn its keep by developing efficient models to predict future results accurately. Master the data science forces that drive your company and make the most of these forthcoming opportunities. Apply statistical predictive modeling to help your organization make better business decisions. In Detail: Predicting future trends can be the difference between profit and loss for competitive enterprises. Most businesses state that poor data quality leads to bad decision-making. Further, the predictive analytics market is expected to grow by 22% by 2020. As this technology hits the mainstream, now is the time to consider which predictive modeling techniques will produce the best results for your organization. Hands-On Statistical Predictive Modeling gives you everything you need to bring the power of statistical predictive models into your statistical or data mining work. However, without the right predictive modeling techniques, analytics projects are unlikely to provide actionable insights. This course will show you how these core algorithms underpin the accuracy and relevance of statistical results and drive competitive differentiation. You will be able to anticipate customer behavior, take steps to cultivate customer loyalty, and capture a greater share of the market. You will be aware of the data science forces shaping your future economy and will have mastered how best to use and seize these coming opportunities. By the end of this course, you will be able to elevate your company's analytics know-how to enhance its decision-making skills, cost efficiency, and profitability. You will also be able to put these skills to use in your upcoming statistical and data mining projects. All data files for this course are available on GitHub.

Participant:

Presenter: Jesus Salcedo.

Notes:

Title from resource description page (viewed June 07, 2019).

OCLC:

1061288989