Data Science for Business
If a trend is identified using big data, how can it be applied to solving complex day-to-day problems? Are there implications of using this data? This learning path addresses the principles of data science to explore data privacy, regression analysis, text analytics, data visualization and predictive modeling to promote topical awareness.
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Data Science for Business - Level 2 Badge
4.5 out of 5
Beginner
Data Science for Business - Level 2
Data Science Business Courses
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Beginner Course Machine Learning
Digital Analytics & Regression
This course uses a case study approach to take you through the end to end process of identifying a business objective, designing the model to address it, sourcing the data and ultimately arriving at the insights. When you complete this course, you can apply these methods and principles in a variety of contexts, with big, medium or small data.
4.43.18k+ Enrolled6 Hours -
Advanced Course Data Science
Data Privacy Fundamentals
Learn about the fundamentals of Data Privacy.
4.614.7k+ Enrolled3 Hours -
Beginner Course
Predictive Modeling Fundamentals I
Predictive Analytics brings together advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, entity analytics, optimization, real-time scoring, machine learning and more. IBM SPSS Modeler puts these capabilities into the hands of business users, data scientists, and developers.
4.45.19k+ Enrolled6 Hours