Learn Algebra The Easy Way!
What you'll learn
Learn the probability and basic techniques of data analysis and inference.
Gain a deeper understanding of the underlying concepts.
Artificial Intelligence: Reinforcement Learning in Python
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.
Statistics for Data Science and Business Analysis
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.
Artificial Intelligence & Machine Learning
What you'll learn
Be ready to apply your newly-acquired knowledge in your current organization.
Make informed strategic decisions for yourself and your business.
Learn Big Data: The Hadoop Ecosystem Masterclass
What you'll learn
Learn how to use the most popular software in the Big Data industry at the moment
Using batch processing as well as real-time processing.
Give you enough background to be able to talk about real problems and solutions with experts in the industry.
Mastering Data Modeling Fundamentals
What you'll learn
Ready to begin working on real-world data modeling projects,
Expanded responsibilities as part of an existing role
Find a new position involving data modeling.
The Creative Journey of Branding
What you'll learn
Can create a value proposition for a brand
Learn how to produce meaningful and engaging content.
Develop a complete creative pitch.
Examine Branding activities through the lens of Customer Experience.
Survey analysis to Gain Marketing Insights
What you'll learn
From one-off customer satisfaction surveys to brand tracking surveys that are administering on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.
In Analytic Methods for Survey Data, statistical learners will become familiar with established methods for converting survey responses to insights that can support marketing decisions.
Techniques discussed include factor analytics, cluster analysis, discriminant analysis and multi-dimensional scaling.