If you want to become a data scientist, this Introduction to Data Science is the course to get you startetd. Using open source tools, it covers all the concepts necessary to move through the entire data science pipeline, and whether you intend to continue working with open source tools, or later opt for proprietary services, it will give you the foundation you need to assess which options best suit your needs.
Attend this Data Science training in one of three formats - live, instructor-led, blended on-demand/instructor-led, or train your whole team by bringing this course to your facility.
You Will Learn How To:
- Translate business questions into Machine Learning problems to understand what your data is telling you
- Explore and analyze data from the Web, Word Documents, Email, Twitter feeds, NoSQL stores, Relational Databases and more, for patterns and trends relevant to your business
- Build Decision Tree, Logistic Regression and Naïve Bayes classifiers to make predictions about your customers’ future behaviors as well as other business critical events
- Use K-Means and Hierarchical Clustering algorithms to more effectively segment your customer market or to discover outliers in your data
- Discover hidden customer behaviors from Association Rules and Build Recommendation Engines based on behavioral patterns
- Use biologically-inspired Neural Networks to learn from observational data as humans do
- Investigate relationships and flows between people, computers and other connected entities using Social Network Analysis
-
Introduction to Data Science Training Course Description
This Data Science, Machine Learning & AI training course includes 29 hours of Instructor-Led Training (ILT) or Virtual Instructor-Led Training (VILT) presented by a real-world data science expert. Attend in-person or online through our AnyWare virtual training platform.
-
Recommended Experience
There's no expectations regarding specific platforms except basic familiarity with a Windows environment.
-
Who Should Attend this Data Science Training
It’s designed for beginners, technical and non-technical.