Upcoming Workshops
Advanced Predictive Analytics for Decision Making
Wednesday, March 6–Thursday, March 7
8:30 a.m.–4:30 p.m.
$695 ($100 discount if registered by February 27)
Prerequisites: Basic programming knowledge of R and Python; basic statistics
Predictive analytics encompasses a variety of statistical techniques from modeling, machine learning, data mining and others that analyze current and historical facts to make predictions about future events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions.
Topics covered in this two-day workshop include:
- Bias-Variance tradeoffs and overfitting
- Cross-validation and subset selection techniques
- Regularization, ridge, lasso, and ElasticNet regressors
- Different ensemble techniques including AdaBoost, XGBoost, and GLM
- Case studies to demonstrate classifier performance on different datasets
Big Data Technologies Training: Apache Spark and Kafka
Wednesday, April 24–Thursday, April 25
8:30 a.m.–4:30 p.m.
$695 ($100 discount if registered by April 17)
Prerequisites: Experience with Java
Receive an overview of Apache Spark, its computing paradigm, spark ecosystem, and installation to getting started. We will focus on how we can use Apache Spark and Kafka in tandem to collect data from social media platforms like Twitter and utilize it for decision making.
Topics include:
- Introduction to Docker
- Map of Big Data infrastructure
- RDD (the core notion of Spark), datasets, and dataframes
- Scala programming
- Spark SQL queries
- Spark streaming
- Kafka producer and consumer models
- Integrating Spark and Kafka