In this course, implement analytics in R or python programming. Clean data at a raw level and help to create advanced machine learning algorithms that covers both supervised and unsupervised learning. Learn and practice on various concepts of data science in a structured manner and see for yourself how to interpret results on various data sets. Grow advanced analysis and visualization abilities. Our Classroom session provide pure practical learning path.
Learn how to build effective data visualizations and communicate with various stakeholders.
Learn the entire data science process from running pipelines, transforming data, building models, and deploying solutions to the cloud.
Design experiments and analyze statistical test results. Build recommendation systems.