Mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using Python and R, the preferred language for statistical processing.
Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science […]Know more
Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice on R CloudLab by implementing various real-life, industry-based projects in the domains […]Know more
A technology that has emerged as the frontrunner for handling Big Data processing is Hadoop. This efficient platform aids in storing, handling and retrieving enormous amounts of data in a variety of applications while also helping in deep analytics. As more and more companies are embracing Hadoop, the demand for Hadoop Developers is growing. KnowledgeHut’s […]Know more