Big Data Training in Los Angeles, CA

R Programming Big Data

Our R language training course is specially designed to provide the required knowledge and skills to become a successful data analytics professional. Our course covers basic concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc.

Python Big Data

Our training course in Python will help you to understand the popularly used programming language for Data Science. In this Python programming training, you will be exposed to both the basic and advanced concepts of Python like machine learning, Deep Learning, Hadoop streaming, Map Reduce in Python, and work with packages like Scikit and Scipy.

Access Hadoop Data using Hive

This course introduces Hive, a data warehousing infrastructure tool for querying and managing large datasets within the Hadoop ecosystem. Hive simplifies data analysis by providing a high-level query language (HiveQL) similar to SQL, built on top of Hadoop’s MapReduce framework. It offers an efficient way to perform data warehousing tasks and manage structured data at scale.

Hadoop Fundamentals for Beginners

Enroll in Hadoop fundamentals course to gain knowledge using the environmental setup procedures, Hadoop Distributed File System Operations, Command reference, and Streaming. Demand for Hadoop in the market opens up the job opportunities for Hadoop professionals. This course syllabus was created by Big Data Hadoop experts and taught by professional trainers.

Tableau Big Data

Data Visualization is one of the key aspects of the data analysis. It is very important to present the data in an understandable and visually appealing format. Data visualization is an important skill that Data Scientists have to excel in to communicate effectively with their clients.

Big Data Introduction Course and Certification

The Big Data Introduction course provides a comprehensive understanding of handling vast and complex data sets that traditional tools can't manage. Learn about the essential concepts, characteristics, and applications of Big Data, including automated algorithms and the latest technologies for efficient data processing and analysis.

Big Data Fundamentals

The Big Data Fundamentals course introduces participants to the essentials of managing and processing large, complex data sets that traditional tools cannot handle. With a focus on key technologies like Hadoop and Spark, this course provides hands-on experience in dealing with both structured and unstructured data, understanding Big Data concepts, and utilizing advanced data processing frameworks.

Introduction to Spark Fundamentals

This introductory course on Apache Spark focuses on harnessing the power of Spark for accelerated data processing and analytics. Spark is a powerful framework that enhances Hadoop’s capabilities by providing in-memory cluster computing, which speeds up iterative algorithms, streaming, and interactive queries. Unlike Hadoop, Spark can run on various platforms including Hadoop YARN, Mesos, and in the cloud.

Introduction to Hadoop

This course provides a comprehensive introduction to Apache Hadoop, an open-source framework designed to handle large-scale data processing across clustered systems. Hadoop is essential for working with Big Data, leveraging its core components—Hadoop Distributed File System (HDFS), Hadoop YARN, Hadoop MapReduce, and Hadoop Common—to efficiently process and manage data. This course covers the fundamental aspects of Hadoop and its ecosystem, providing a solid foundation for further exploration in data science

Deep Learning With TensorFlow training

Data Analysis training

Hadoop Spark training

Data Modeling training

Machine Learning training

Data Science training

Hadoop Developer training

Deep Learning training