Big Data Analytics bootcamp

We offer Big Data Analytics Bootcamp to equip participants with the skills and knowledge necessary to excel in the field of big data analytics. The program focuses on developing expertise in data processing, analysis, and deriving meaningful insights from large-scale datasets. It is designed for individuals who are interested in pursuing a career in big data analytics, data engineering, or related fields. It is suitable for beginners with a basic understanding of data concepts, as well as professionals seeking to enhance their big data analytics skills. We offer structured Big Data Analytics Courses to ensure each participant gets the right learning path to be qualified Big Data practitioners. The participants will:

  • Develop a solid understanding of big data analytics concepts, tools, and methodologies.
  • Acquire proficiency in data acquisition, storage, and preprocessing for large-scale datasets.
  • Gain expertise in exploratory data analysis and extracting insights from big data.
  • Learn to leverage popular big data analytics tools and platforms.
  • Apply machine learning algorithms to solve big data problems.
  • Develop real-time data analytics skills for instant insights.
  • Gain knowledge of advanced analytics techniques for predictive modeling and anomaly detection.
  • Master the art of data visualization and effective communication of big data insights.
  • Apply acquired skills through hands-on exercises, projects, and case studies.
  • Receive a certificate of completion, validating the acquired skills and knowledge in big data analytics.

Here is a list of several topics for Big Data Analytics Bootcamp that you can pursue:

Fundamentals of Big Data Analytics Course
What you'll learn:
  • Understand the fundamental concepts of big data analytics
  • Understand big data processing techniques and their applications in business/domain contexts
  • Understand your big data for big data modeling
  • Implement workflow of big data analytics using Hadoop and Apache Spark
Course Outlines:
  • Introduction
  • Introduction to Big Data
  • Big Data Management Systems
  • Big Data Modeling
  • Big Data Technologies and Ecosystem
  • Implement Big Data Analytics Using Hadoop and Apache Spark
  • Capstone Project
Tools : Hadoop, Apache Spark
Language : Scala
Course Type : In-house Training
Duration : 3-4 days
Certificate : Course Certificate
Term and Condition : The specific syllabus, audience, schedule, duration, and outcomes can be customized based on the user requirements and goals of the course.
Internet of Things Foundations Course
What you'll learn:
  • Understand the fundamental concepts of IoT
  • Understand IoT Architecture and their applications in business/domain contexts
  • Choose how to prepare your IoT data from multi sensor and perform analysis
  • Implement workflow of IoT data analytics using AWS IoT Analytics
Course Outlines:
  • Introduction
  • Foundations of the Internet of Things (IoT)
  • IoT Architecture and enabling technologies
  • IoT Data Acquisition & Multi Sensor Platforms
  • IoT Data Communication: Networks and Cloud
  • IoT Data Analytics & Visualization
  • Capstone Project
Tools : AWS IoT Analytics
Language : -
Course Type : In-house Training
Duration : 3-4 days
Certificate : Course Certificate
Term and Condition : The specific syllabus, audience, schedule, duration, and outcomes can be customized based on the user requirements and goals of the course.
Cloud Computing Course
What you'll learn:
  • Understand Cloud Computing Concepts and Technologies
  • Apply the learning to Cloud Services: IaaS, SaaS, and PaaS
  • Understand IT roadmap and strategy for cloud computing model
  • Understand Cloud-native applications
  • Implement data pipeline for AWS Platform
  • Implement Analytics Dashboard using AWS Platform
Course Outlines:
  • Introduction
  • Foundations of Cloud Computing Platforms
  • IT roadmap and strategy for cloud computing platform
  • Build a cloud architecture for data ingestion, storage, and analysis
  • Implement cloud-native applications
  • Test and build applications
  • Build Dashboards using AWS Platform
  • Capstone Project
Tools : AWS Platform
Language : -
Course Type : In-house Training
Duration : 3-4 days
Certificate : Course Certificate
Term and Condition : The specific syllabus, audience, schedule, duration, and outcomes can be customized based on the user requirements and goals of the course.
Cloudera Big Data Analytics Course
What you'll learn:
  • Understand the fundamental feature of Cloudera Platform
  • Apply the learning to build cloud infrastructure for data ingestion, storage, and analysis
  • Understand your dataset for Cloudera Platform
  • Implement workflow of cloud computing process
  • Implement data pipeline for Cloudera Platform
  • Implement Analytics Dashboard using Cloudera Platform
Course Outlines:
  • Introduction
  • Fundamental feature of the Cloudera Platform
  • Build a cloud infrastructure for data ingestion, storage, and analysis
  • Implement Cloudera Platform for Big Data Analytics
  • Build Analytics Dashboards using Cloudera Platform
  • Capstone Project
Tools : Cloudera Data Platform
Language : -
Course Type : In-house Training
Duration : 3-4 days
Certificate : Course Certificate
Term and Condition : The specific syllabus, audience, schedule, duration, and outcomes can be customized based on the user requirements and goals of the course.