Big Data Analytics with PySpark Tableau Desktop and MongoDB

(8 students)

This course includes:

  • list-favs4 hours, 17 minutes
  • list-favsCPD Accreditation
  • list-favs27 units
  • list-favsFull lifetime access
  • list-favsAccess on mobile and TV
  • list-favsCertificate of completion
course plublisher
Course Cloud

Key Concepts Covered by This Free Course:

  • Understand the basic concepts of Big Data Analytics using PySpark, Tableau Desktop, and MongoDB.
  • Set up and configure the necessary software and tools for Big Data Analytics.
  • Apply PySpark and MongoDB to preprocess and manipulate large datasets.
  • Build machine learning models using PySpark and MLlib.
  • Create data pipeline scripts for automated data processing.
  • Visualize data using Tableau Desktop for effective communication and decision-making.

Course Overview

Are you interested in Big Data Analytics and want to learn how to use PySpark, Tableau Desktop, and MongoDB? Then this course is for you! In this course, you will learn the fundamental concepts of Big Data Analytics and how to set up and configure the necessary software and tools. You will gain practical skills in data processing using PySpark and MongoDB and machine learning with PySpark and MLlib.

Moreover, you will learn how to create data pipeline scripts for automated data processing and use Tableau Desktop for effective data visualization. By the end of this course, you will be able to apply your knowledge of Big Data Analytics to real-world scenarios and communicate data insights effectively.

Popular keywords and search terms: Big Data Analytics, PySpark, MongoDB, Tableau Desktop, machine learning, data processing, data visualization.

Course Benefits

By taking this course, you will gain a comprehensive understanding of Big Data Analytics and practical skills in using PySpark, MongoDB, and Tableau Desktop. You will learn how to preprocess and manipulate large datasets, build machine learning models, and visualize data for effective communication and decision-making.

This course will also equip you with the knowledge and skills necessary to apply Big Data Analytics to real-world scenarios and add value to any organization. With the growing demand for Big Data Analytics professionals, this course will enhance your career prospects and provide you with a competitive edge in the job market.

Career Path

  • Big Data Engineer – responsible for designing and maintaining the organization’s Big Data infrastructure.
  • Data Analyst – responsible for analyzing and interpreting large datasets to identify trends and insights.
  • Business Intelligence Developer – responsible for designing and implementing data visualization and reporting solutions.
  • Data Scientist – responsible for building and deploying machine learning models to derive insights from data.
  • Solutions Architect – responsible for designing and implementing scalable and reliable Big Data solutions.
  • Database Administrator – responsible for managing and maintaining the organization’s databases, including Big Data solutions.

Course content

  • video Introduction

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About Course Publisher

Course Cloud
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