Overview
This course on Big Data Analytics with PySpark, Tableau Desktop, and MongoDB equips you with the essential tools and techniques for managing, analyzing, and visualizing large datasets. Designed for aspiring data analysts and professionals, this course provides in-depth training on PySpark for handling big data processes, MongoDB for NoSQL database management, and Tableau Desktop for data visualization. You’ll begin with the fundamentals of big data and progress to mastering data processing with PySpark, working with complex datasets in MongoDB, and designing interactive dashboards in Tableau. By the end of the course, you’ll be able to seamlessly integrate these skills to derive insights from vast datasets, making data-driven decisions effectively. The comprehensive course design combines theoretical knowledge with hands-on exercises, ensuring you’re prepared for real-world data challenges in industries like finance, healthcare, and technology.
Learning Outcomes
By the end of this course, you will be able to:
- Gain proficiency in PySpark for data processing and analysis.
- Understand MongoDB for NoSQL database management.
- Master Tableau Desktop for visualizing and interpreting data.
- Develop skills to handle and analyze large datasets.
- Learn to integrate data across platforms and extract actionable insights.
- Create interactive dashboards and visualizations.
- Understand data-driven decision-making processes.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is This course for?
This course is designed for aspiring data analysts, data scientists, and IT professionals looking to expand their big data and visualization skills. It is also suitable for business analysts and developers who want to work with data-driven decision-making tools.
Requirements
Basic knowledge of Python and data analysis is recommended. Familiarity with SQL databases will be beneficial, but it’s not required. Access to a computer with internet connection, along with basic software installations, will be necessary for hands-on exercises.
Career Path
- Data Analyst
- Big Data Engineer
- Business Intelligence Analyst
- Data Scientist
- Data Visualization Specialist
Course Curriculum
- 6 sections
- 26 lectures
- 4 hours, 17 minutes total length
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Introduction 00:10:00
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Python Installation 00:03:00
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Installing Apache Spark 00:12:00
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Installing Java (Optional) 00:05:00
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Testing Apache Spark Installation01 00:06:00
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Installing MongoDB 00:04:00
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Installing NoSQL Booster for MongoDB 00:07:00
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Integrating PySpark with Jupyter Notebook 00:05:00
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Data Extraction 00:19:00
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Data Transformation 00:15:00
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Loading Data into MongoDB 00:13:00
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Data Pre-processing 00:19:00
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Building the Predictive Model 00:12:00
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Creating the Prediction Dataset 00:08:00
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Installing Visual Studio Code 00:03:00
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Creating the PySpark ETL Script 00:24:00
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Creating the Machine Learning Script 00:27:00
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Installing Tableau 00:02:00
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Installing MongoDB ODBC Drivers 00:05:00
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Creating a System DSN for MongoDB 00:05:00
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Loading the Data Sources 00:06:00
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Creating a Geo Map 00:13:00
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Creating a Bar Chart 00:11:00
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Creating a Magnitude Chart 00:13:00
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Creating a Table Plot 00:04:00
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Creating a Dashboard 00:06:00
Frequently Bought Together
Python for Data Visualization: The Complete Masterclass
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4.7 course rating - 18 reviews
£12.99
£419
This course includes:
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Duration:4 hours, 17 minutes
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Access:1 year access
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Units:26
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Level:Intermediate
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CPD Points:10
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Certificate:Yes
