Big Data Analytics with PySpark Tableau Desktop and MongoDB
Big Data Analytics with PySpark Tableau Desktop and MongoDB
- Interactive video lectures by industry experts
- Developed by qualified first aid professionals
- Instant e-certificate and hard copy dispatch by next working day
- Fully online, interactive course with audio voiceover
- Self paced learning and laptop, tablet, smartphone friendly
- 24/7 Learning Assistance
- Discounts on bulk purchases
Main Course Features:
- Introduction to PySpark for distributed data processing and analysis.
- Hands-on tutorials on using Tableau Desktop for data visualization and dashboard creation.
- Exploration of MongoDB for storing and querying large-scale, unstructured data.
- Practical exercises and projects to apply PySpark, Tableau Desktop, and MongoDB in real-world scenarios.
- Guidance on integrating PySpark with MongoDB for seamless data processing and analysis.
- Techniques for optimizing PySpark jobs and improving performance in big data analytics.
- Best practices for designing interactive and insightful dashboards using Tableau Desktop.
- Access to a curated set of resources, including datasets, code samples, and case studies, for continuous learning.
Learning Outcomes
- Develop proficiency in using PySpark for distributed data processing and analysis.
- Master the art of creating interactive and insightful visualizations with Tableau Desktop.
- Gain practical experience in working with MongoDB for storing and querying large-scale datasets.
- Learn how to integrate PySpark with MongoDB for seamless data processing and analysis.
- Acquire techniques for optimizing PySpark jobs and improving performance in big data analytics.
- Enhance your data visualization skills and create compelling dashboards using Tableau Desktop.
- Apply the knowledge and skills gained in this course to tackle real-world big data challenges.
- Advance your career prospects by mastering the tools and technologies used in big data analytics and visualization.
Who Should Take This Course
- Data scientists, analysts, and engineers interested in mastering big data analytics with PySpark, Tableau, and MongoDB.
- IT professionals seeking to enhance their skills in big data processing, visualization, and NoSQL database management.
- Business intelligence professionals looking to leverage advanced analytics tools for data-driven decision-making.
- Students and researchers aspiring to work with big data technologies and gain hands-on experience in real-world projects.
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post. All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.
Assessment
At the end of the course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Course Curriculum
Introduction 
00:10:00
Python Installation 00:03:00 Installing Third Party Libraries 00:03:00 Installing Apache Spark 00:12:00 Installing Java (Optional) 00:05:00 Testing Apache Spark Installation 00:06:00 Installing MongoDB 00:04:00 Installing NoSQL Booster for MongoDB 00:07:00
Integrating PySpark with Jupyter Notebook 00:05:00 Data Extraction 00:19:00 Data Transformation 00:15:00 Loading Data into MongoDB 00:13:00
Data Pre-processing 00:19:00 Building the Predictive Model 00:12:00 Creating the Prediction Dataset 00:08:00
Installing Visual Studio Code 00:03:00 Creating the PySpark ETL Script 00:24:00 Creating the Machine Learning Script 00:27:00
Installing Tableau 00:02:00 Installing MongoDB ODBC Drivers 00:05:00 Creating a System DSN for MongoDB 00:05:00 Loading the Data Sources 00:06:00 Creating a Geo Map 00:13:00 Creating a Bar Chart 00:11:00 Creating a Magnitude Chart 00:13:00 Creating a Table Plot 00:04:00 Creating a Dashboard 00:06:00
Source Code and Notebook 00:00:00
Student Ratings & Reviews
