Key Concepts Covered by This Free Course
- Understand the basic concepts of Big Data Analytics using PySpark, Power BI, 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 Power BI for effective communication and decision-making.
Course OverviewAre you interested in mastering Big Data Analytics using PySpark, Power BI, and MongoDB? This course is designed for professionals like you who want to learn the skills required to analyze and visualize Big Data effectively. The course is comprehensive, covering the basics of Big Data Analytics and machine learning, to advanced topics like data processing, data pipelines, and visualization. You will learn how to set up and configure the necessary software and tools for Big Data Analytics. Additionally, you will gain hands-on experience with PySpark and MongoDB for preprocessing and manipulating large datasets. You will also build machine learning models using PySpark and MLlib. Moreover, this course will help you create data pipeline scripts for automated data processing and use Power BI for effective data visualization. By the end of the 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, Power BI, MongoDB, machine learning, data processing, data visualization.
Course BenefitsThis course will equip you with the knowledge and skills required to become a successful Big Data Analytics professional. You will gain practical skills in using PySpark, Power BI, and MongoDB for data processing and analysis. Additionally, you will learn how to build machine learning models and create data pipelines for automated data processing. Moreover, this course will help you enhance your data visualization skills using Power BI for effective communication and decision-making. By the end of this course, you will be able to apply your skills to real-world scenarios, which will boost your career prospects.
- 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.
Installing Apache Spark
Installing Java (Optional)
Testing Apache Spark Installation
Installing NoSQL Booster for MongoDB
Integrating PySpark with Jupyter Notebook
Loading Data into MongoDB
Building the Predictive Model
Creating the Prediction Dataset
Installing Visual Studio Code
Creating the PySpark ETL Script
Creating the Machine Learning Script
Installing MongoDB ODBC Drivers
Creating a System DSN for MongoDB
Loading the Data Sources
Creating a Geo Map
Creating a Bar Chart
Creating a Magnitude Chart
Creating a Table Plot
Creating a Dashboard
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