Overview
Understand the fundamentals of Spark’s architecture and its distributed computing capabilities, Learn to write and optimize Spark SQL queries for efficient data processing, Master the creation and manipulation of DataFrames, a core component of Spark, Learn to read data from different file formats such as CSV and Parquet, Develop skills in filtering, sorting, and aggregating data to extract meaningful insights, Learn to process and analyze streaming data for real-time insights, Explore the capabilities of Spark’s MLlib for machine learning, Learn to create and fine-tune models using pipelines and transformers for predictive analytics
IT professionals interested in big data and analytics, Aspiring Data Scientists, Aspiring Data Analysts, Aspiring Machine Learning Engineers, Business Analysts, Software Engineers, Students and Academics, Researchers, Anyone Interested in Big Data
You should know how to write and run Python code, Basic understanding of Python syntax and concepts is necessary, Understanding SQL (Structured Query Language) is important, You should know how to create and manage tables, transform data, and run queries
Unlock the power of big data with Apache Spark!
In this course, you’ll learn how to use Apache Spark with Python to work with data.
We’ll start with the basics and move up to advanced projects and machine learning.
Whether you’re just starting or already know some Python, this course will teach you step-by-step how to process and analyze big data.
What You’ll Learn:
Use PySpark’s DataFrame: Learn to organize and work with data.
Store Data Efficiently: Use formats like Parquet to store data quickly.
Use SQL in PySpark: Work with data using SQL, just like with DataFrames.
Connect PySpark with Python Tools: Dig deeper into data with Python’s data tools.
Machine Learning with PySpark’s MLlib: Work on big projects using machine learning.
Real-World Examples: Learn by doing with practical examples.
Handle Large Data Sets: Understand how to manage big data easily.
Solve Real-World Problems: Apply Spark to real-life data challenges.
Build Confidence in PySpark: Get better at big data processing.
Manage and Analyze Data: Gain skills for both work and personal projects.
Prepare for Data Jobs: Build skills for jobs in tech, finance, and healthcare.
By the end of this course, you’ll have a solid foundation in Spark, ready to tackle real-world data challenges.
VCloudMate Solutions
VCloudMate Solutions is an innovative provider of skill development programs specializing in Cloud - Azure, AWS, and GCP with specializations into Databricks, Data Engg, Machine Learning, DevOps and MLOps
Our courses offer hands-on training and practical knowledge to help professionals thrive in today's competitive tech landscape
Whether you're looking to master data management, streamline software development, or harness the potential of machine learning in the cloud, our courses are designed to meet your needs.