Course Overview

Every data analyst is familiar with distributed data processing technologies. If you’re in the profession of data analysis, you must be able to see various queries in the data set. But often the data sets are too huge and the local machines are unable to handle them. This is where Spark Technology can help in data processing.

Through the course, students will learn how to use the PySpark module present in Python. Other than this, they’ll also use Google Colab for applying queries to website-related datasets. In this course, the datasets used will have CSV files. They will be able to make on query, and the results will be gained using Matplotlib.

Learning Outcomes

• Google collab Learn how to use the Google Colab platform for large data research projects and distributed data processing.
• Data Analysis Use diverse queries to get valuable information from enormous datasets that are beyond the capabilities of local machines.
• Python Programming Use the PySpark module and distributed computing concepts to improve your Python programming abilities for big data scenarios.
• PySpark SQL You’ll learn how to use PySpark to create and run SQL queries on datasets in CSV files for scalable data processing.
• Visualization Skills: You’ll also use Matplotlib to visualize your results and present the insights you got from large-scale data analysis.

Requirements

• Basic knowledge of data science.
• A computer or laptop with internet connectivity.
• A flexible work schedule to dedicate to your studies.

Advantages of Data Analysis Using Pyspark Course

Enroll Free

Career in Big Data:

If you are even thinking about a data analyst role, you need to have distributed data processing skills. They are mandatory if you work with enterprise-level datasets.

Cloud-Based Learning:

Google Collab gives you instant access to distributed computing resources. So, you don’t need to worry about setups.

Time - Efficient:

We don’t ask for a big commitment. By dedicating just 1.5 hours of your time, you can learn important PySpark skills in depth and how to apply them.

Industry Standard:

We will teach you how to use PySpark and Spark technology—an industry-standard platform widely adopted by leading IT companies to process and analyze massive volumes of data.

Application of Skills:

Once you complete the course, you’ll be able to apply learning right away. You’ll know how to use your distributed computing abilities to analyse massive datasets.