Course Overview

The data analyst of every genre must be familiar with the technologies associated with distributed data processing. Being in the profession of data analysis, one must be able to see various queries in the data set. This will help in getting useful information on it. But often the data sets are too huge and the local machines are unable to handle them. This is why knowledge on data processing with the help of Spark Technology comes in help. Through the course, students will be able to work with the Pyspark module present in Python. Other than this, the use of Google Collab will be offered. This step will help in applying queries to the dataset that is related to websites. In this course, the datasets used will have CSV files. These will be made on query and the results will be gained using Matplotlib.

What you'll learn

• Google collab
• Data Analysis
• Python Programming
• PySpark SQL
• Learn about techniques of safety in the utility industry in approximately 1.5 hours.

Requirements

• Basic knowledge of data science.
• A computer or laptop with internet connectivity.
• Flexible work schedule.

AccessTo Career Resources with Data Analysis Using Pyspark Course

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Enhanced Employability:

An outstanding Data Analysis Using Pyspark Program that increases your chances of landing the best jobs.

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

Skill Validation:

Robust validation of data analysis skills confirms that you can complete all related tasks.

Networking Opportunities:

Managing Data Analysis Using Pyspark courses provide ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.