To acquire expertise in Python and prepare for the Cloudera Hadoop and Spark Developer certification exam (CCA175).
28 Dec, 2024
Course Commencement Date
Through the Edureka Python Spark Certification Training using PySpark, you will develop an extensive understanding of Python. In addition, the certification training course familiarizes you with the fundamentals of Hadoop and Big Data.
The Python Spark Certification using PySpark certification course primarily prepares you for the CCA Spark and Hadoop Developer Exam; you will gain core skills and knowledge of Spark and the Spark Ecosystem. The course curriculum also covers Spark SQL and Spark Resilient Distributed Datasets for streamlined processing.
Moreover, the programme touches down at Flume, Spark Streaming, Kafka, and other Spark Ecosystem components. With the accessibility of Edureka Cloud Lab, you can look forward to gaining practical experience in the field.
In fact, the course curriculum is crafted by industry professionals to ensure the certification exam training is in-line with the latest trends and industry use cases. When you complete the Python Spark Certification Training using PySpark programme satisfactorily, Edureka will certify you as an Apache Spark and Scala Developer using Python.
The Python Spark Certification Training Using PySpark course fee has two components: the course fee and GST. You can pay the fee in either a lump sum or zero-interest EMI.
Python Spark Certification Training Using PySpark Fee Details
*EMI Starts at Rs. 6,599 / month
Yes
Edureka
The following professionals can benefit from taking the Edureka Python Spark Certification Training Using PySpark programme:
There are no specific prerequisites for the Python Spark Certification Training Using PySpark course by Edureka. However, prior experience with Python Programming and SQL can be useful but not necessary.
Furthermore, candidates need to complete a certification project. The project consists of implementing the concepts that they learned in the training course. Students have two weeks from the date of course completion to mail the project to the support team of Edureka. Experts at Edureka will evaluate the project based on performance and provide a grade and certification.
Certificate Qualifying Details
Edureka will certify candidates as Apache Spark and Scala Developer Using Python if you complete the project successfully.
The Edureka Python Spark Certification Training Using PySpark programme will help you become adept in the following:
To enroll in the Edureka Python Spark Certification Training Using PySpark course by Edureka, follow the steps listed below:
Step 1– Visit the official website of Edureka: https://www.edureka.co/
Step 2– Look for the "Python Spark Certification Training Using PySpark" course.
Step 3– Scroll and find the “Enroll now” button on the top of the webpage.
Step 4– Click on the "Enroll now" tab and fill the form with your details.
Step 5– To apply for the course, you need to fill the application form and provide your contact information – email address and phone number.
Step 6– You will be redirected to a webpage where you need to select a batch as per your choice.
Step 7– Lastly, you have to choose the mode of payment and finish paying the net applicable course fee. Download the receipt for future reference.
You need to fill out an online application form on Edureka's official website to register for the Python Spark Certification Training using PySpark programme. As requested in the online application, you must provide your contact information and select a course. You can choose the preferred mode of payment and process the payment to confirm your application.
With the Python Spark Certification Training Using PySpark programme, you will gain a thorough understanding of the Big Data and Hadoop ecosystem which will be beneficial for you as a Spark Developer. You will be solving real-world challenges which will enhance your decision-making and logic building skills.
The course curriculum covers all essential concepts and techniques, from Spark Streaming to ML using MLib. When you complete the training course, Edureka will certify you as an Apache Spark and Scala Developer Using Python.
Moreover, the Big Data landscape is expanding tremendously. Upon completion of the Edureka Python Spark Certification Training Using PySpark course by Edureka, you can find plenty of lucrative job opportunities as a certified Spark Developer.
PySpark is Spark with Python API that helps you to leverage the simplicity of Python and use Apache Spark to conquer Big Data. Besides, numerous job opportunities are available for certified Apache Spark Developers using Python in the budding Big Data Analytics market.
The Python Spark Certification Training Using PySpark course by Edureka is a 6 weeks programme covered in online and weekend classes.
You will acquire skills such as Sqoop data loading techniques, implementation of Apache Spark operations, integration of Apache Kafka with Apache Flume. You will also learn to apply clustering algorithms with the Spark MLib APIs, and more with the Edureka Python Spark Certification Training Using PySpark course.
Unfortunately, to maintain the quality of classes, only a limited number of learners are allowed in every demo session. You cannot attend any demo before you enrol in the course. However, you can view the sample recordings to acquire clarity before you enrol in the certification training.
The Edureka Python Spark Certification Training Using PySpark course by Edureka is provided via instructor-led online sessions. Candidates have two options; they can either take weekday classes or weekend classes based on convenience.
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