PYSPARK
Specialization | 6 Course Series | 3 Mock Tests
This PySpark Certification includes 6 Course with 13+ hours of video tutorials and One year access and several mock tests for practice. You get to learn about how to use spark python i.e PySpark to perform data analysis. It includes three-level of training which shall cover concepts like basics of Python, programming with RDDS, regression, classification, clustering, RFM analysis, text mining, and others.
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* One Time Payment & Get One year access
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What you'll get
- 13+ Hours
- 6 Courses
- Mock Tests
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: This is the 6-course, project bundle. Please note that you get access to all the 6 courses. You do not need to register for each course separately.
- Hours: 13+ Video Hours
- Core Coverage: You get to learn about how to use Spark Python, i.e., PySpark, to perform data analysis.
- Course Validity: One year access
- Eligibility: Anyone serious about learning character modeling and wants to make a career in this field
- Pre-Requisites: Basic knowledge about animation would be preferable
- What do you get? Certificate of Completion for each of the 6 courses and projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume or LinkedIn profile to showcase your enhanced skills
- Type of Training: Video Course – Self Paced Learning
Content
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MODULE 1: PySpark Training Essentials
Courses No. of Hours Certificates Details PySpark Python - Beginners 2h 16m ✔ PySpark Python - Intermediate 2h 02m ✔ PySpark Python - Advanced 1h 18m ✔ -
MODULE 2: Learning from Practicals & Apache Spark
Courses No. of Hours Certificates Details Apache Spark - Beginners 1h 4m ✔ Apache Spark - Advanced 5h 49m ✔ Project on Apache Spark: Building an ETL Framework 2h 1m ✔ -
MODULE 3: Mock Tests & Quizzes
Courses No. of Hours Certificates Details Test - PySpark Developer Mini Test 1 Test - PySpark Developer Mini Test 2 Test - PySpark Developer Mock Test
Sample Certificate
Requirements
- The pre-requisite of these PySpark Tutorials is not much except for that the person should be well familiar and should have a great hands-on experience in any of the languages such as Java, Python or Scala or their equivalent. The other pre-requisites include the development background and the sound and fundamental knowledge of big data concepts and ecosystem as Spark API is based on top of big data Hadoop only. Others include the knowledge of real-time streaming and how big data works along with a sound knowledge of analytics and the quality of prediction related to the machine learning model.
Target Audience
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- The target audience for these PySpark Tutorials includes ones such as the developers, analysts, software programmers, consultants, data engineers,
- , data analysts, software engineers, Big data programmers, Hadoop developers. Other audience includes ones such as students and entrepreneurs who are looking to create something of their own in the space of big data.
Course Ratings
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Good way to start learning the very basics of SPARK architecture and programming.People who don't have programming should first attend the SCALA tutorial before this tutorial. The diagrammatic explanation was very clearly explained for easier understanding of how the processes get implemented in SPARK .
Sukhasis Basu Roy