Apache spark with Python Online Course
(4.8) 
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8124 Ratings
4.7/5
6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
- Join the Best Apache Spark with Python Online Training to master big data processing using PySpark.
- Complete Course Coverage including RDDs, DataFrames, Spark SQL, Spark Streaming, and Machine Learning with MLlib.
- Flexible Online Learning Options – Choose from Live Instructor-Led Sessions or Self-Paced Video Modules.
- Hands-on Training with Real-Time Projects, Data Pipelines, and Integration with Hadoop and Hive.
- Learn from Certified Trainers with strong expertise in Big Data, Python, and Apache Spark Frameworks.
- Career-Oriented Guidance with Resume Building, Certification Assistance, Mock Interviews, and Placement Support.
Course Duration
55+ HrsLive Project
3 ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)
12654+
Professionals Trained
10+
Batches every month
3654+
Placed Students
321+
Corporate ServedWhat You'll Learn
Master Apache spark with Python Online Course for fast big data processing skills.
Learn to write PySpark code for efficient data analysis and transformation tasks.
Understand Spark architecture and its components like RDDs and DataFrames.
Gain hands-on experience with Spark SQL for querying large datasets seamlessly.
Apache spark with Python Online Training explore integration of Spark with Python libraries for advanced machine learning.
Develop skills to optimize Spark jobs for better performance and resource use.
Apache spark with Python Training Objectives
- Certainly Yes, the spark is worth learning because of its huge demand for spark professionals and its salaries. The usage of Spark for their big data processing is increasing at a very fast speed compared to other tools of big data.
- The average salary of a Spark professional is over $75,000 per year.
- Future is all about big data and spark provides a rich set of tools to handle real-time the large size of data
- Its lighting fast speed, fault tolerance, and efficient in-memory processing make Spark a future technology.
- Certainly Yes. Even the recruiters know the knowledge we get in colleges is not enough to do a software job. They will see how confident you are. However they will train you according to their requirement once you get into the company.
- Be confident with your basics that's enough You to get tons of Jobs opportunity by learning Apache spark with Python programming language.
Our course is designed to give a hands-on approach to the students in Apache spark with Python. The course is made up of Both theoretical & Practical classes that teach the basics of each module followed by high-intensity practical sessions of Completing Each Module that Related current challenges and needs of the industry that will demand the students’ time and commitment.
- Deep practical knowledge and Hands-on lab.
- Real-time project use cases and scenarios from the various Industries.
- Mock Tests and discussing various questions.
- LearnoVita has been actively involved in 100% Job Placement Assistance as a value-added service in the Technical Program. With the backup of an advanced training curriculum and real-time business projects, we have a very consistent and growing Job Placement and Track Record.
- Market entry to various countries and jobs in major corporate.
- Immediate job opportunities after Completion of training.
- Active Coordination with students from the stage of preparing a professional CV/Resume to attend Interviews and securing a Job.
- Preliminary Preparation ensures that our students are able to perform confidently in Interviews even it was their First Interview.
- The prerequisites are you must have minimum knowledge in Scala.you can learn Scala If you know any programming language like C, C++, core java, php, python, or any other language , you can easily learn Scala language
- Mostly Yes, But having a minimum knowledge in programming language is enough to learn Apache spark with Python
After this training, the significant areas where you excel are as follows:
- Describe the limitations of MapReduce in Hadoop
- Compare batch vs. real-time analytics
- Describe the application of stream processing and in-memory processing.
- Explain the features and benefits of Spark
- Explain how to install Spark as a standalone user,
- Compare Spark vs. Hadoop Eco-system
The training is perfect for the below job positions:
- Software developers
- Web designers
- Programming enthusiasts
- Engineering graduates
- Students who all want to become Apache spark with Python developers
- Apache Spark is a fascinating platform for data scientists with use cases spanning across investigative and operational analytics.
- Data scientists are exhibiting interest in working with Spark because of its ability to store data resident in memory that helps speed up machine learning workloads unlike Hadoop MapReduce.
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Phone (For Voice Call):
+91 89258 75257
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+91 89258 75257
Benefits of Apache spark with Python Course
Apache spark with Python Certification Course provides in-depth knowledge of big data processing using Spark’s fast, scalable engine combined with Python’s versatility. The Apache spark with Python Training covers Spark core concepts, RDDs, DataFrames, and machine learning libraries, enabling learners to handle large datasets efficiently. Practical sessions prepare professionals for data engineering, analytics, and real-time data processing roles in modern data-driven industries.
- Designation
-
Annual SalaryHiring Companies
About Your Apache spark with Python Training
Our Apache spark with Python Certification Course delivers comprehensive knowledge of big data processing using PySpark. Master data analysis, streaming, and machine learning through hands-on Apache spark with Python Project and real-world scenarios. With expert guidance, access to 500+ hiring partners, and 100% Apache spark with Python Placement support, this course equips you to become a skilled big data engineer ready to excel in today’s data-driven industry.
Top Skills You Will Gain
- RDD Creation
- DataFrames Manipulation
- Spark SQL
- PySpark Functions
- Streaming Processing
- Cluster Management
- Performance Tuning
- Fault Tolerance
12+ Apache spark with Python Tools
PySpark
SparkSQL
Hadoop
Yarn
Hive
Zeppelin
Jupyter
MLlib
GraphX
Mesos
Kafka
Airflow
Online Classroom Batches Preferred
Weekdays (Mon - Fri)
20 - Oct - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
22 - Oct - 2025
08:00 AM (IST)
Weekend (Sat)
25 - Oct - 2025
11:00 AM (IST)
Weekend (Sun)
26 - Oct - 2025
11:00 AM (IST)
Can't find a batch you were looking for?
₹21000
₹16000
10% OFF Expires in
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Why Apache Spark with Python Course From Learnovita? 100% Money Back Guarantee
Apache Spark with Python Course Curriculam
Trainers Profile
Our Apache Spark with Python Online Course is delivered by seasoned professionals who specialize in big data processing and analytics using Spark’s powerful framework combined with Python programming. These expert trainers focus on practical, hands-on learning to help students master distributed data processing, real-time analytics, and scalable machine learning workflows. By blending theoretical insights with real-world projects, they ensure learners develop the expertise to efficiently harness Apache Spark and Python for complex data challenges. The Apache Spark with Python Internship further enhances this training by providing practical exposure to real-time data scenarios and industry-level applications.
Syllabus of Apache Spark with Python Course Download syllabus
- 1. Introduction to the Module
- 2. What is PySpark
- 3. PySpark in Industry
- 4. Why to go for Python
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- 1. Big Data Overview
- 2. Facts about Big Data
- 3. Big Data Scenarios
- 4. Apache Hadoop Framework
- 5. Top Hadoop Users
- 6. Difference between RDBMS and Hadoop
- 7. Cluster Modes in Hadoop
- 8. Hadoop Ecosystem
- 9. HDFS Daemons and Mapreduce daemons
- 10. Top Reasons Why you should Learn Hadoop
- 11. Hadoop distributions and compatibilities
- 12. Hadoop Ecosystem in Detail
- 13. Hadoop Distributed File System
- 14. HDFS Files and Blocks
- 15. HDFS components and architecture
- 16. HDFS File Read and Write
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- 1. Batch and Real Time Analytics
- 2. Why Spark when Hadoop is Already there
- 3. Introduction to Apache Spark
- 4. Features of Apache Spark
- 5. Users and Use Cases of Apache Spark
- 6. Job Execution Flow and Spark Execution
- 7. Spark Unified Stack
- 8. Complete Picture of Apache Spark
- 9. Apache spark Architecture
- 10. Top Companies Using Spark
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- 1. Getting Started with Python
- 2. Introduction to Python
- 3. Advantages and facts about python
- 4. First python program
- 5. Program execution and python IDE
- 6. Built in types in python
- 7. Numbers Data Type in Python
- 8. String and List Data Type
- 9. Dictionary, Tuples and Sets
- 10. Variables and assignment
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- 1. Downloading and Installing Enthought Canopy
- 2. Downloading and Installing jdk
- 3. Downloading and Installing Spark
- 4. Downloading and Setup of winutils
- 5. Setting up Environment Variables
- 6. Running the first Spark Program
- 7. Downloading and Extracting movie ratings datasets
- 8. Running Ratings Counter Spark Program
- 9. Understanding key value pairs with an example
- 10. Filtering RDD using an example
- 11. Finding maximum temperature by location
- 12. Map vs FlatMap
- 13. Understanding FlatMap using Word Count example
- 14. Sorting the word count results
- 15. Total Amount Spent Example
- 16. Sorting the Total Amount Spent Example result
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- 1. Most popular movie example
- 2. Understanding Broadcast Variables with an example
- 3. Finding Similar Movies Example
- 4. Finding Most Popular Superhero example
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- 1. Executing SQL commands
- 2. Using SQL style functions instead of queries
- 3. Using DataFrames instead of RDD
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- 1. Using MLlib to produce movie recommendations
- 2. Using Dataframe with MLlib using an example
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Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Industry Projects
Career Support
Our Hiring Partner
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Exam & Certification
At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training.
Online Classroom:
- Participate and Complete One batch of Apache spark with Python Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Apache spark with Python Certification course
- Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Apache spark with Python Training course. It helps you to prepare for the actual Apache spark with Python Certification exam. You can try this free Apache spark with Python Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Apache spark with Python Certification Path.
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Apache spark with Python Developers.
Our Student Successful Story
Regular 1:1 Mentorship From Industry Experts
Live Classes
Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
It was a great learning experience. The trainer had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank Training & Placement Cell for the constant support
Vinoth P
UI Developer, TCS
I would like to appreciate the placement cell at LearnoVita for the efforts they made for providing a fair and ample amount of chances to me. boot-camps and extra classes for us to enhance our technical and interpersonal skills.
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers. It is dream come true, being an IT engineer
Pranav Srinivas
Software Testing, Capgemini
My sincere appreciation & gratitude to the Training & Placement Department and all staff of LearnoVita for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first-ever opportunity that came into my life.
Prasanna
SAP Admin, HCL
I am very thankful to the faculties of LearnoVita as they are very much supportive, helpful, and the Placement Cell which is also doing a great job by arranging excellent placements of MNCs & good corporate exposure is given to students.
How are the Apache spark with Python Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher Apache spark with Python Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical Apache spark with Python Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant Apache spark with Python Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world Apache spark with Python Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized Apache spark with Python Certifications With Global Validity.
Basic Apache spark with Python Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Strong Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
Additional Features
Lifetime Access to Apache spark with Python Course Materials, Alumni Network, and Hackathons.
No Additional Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
Apache spark with Python Course FAQ's
Certainly, you are welcome to join the demo session. However, due to our commitment to maintaining high-quality standards, we limit the number of participants in live sessions. Therefore, participation in a live class without enrollment is not feasible. If you're unable to attend, you can review our pre-recorded session featuring the same trainer. This will provide you with a comprehensive understanding of our class structure, instructor quality, and level of interaction.
All of our instructors are employed professionals in the industry who work for prestigious companies and have a minimum of 9 to 12 years of significant IT field experience. AApache spark with Python at learning experience is provided by all of these knowledgeable people at LearnoVita.
- LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
- Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
- Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
- LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
- We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
- Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
LearnoVita Certification is awarded upon course completion and is recognized by all of the world's leading global corporations. LearnoVita are the exclusive authorized Oracle, Microsoft, Pearson Vue, and Apache spark with Python I exam centers, as well as an authorized partner of Apache spark with Python . Additionally, those who want to pass the National Authorized Certificate in a specialized IT domain can get assistance from LearnoVita's technical experts.
As part of the training program, LearnoVita provides you with the most recent, pertinent, and valuable real-world projects. Every program includes several projects that rigorously assess your knowledge, abilities, and real-world experience to ensure you are fully prepared for the workforce. Your abilities will be equivalent to six months of demanding industry experience once the tasks are completed.
At LearnoVita, participants can choose from instructor-led online training, self-paced training, classroom sessions, one-to-one training, fast-track programs, customized training, and online training options. Each mode is designed to provide flexibility and convenience to learners, allowing them to select the format that best suits their needs. With a range of training options available, participants can select the mode that aligns with their learning style, schedule, and career goals to excel in Apache spark with Python .
LearnoVita guarantees that you won't miss any topics or modules. You have three options to catch up: we'll reschedule classes to suit your schedule within the course duration, provide access to online class presentations and recordings, or allow you to attend the missed session in another live batch.
Please don't hesitate to reach out to us at contact@learnovita.com if you have any questions or need further clarification.
To enroll in the Apache spark with Python at LearnoVita, you can conveniently register through our website or visit any of our branches in India for direct assistance.
Yes, after you've enrolled, you will have lifetime access to the student portal's study materials, videos, and top MNC interview questions.
At LearnoVita, we prioritize individual attention for students, ensuring they can clarify doubts on complex topics and gain a richer understanding through interactions with instructors and peers. To facilitate this, we limit the size of each Apache spark with Python Service batch to 5 or 6 members.
The average annual salary for Apache spark with Python Professionals in India is 5 LPA to 6 LPA.
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