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Big Data Analysis
$24 – $48
- Course Duration: 4 weeks
- Total Video Length: 11:17 hours
- Target Audience: Individuals interested in computer science, engineers and data scientists, and enthusiasts in distributed data platforms and streaming data analytics.
- Prerequisites: Data Science Technician Career, Linux & Docker Proficiency.
- Instructor: Hassan Ahmadkhani & Soheil Tehrani Pour
- Lifetime access to course videos and the option for free retraining in hybrid format
- Language: Persian
During this course, you will become familiar with big data concepts, popular tools and platforms, as well as analytical environments such as PySpark in the realm of big data. You will learn the fundamentals of Hadoop and the Big Data ecosystem, along with practical experience in working with important and widely-used tools like the distributed data warehouse Apache Hive and NoSQL databases such as MongoDB, enhancing your chances of joining professional data science teams. Furthermore, understanding the components of Spark and utilizing its powerful features like Spark SQL and PySpark are essential skills expected from data scientists in large enterprises and organizations.
The hybrid courses include the following:
- Video Content:
In the hybrid course format, all educational materials—including the instructor’s voice and image, desktop screen, and whiteboard presentations—are recorded and edited in a studio environment. These high-quality video lessons are then made available to participants. - Mentoring Service:
However, the videos are only part of the learning experience. For each week’s content, we offer a two-hour online mentoring session. These sessions are usually scheduled on weekdays (Monday to Friday) outside of business hours. After watching the video lessons, you can ask any questions or clarify doubts directly with the instructor during the live mentoring session, fostering a direct interaction with the course instructor.
Additionally, instructors can use this service to monitor the progress of remote participants, track assigned tasks, and follow up on exercises. - Telegram Support:
For each ongoing program, a dedicated Telegram group will be created, where all participants of hybrid courses will be added. In this group, you can share resources, discuss content-related questions, ask individual queries, and engage in discussions. The course instructors are also present in this group and will respond to inquiries as much as possible. - Certificate:
At the end of the hybrid courses, participants will receive a certificate. The certificate is issued in English, can be verified online, and is shareable on social media platforms.
The self-paced courses include the following:
- Video Content:
In the self-paced format, all educational materials—including the instructor’s voice and image, desktop screen, and whiteboard presentations—are recorded and edited in a studio environment. These high-quality video lessons are then made available to participants. - Telegram Support:
For each ongoing program, a dedicated Telegram group will be created, where all participants of self-paced courses will be added. In this group, you can share resources, discuss content-related questions, ask individual queries, and engage in discussions. The course instructors are also present in this group and will respond to inquiries as much as possible. - Certificate:
Self-paced courses do not include certification.
Course Type | Hybrid, Self-paced |
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Syllabus | • Introduction to Big Data: Necessities, Advantages, and Limitations |