The post has been translated automatically. Original language: Russian English
Do you think the Big Data course is only for those who already live in Spark and write in Scala? But it's not.
Developers, analysts, data scientists, and engineers from various fields come to our practical course, and everyone finds something different in the program. That's how it works.:
🧑💻 Developers
Are you already confident in programming, but do you want to go beyond CRUD, API, and single servers?
During the course, you will learn how to work with distributed systems, run clusters, and use technologies like Hadoop, Spark, and Kafka. These skills are key for those who design modern systems and work with large amounts of data. And at the same time, it is a strong plus to your technical profile and career track.
📊 Analytics
Do you work with SQL and BI, but do you feel the ceiling? With Hive, NoSQL, and distributed storage, you can solve larger tasks, process large amounts of data faster, and write reports that have a real impact on your business. Try it!
🧑🔬 Data Scientists
If the model doesn't work well, it's often not about the model, but about the data. This course will help you gain a deeper understanding of how to collect, store, clean, and stack data. And how it affects the training and scaling of ML models. Welcome aboard!
, The course is suitable for those who:
- wants to systematize the experience in big data
- looking for practice: assignments, cluster, feedback
- he works in a team where data is already being accumulated, but no one really knows how to use it. And you can be the one to change that.
, The format is a MOOC with support.
You learn from short pre—recorded videos (5-10 minutes) at a convenient time. There is mentoring support, comments from instructors and developers on difficult issues. And most importantly, access to a multi—user cluster, where you train in practice, not in theory — this opportunity is available only to us.
The last Big Data course this year has already begun, but you can still enter before tomorrow, August 5, to smoothly integrate into the process. Keep up!
, Sign up
▶️ Watch an example lesson (5 min)
BigData Team: the way you learn best
Py4BDA | Python | Machine Learning | Big Data | BD/ML Engineer
#BigDataTeam #bigdata #study #latest wagon
Do you think the Big Data course is only for those who already live in Spark and write in Scala? But it's not.
Developers, analysts, data scientists, and engineers from various fields come to our practical course, and everyone finds something different in the program. That's how it works.:
🧑💻 Developers
Are you already confident in programming, but do you want to go beyond CRUD, API, and single servers?
During the course, you will learn how to work with distributed systems, run clusters, and use technologies like Hadoop, Spark, and Kafka. These skills are key for those who design modern systems and work with large amounts of data. And at the same time, it is a strong plus to your technical profile and career track.
📊 Analytics
Do you work with SQL and BI, but do you feel the ceiling? With Hive, NoSQL, and distributed storage, you can solve larger tasks, process large amounts of data faster, and write reports that have a real impact on your business. Try it!
🧑🔬 Data Scientists
If the model doesn't work well, it's often not about the model, but about the data. This course will help you gain a deeper understanding of how to collect, store, clean, and stack data. And how it affects the training and scaling of ML models. Welcome aboard!
, The course is suitable for those who:
- wants to systematize the experience in big data
- looking for practice: assignments, cluster, feedback
- he works in a team where data is already being accumulated, but no one really knows how to use it. And you can be the one to change that.
, The format is a MOOC with support.
You learn from short pre—recorded videos (5-10 minutes) at a convenient time. There is mentoring support, comments from instructors and developers on difficult issues. And most importantly, access to a multi—user cluster, where you train in practice, not in theory — this opportunity is available only to us.
The last Big Data course this year has already begun, but you can still enter before tomorrow, August 5, to smoothly integrate into the process. Keep up!
, Sign up
▶️ Watch an example lesson (5 min)
BigData Team: the way you learn best
Py4BDA | Python | Machine Learning | Big Data | BD/ML Engineer
#BigDataTeam #bigdata #study #latest wagon
More from this author
Share
