Attention all Data Science enthusiasts! We're thrilled to announce that our club is kicking off a series of exciting events that cover a wide range of topics in data analytics, computer vision, natural language processing, and machine learning in robotics.

First up, we have a speech and Q&A session with Professor Ernazar Abdikamalov, a renowned researcher who uses machine learning in physics. Following that, we'll hear from experts in the industry, including representatives from Kolesa Group and Jusan Group. And to wrap up the series, we're hosting a sponsored hackathon on data analytics!

This is a fantastic opportunity to expand your knowledge, network with industry professionals, and put your skills to the test. Stay tuned for more information on the dates and details of each event.

Link to our Instagram

We can't wait to see you there! #DataSci #DataAnalytics #ComputerVision #NLP #MLinRobotics 💻🔬🤖

🚀🔭 Join us for an evening of fascinating discussions, engaging activities, and exciting prizes!

Our event will start with a 10-minute opening ceremony with the club members and our mentor, Professor Michael Lewis. Then, we will have a talk by the renowned physicist, Professor Ernazar Abdikamalov, followed by an interactive Q&A session that will last for about an hour. You'll get a chance to learn about the latest developments in the field of "Physics meets Machine Learning" and explore the secrets of exploding stars, neutron stars, black holes, and white dwarfs.

But the fun doesn't end there! After the talk, we'll be having a giveaway with ISSAI merch prizes for the active participants. So, bring your friends, get ready to learn, and have a blast!

📅 Date: March 10th
🕕 Time: 6 PM
📍 Venue: Nazarbayev University Blue Hall
📝 Registration link

Don't miss out on this unique opportunity to engage with some of the brightest minds in physics, and win exciting prizes! We hope to see you there! 🔬💫

Are you interested in a career in Big Tech? 💥
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Join us for a guest talk "Software engineering at Google. Practical tips and advice" with Mr Ali Zhussupov, a software engineer at Google, YouTube, who will share his practical tips and advice on what it takes to succeed in the world of tech 👨🏻‍💻
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This is a chance to learn from someone who has experienced firsthand what it's like to work at Google and who can provide valuable insights on how to stand out in a competitive industry.
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You will gain a deeper understanding of the industry and the tools needed to succeed, as well as learn how to optimize your skills to reach your full potential. You will also have a chance to ask questions to Ali.
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So, mark your calendars and join us for an informative and inspiring talk with Ali Zhussupov! This is a must-attend for anyone interested in pursuing a career in tech ✅
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🗓 Date: 11th March 16:00 (4 pm)
📍 Place: Zoom-webinar
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👉🏻 REGISTRATION LINK
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*this event is only for NU community

Attention all data enthusiasts at NU! Are you interested in expanding your knowledge and skills in the field of Data Science? Look no further than our DataSci Club!

Our club is currently seeking anyone interested in the field and with variety of roles to choose from: event managers, technical coordinators, and designers. There's something for everyone!

As a member of DataSci Club, you'll have the opportunity to work alongside like-minded individuals and gain valuable experience through organizing events with top companies and running hackathons. Not only will you have fun and meet new people, but you'll also develop essential skills that will benefit you both personally and professionally.

So why wait? Join our team today and become part of an exciting community of Data Science at NU. We can't wait to see what you can bring to the table!

RECRUITMENT LINK

Summer Research Program at ISSAI!
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We are inviting students for our Summer Research Program.
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The intern will work together with our data scientists on our projects, and will gain valuable knowledge and skills in the field of machine learning, data science and AI.
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🔸 Requirements:
- Math skills (required): Linear Algebra, Probability and Statistics
- Programming skills (required): Python
- Machine learning skills (preferable): PyTorch/TensorFlow/Keras, Scikit-learn, Numpy, Pandas, Matplotlib
- Experience in one of these is preferable, but not mandatory: Computer Vision, NLP, Speech Recognition, Reinforcement Learning
- English language proficiency (minimum intermediate level)
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🔸 Dates:
⁃ Program starts in mid-June. Dates might vary
⁃ Duration: 2 months
⁃ Payment is in accordance with the level of education and skills within the limits established by the rules of NU
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👉🏻 To apply send your resume, academic transcript, cover letter describing skills, research interests to issai@nu.edu.kz by 31 March

Are you looking to gain a better understanding of mobile development and the technology behind Android OS? Are you aiming to stand out in the competitive industry and take your career to the next level? Then don't miss this exclusive opportunity to hear from Mr Zhomart Mukhamejanov, a software engineer at Meta, WhatsApp.💥

In this guest talk, Mr. Mukhamejanov will discuss an overview of Android OS, the technology behind it, security, and privacy issues, and how to optimize one's skills to reach their full potential.👨🏻‍💻

This is an invaluable chance to gain insight from someone who has experienced firsthand in start-ups and in Big Tech corporates.

Take advantage of this opportunity and ask questions to gain further knowledge!💫

So, mark your calendars and join us for an informative and inspiring talk with Zhomart Mukhamejanov! 🔔 This is a must-attend for anyone interested in pursuing a career in tech.

🗓 Date: 11th April 18:00 (6 pm)
📍 Place: Zoom-webinar

REGISTRATION LINK

🔍 Are you interested in the world of data science?

Join us for an exciting Data Science Club event featuring two accomplished data scientists from Jusan Bank's Department of Machine Learning and Data Analytics. Discover how data science is being used to drive innovation and make a difference in the world. Don't miss out on this amazing opportunity to learn from the best and connect with fellow data enthusiasts!

📅 Date: April 4th, 2023
🕕 Time: 6 PM
📍 Venue: Nazarbayev University Blue Hall
📝 Registration Link

We can't wait to see you there!

Do you want to know more about working as a Data Analyst?

Join us for a virtual event where our guest speaker, Akmaral Kalmanbayeva, a Data Analyst at Kolesa Group, will delve into the world of product analytics and how it can help companies make informed decisions. She also will be sharing insights into her own journey as a data analyst, offering valuable tips and advice for those looking to pursue a similar career path.

📆Date: April 11th, 2023
⏱Time: 8 PM
📍Venue: Online via Zoom
📝 REGISTRATION LINK

Mark your calendars and get ready to learn from Akmaral Kalmanbayeva!

Are you interested in taking your first step towards becoming a Data Scientist? Join us for our first-ever Data Science workshop on Data Preprocessing!🥳

Data Preprocessing is a preliminary step for everything related to Data Science, machine learning, and AI. In this workshop, you will learn how to prepare data for analysis and develop the necessary skills, including:
• Importing the data
• Handling missing values
• Splitting data into training and test data
• Feature scaling
• Encoding categorical data
We have designed the workshop to be interactive and hands-on, so you will have the opportunity to practice what you learn. In future workshops, you will have the chance to dive into data visualization, regression, reinforcement learning, NLP, deep learning, boosting models, and more.

📌Join us in 7.105 at 18:00 on April 12th. Mark your calendars and don't miss out on this exciting opportunity!

REGISTRATION FORM

Presentation and notebook from workshop

Here is the link to the group chat, where you can discuss workshop material:
https://t.me/+15rLkorH6B0xN2Qy

Thanks to all participators of the event “Data Analytics in Action” with Akmaral Kalmanbayeva. The speaker shared her experience and knowledge about working as a Data Analyst. Also, she suggested some sources to learn and practice Data Science:

- “Основы статистики I, II”, Stepik.org
- “DataBoom SQL”
- “SQL exercises” (100+ exercises)
- Pythontutor.ru
- Разбор продуктовых кейсов, Youtube


Also, the speaker listed several materials to learn Data Analytics specifically:
- “Аналитика данных”, KarpovCourses
- “CodeRun”, Yandex

We thank Akmaral Kalmanbayeva for making time and for helpful pieces of advice.
See you all at our next event!