Data Space: Recent Episodes
Aaron Gallant
We are here to help people in the tech industry succeed with tips from industry experts, our career team, and our alumni! Teaching both technical, and soft skills, along with examples and stories on how to build relationships, solve problems, showcase ideas, and succeed in your new work space. We encourage you to listen to this podcast in a car, during a walk, or in the bath tub! Looking forward to it!
Today, our focus will be on sampling processes, specifically addressing the key aspects of representativeness and sample size. Joined by our guest, Danieal De Foe, we'll delve into practical examples that aim to enhance your grasp of sampling concepts. If you want to dive deeper into the topic - check these resources:
- Khan Academy, Statistics and Probability: Picking fairly
- Towards Data Science, Sampling Techniques
Today, we have the pleasure of introducing you to Trilce Ruiz, an esteemed career coach at TripleTen. Trilce's expertise lies in working with data specialists, and she is here to impart her invaluable insights on the current job market and effective job search approaches. Throughout our discussion, we'll delve into career strategies that every job seeker should consider, such as networking, personalization, and more. Get ready to absorb some valuable tips to enhance your career prospects!
Let's meet Alex Kim, an experienced data scientist with an interesting background. Starting as a software engineer, Alex has worked in different industries and now he's here to share his story. He'll talk about the projects where he applied his data engineering and machine learning skills, focusing on the tasks data professionals typically handle. Plus, he'll provide tips on how to get into the tech field.
Welcome to Season 2 Episode 1! To kick things off, we are excited to announce our name change: Practicum is now officially TripleTen.
In this second season, we'll dive into career-related topics, such as landing your first job in the data field, the daily life of a professional, advice for juniors, career strategies, and more. We'll also cover some simple tech concepts for beginners. So, get ready for an exciting season two!
Today, we’re talking to AC Slamet, a former student from the Data Analysis program, who has found success as a professional data analyst. Let's hear about his unique journey and how he achieved his goals.
Welcome to our 4th episode. This time, we decided to invite our current student, Chani Maybruch, to discuss a very important topic: how to set goals and priorities to make great achievements. Chani's goal is to learn all the professional skills that Practicum has to offer and start a new career in Data Science. We will discuss her experience, needs, and goals at Practicum, and even answer some of her questions.
Also, this month, we have a small present for you: a promo code for 15% off both the Data Analytics and Data Science bootcamps! The promo code, DATASPACEJAN2023, will be available until the end of January!
Here is our 3rd episode on soft skills. We will talk about effective communication at work, as it plays a huge role in how you share your results with others, get your point across, and stay on the same page as your co-workers and stakeholders. Our guest is Shanna, who has years of experience in data analytics and working collaboratively. Let’s learn from an expert together!
In this episode we will talk about how to share the results of your work with others. Presentations are a huge part of what Data professionals do, so it is an important skill to have. We've invited a guest, Craig Sakuma, who is a data scientist and has experience in the consulting and retail industries. Craig also has huge experience in training data analysts and data scientists. So welcome Craig and be ready to hear his advice and real-life examples for working in this profession.
Welcome to episode 1! Today, we introduce our host - Aaron Gallant - our Curriculum lead here at Practicum. Aaron will be talking about data curiosity — what it is, how it applies to work, how it affects job interview results. He’ll also go into the ways to develop data-curious qualities and diversify to approaches to problem-solving.