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Basecamp

Bratislava, Columbia, Online, Vienna

Basecamp

Avg Rating:5.0 ( 6 reviews )

BaseCamp by Knoyd is a full-time 8-week data science bootcamp located in Bratislava, Slovakia, and online. What differentiates BaseCamp from other data science bootcamps is that they teach students by using data problems from real companies. BaseCamp doesn't only teach students how to juggle data and solve problems, the school prepares students for real-world cases and teaches them how to navigate the business side of data science. Coursework focuses on deepening students’ theoretical knowledge and enhancing practical skills in the areas of technology (Python /R /SQL), statistics (statistical inference & A/B testing), machine learning (ensemble methods), and development processes (experimentation and deployment). The 8 weeks is split into lectures, workshops, and projects.

The only prerequisites are advanced English (at least C1 level) and good abstract thinking. There are no other requirements regarding age, skills or formal education. The participant must be eligible to study and live in EU countries.

Recent Basecamp Reviews: Rating 5.0

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Recent Basecamp News

  • BaseCamp

    Apply
    Start Date None scheduled
    Cost$5,000
    Class size10
    LocationBratislava
    BaseCamp is an immersive full-time 8-week program for prospective data scientists. During 8 weeks you will deepen your theoretical knowledge, enhance your practical skills and become a qualified data scientist ready for your exciting data science career.
    Financing
    Deposit500 EUR within one week of acceptance, 2000 EUR prior to the beginning of the bootcamp.
    Tuition PlansFirst half due before the start of the program and second half due after first two weeks of the program.
    Getting in
    Minimum Skill LevelThe only prerequisits are advanced English (at least C1 level) and good abstract thinking. There are no other requirements regarding age, skills or formal education. The participant must be eligible to live in EU countries.
    Prep WorkWe want all the students to be on the same entry level, so we reserve the right to send out some materials to go through before the bootcamp.
    Placement TestNo
    InterviewYes
  • Data Visualization with Python (Micro-course)

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    Start Date None scheduled
    Cost$5
    Class sizeN/A
    LocationOnline
    Everything you need to know about Data Visualisation with Python. Data visualization is a discipline of trying to understand data by placing it in a visual context so that patterns, trends, and correlations that might not otherwise be detected can be exposed. A picture is worth a thousand words. This course is here for you if you want to learn how to do data visualization in Python and are looking for a good selection of resources to help you with that. The course consists of the following topics: - Introduction to Matplotlib. - Introduction to Seaborn. - Introduction to Plotly. - 3D charts with Matplotlib. - Maps with Geopandas. - Interactive charts with IPython widgets. Prerequisites: The prerequisite of this course is the basic knowledge of Python, including the syntax and its data types. The exercises are shared through Github, so basic knowledge of GIT is also required. By the end of this course you will be able to: - Create many different types of charts with Matplotlib and Seaborn. - Create interactive charts with Plotly. - Visualize geospatial data with GeoPandas. - Understand IPython widgets. Mentor support: You can select one of three available pricing plans. Each will give you access to all course materials including the quizzes and challenges. Additionally, you can opt for mentor support through Slack and mentor calls. Course duration: ca. 15 hours
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelN/A
    Placement TestNo
    InterviewNo
  • Data Wrangling with Python

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    Start Date None scheduled
    Cost$10
    Class sizeN/A
    LocationOnline
    Everything you need to know about Data Wrangling with Python. Data wrangling is an important part of the data science process and it is essential to master it before moving on to machine learning. This course is here for you if you want to learn how to do data wrangling in Python and are looking for a good selection of resources to help you with that. This course is NOT for you if you don't know the basics of Python yet or if you want to jump directly to machine learning modeling (check out our Intro to Python course or stay tuned for Introduction to Machine Learning). The course consists of the following topics: - Introduction to NumPy. - Introduction to Pandas and its data types. - Processing of different data formats like XML, JSON, CSV, or text. - Introduction to APIs. Prerequisites: The prerequisite of this course is the basic knowledge of Python, including the syntax and its data types. The exercises are shared through GitHub, so basic knowledge of GIT is also required. By the end of the course, you will be able to: - Process and convert raw data into formats needed for analysis. - Define the basic Pandas and NumPy functions and data types. - Apply different data wrangling techniques to prepare JSON and XML files. - Understand the concept of APIs and access data through different ones - Solve various data wrangling and reporting challenges using Pandas functions and data types. Mentor support: You can select one of three available pricing plans. Each will give you access to all course materials including the quizzes and challenges. Additionally, you can opt for mentor support through Slack and weekly mentor calls. Course duration: ca. 50 hours
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelN/A
    Placement TestNo
    InterviewNo
  • Docker for Data Scientists (Micro-course)

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    Data Science, Data Analytics , Algorithms, Python
    OnlinePart Time6 Hours/week1 Week
    Start Date None scheduled
    Cost$5
    Class sizeN/A
    LocationOnline
    Learn how to use and leverage Docker for your data science projects. Docker gained a lot of popularity in the last couple of years and nowadays, it can be very useful also for Data Scientists. By the end of this course, you will be able to: - Install Docker on your machine. - Understand how Docker can be useful for data scientists. - Download a Docker image of your choice and set up a dev environment. - Create your own simple Docker files and images. Prerequisites: For this micro-course, you will need basic knowledge of the Command line. If you need to refresh it, you can take our course Environment Setup. Mentor support: You can select one of three available pricing plans. Each will give you access to all course materials. Additionally, you can opt for mentor support through Slack and a mentor call. Course duration: ca. 6 hours
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelN/A
    Placement TestNo
    InterviewNo
  • Environment Setup (Micro-course)

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    Data Science, Python
    OnlinePart Time1 Week
    Start Date None scheduled
    Cost$5
    Class sizeN/A
    LocationOnline
    This course is an introductory course for everybody who wants to learn data science. It will guide you through everything you need to download and set up before you start learning. Moreover, you will learn some basic tools and commands that you will find helpful in the future stages of your learning or career. By the end of this course, you will be able to: - Set up your own data science environment on your machine. - Understand the value of virtual environments in data science. - Use the command line for data science purposes. - Apply Bash commands to do basic operations on datasets. Prerequisites: None. If you are looking for ways how to start your data science education, this is the right course to start. Mentor support: You can select one of three available pricing plans. Each will give you access to all course materials. Additionally, you can opt for mentor support through Slack and a mentor call. Course duration: ca 10hours
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelNone.
    Placement TestNo
    InterviewNo
  • Intro to Python Programming (Micro-course)

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    Data Science, Data Analytics , Algorithms, Python
    OnlinePart Time2 Weeks
    Start Date None scheduled
    Cost$5
    Class sizeN/A
    LocationOnline
    Start your Data Science career by learning all the coding you will need. In the last years, Python has become the most popular programming language among data scientists and it will most probably bring you the best opportunities in your data science career. This course will guide you through everything important you need to know about coding to become a great data scientist. We will start with basic Python syntax and variables and then move to more advanced stuff essential for any data scientist. By the end of this course you will be able to: - Understand Python syntax and basic data types and write Python code. - Tell the difference between complex data types like lists, dictionaries, or tuples and use them for your benefit. - Apply data types from module collections to improve the efficiency of your code. - Apply various datetime methods to handle time and date. - Understand common errors that can occur during the execution. Prerequisites: For this course, you will need to have Python and JupyterLab installed on your computer. No prior Python knowledge is required. If you are not sure how to set up those, you can learn it from our micro-course: Environment Setup. Mentor support: You can select one of three available pricing plans. Each will give you access to all course materials including the quizzes and challenges. Additionally, you can opt for mentor support through Slack and mentor calls. Course duration: ca 20 hours
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelNone.
    Placement TestNo
    InterviewNo
  • Probability & Statistics (Micro-course)

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    Data Science, Data Analytics , Python
    OnlinePart Time1 Week
    Start Date None scheduled
    Cost$5
    Class sizeN/A
    LocationOnline
    Everything you need to know about Probability & Statistics for Data Science.
    Financing
    DepositN/A
    Getting in
    Minimum Skill LevelN/A
    Placement TestNo
    InterviewNo

Shared Review

  • George Burry  User Photo
    George Burry • Freelancer • Graduate Verified via LinkedIn
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    Doing the Basecamp data science bootcamp was a gerat decision, because it brought me a long way in the space of only two months and I am so much more confident with data and machine learning now. This is all thanks to the patience and encouragement of Juraj and the other mentors. Topics were taught by experts in their respective fields and were taught in an engaging way. Even though some of the topics were difficult to grasp, Juraj went out of his way to make sure we understood the most important points. I really enjoyed it and I have taken so much away from the experience.

  • Ivan Todorovic
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    Attend Basecamp.ai Spring 2019 class. Curriculum is excellent and aligned with industry needs. Almost all the instructors are exceptionally good, and what is important they are Data Science practitioners, not only lecturers. Some Python knowledge is highly recommended before applying, otherwise you may have trouble keeping track with exercises for curriculum that covers such a long list of subjects.

    Recommended.

  • Karolina Swistak • Graduate
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    I am coming from geoscience background and by taking part in this bootcamp wanted to make a career change. It has been intense 8 weeks,  great curriculum as in the selection of topics, right mix of practice vs lecture and finally the project at the end of the course.

     I really recommend it to anyone who is looking for a course with a full coverage experience in Data Science. Now I am confident to make the switch.

  • Marcelo Bohrer • Graduate
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    Basecamp was overall great! The instructors were very knowledgeable and easy-going, they were all very excited to teach. I couldn’t believe a few weeks into the program how much I had learned. The selection of topics was great, as well as the balance between theory and practice

    The small class size allows for very attentive mentoring. The final project is a great way to get some exposure to real data and dive deeper into some topics.

    In my opinion the intense 8 weeks of training are equivalent to some 2 years of moocs and online training (of course one has to work hard). I would definitely recommend Basecamp to anyone starting a career in data science!

    During the bootcamp we interacted with data scientists inside and outside the class, this was a great opportunity to get to know people and learn about their day to day as data scientists. Basecamp is a great way to learn a lot, have some fun and get to know the charming Bratislava.

  • Cliff Cunningham • Consultant • Graduate
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    a very hands-on practical course with good lectures and in-depth exercises - covering data science and M.L. Recommended.
  • Kiril • Student
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    I had to quit my job to participate in the Basecamp. I was aware that it was a risk because it was the first batch of the Basecamp but I did not regret it at all. Overall, I really enjoyed the Basecamp experience! It helped me bridge the gap between the online courses and the first job. Above all the final project was great. It was not just another toy exercise but a collaboration with a start-up including their real world data. In the end, this was the key to get the my first job as a data scientist. And I was even lucky to meet my future employer at the hiring day. I can imagine that the next batches will be even better.

Thanks!