Excel Your Skills
Join our 40hrs Data Science with Python Bootcamp Course
We frequently host workshops and presentations aimed at enhancing understanding in areas such as data, design, and storytelling. If you’re interested in learning more about these topics, feel free to reach out to us at [email protected]
Additionally, Dataksha, in partnership with the Outside The Box Study Hub (OTB), is currently offering a comprehensive 45-hours Data Science Bootcamp course utilizing Python on a rolling basis.
If you’re interested, please take a moment to fill out the form provided.
Frequently Asked
What is Data Science BootCamp?
Each data science bootcamp varies — they teach you different skills, languages, and disciplines, all in different ways and styles — but generally the term “data science bootcamp” means an accelerated learning program that helps students learn the skills they need to become data scientists.
Do we need to have Python knowledge before joining?
No, prior Python knowledge is not mandatory to join the training program. The program includes an introductory section covering the role of Python in data science, along with an overview of Python data science libraries such as NumPy, Pandas, and Matplotlib.
What’s the application process like?
The first step is to fill out a written application. Once submitted, you will receive prompts from the admissions team with the next step.
Is there financial support available for participants?
For students with demonstrated financial need, we offer support to ensure access to the training program. Eligibility criteria and application procedures for financial assistance will be provided upon request or during the enrollment process. We aim to make the bootcamp accessible to individuals from diverse backgrounds and ensure that financial constraints do not hinder participation.
For the class what should I need?
For the class, it is highly recommended that you bring your own laptop. Having your own laptop ensures that you can fully engage in the practical aspects of the training, including coding exercises and projects. Additionally, working on your own laptop allows you to customize your environment and continue practicing outside of class hours, which is beneficial for skill retention and future use. While we may provide some resources, having your own laptop ensures convenience and maximizes your learning experience throughout the training program.
