FAQ

The world of data science can often seem overwhelming to beginners due to the vast amount of information and resources available. This is precisely where our Data Science guide comes into play. Comprehensive and Structured: This guide provides a comprehensive, structured, and step-by-step roadmap to learning data science. It breaks down the complex field into manageable sections, making it suitable for both beginners and professionals looking to deepen their understanding. Expertly Curated: The guide is expertly curated and updated by experienced data scientists, reflecting the latest trends, tools, and techniques in the industry. Practical Application: Our guide goes beyond theory, offering real-world examples and practical exercises to help you apply what you're learning. It ensures that you gain not just knowledge, but also the practical skills that employers look for. Saves Time and Effort: Instead of spending hours figuring out what to learn next, this guide provides you with a clear learning path, saving you time and effort. Accessible and Affordable: Unlike expensive courses or degrees, this guide is designed to be both affordable and accessible to everyone, regardless of their background. In short, the Data Science guide is designed to simplify your journey into the world of data science, providing clear direction and valuable insights. Whether you're completely new to the field or looking to advance your current knowledge, this guide is a reliable resource to assist you.

Yes, while the "Data Science Express" Roadmap and the Data Science Guide "Build Your Own Data Science Journey" are separate products, they complement each other very well. The Roadmap is a free resource that offers a structured map of topics to learn on your journey to becoming a data scientist. It's designed to give you a clear understanding of the concepts, skills, and areas of knowledge you may need to cover. On the other hand, the guide is a comprehensive plan that goes beyond just listing the topics. It provides detailed instructions on how to actually break into the field of data science. This includes advice on how to build an effective portfolio, what resources to use for learning, what projects to undertake, and more. The Data Science Guide is a paid product. In essence, while the Roadmap provides you with the 'what' (i.e., what topics to learn), the Guide provides you with the 'how' (i.e., how to learn these topics and how to use this knowledge to transition into a data science career). While they can be used separately, using both the Roadmap and the Guide together will give you a holistic, structured, and practical approach to entering the field of data.

Data Science Guide is designed to cater to a wide range of learners, including those starting with no coding experience.

No. This guide is specifically designed to answer questions on acquiring the necessary skills for data science and securing a job in the field. As the emphasis is on career development, it intentionally steers away from the in-depth technical nuances of data science. Thus, you won't find discussions on model hyperparameters or detailed explanations of Python packages. In fact, this guide does not include a single equation or line of code. Nonetheless, I've recommended numerous books and courses that delve into these technical details. Instead of emphasizing technical aspects, the intention is to shed light on the often overlooked but equally important non-technical knowledge required for success in data science. Additionally, this guide provides a clear roadmap with step-by-step instructions to help you learn all the necessary technical topics.

The DS guide is a digital product distributed in PDF format. No physical copy of the guide is provided.

No, everything provided in the Notion dashboard with DS resources is replicated inside the DS Guide as a table. However, if you want, you can use the Notion dashboard and copy it as a template. To do so, you must register a Notion account; it is easy and free.