Welcome to this extensive learning path designed to transition you from a curious enthusiast to a proficient data science professional. This pathway encompasses a collection of courses tailored to equip learners with the foundational knowledge, tools, and techniques required to unearth actionable insights from raw data. By utilizing Python—one of the most versatile and powerful languages in the data science community—you will be positioned at the forefront of the ever-evolving landscape of data-driven decision-making.
This learning path includes:
7 courses with bite-sized lessons and practices
44 engaging lessons in text and video formats
220 hands-on practices in our state-of-the art IDE
One-on-one guidance from Cosmo, our AI tutor
This entry-level course offers a deep dive into the fundamental functionalities of Python libraries, Numpy and Pandas, applicable to data science. It covers a wide range of topics, from numerical computations to data manipulation using authentic datasets.
An in-depth advanced course dedicated to mastering data visualization techniques using Python, Matplotlib, and Seaborn. You will get to work with a real-world Titanic dataset and explore critical aspects of data representation and interpretation.
This data-heavy course focuses on trends and patterns in air travel history. Using complex visualizations and time series analysis, you will learn about growth trajectories and seasonal fluctuations in the air travel sector.
This comprehensive course specializes in data cleaning and preprocessing techniques in Python, preparing you to apply these techniques in predictive modeling. The course covers a range of relevant topics, from missing data handling to feature engineering.
Intended for those interested in Machine Learning, this advanced course delves deeper into the extensive functionalities of Numpy and Pandas. The course covers complex operations, large-scale data manipulation, and cross-disciplinary applications.
An overview course into supervised machine learning techniques, focusing particularly on linear and logistic regression. By working with real-world datasets, you will implement both models to predict outputs and analyze the most predictive features.
This advanced course explores unsupervised machine learning, emphasizing dimensionality reduction and clustering methods. Using the Iris dataset, you will apply different methods and interpret the practical implications of the clusters identified.
Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.
This course will teach students the skills needed for technical coding interviews at companies like Google. It will focus on understanding how to choose optimal algorithms and data structures for different problems, how to apply them, and how to explain their reasoning. Topics covered will include hash tables, recursion, linked lists, trees, and graphs.
Kickstart your journey as a Computer Programmer with a strong foundation in one of the most popular languages in the world - Python. This beginner-friendly path provides a comprehensive understanding of Python syntax and fundamental programming concepts, paving the way for further exploration into the vast universe of coding.
Embark on your adventure into the programming universe with JavaScript, one of the most widely used languages in web development. This beginner-friendly path will guide you through JavaScript syntax and fundamental programming concepts, laying the groundwork for your future exploration into the vast cosmos of coding.