Embark on your journey to become a competent Data Analyst with our meticulously designed learning path. This route is composed of several comprehensive courses intending to build a strong foundation in data analysis with structured baby steps. You will learn to manipulate and analyze data, generate insights, and communicate them effectively using Python and other major data analysis tools.
This learning path includes:
6 courses with bite-sized lessons and practices
30 engaging lessons in text and video formats
131 hands-on practices in our state-of-the art IDE
One-on-one guidance from Cosmo, our AI tutor
Immerse yourself in the world of Python’s powerful libraries used for Data Analysis. This course covers the installation and operation of the numpy and pandas libraries. Delve into the practical application of these libraries with special focus on creating and manipulating numpy arrays and pandas dataframes.
Take a deep dive into the fascinating world of statistics using Python with this well-curated course. It focuses on the calculation and practical application of descriptive and inferential statistics using Python's pandas, numpy, and scipy libraries.
Embarking on this course allows you to deeply understand and apply data cleaning and preprocessing techniques. It systematically covers the concepts of data cleaning, handling missing values, normalization, binning, encoding, and more, aiming to equip you with practical skills for preparing data for analysis or machine learning tasks.
This course delves deeper into advanced data preprocessing and collection techniques with an extensive focus on merging DataFrames, grouping, and sorting values. It aims to provide an in-depth comprehension of these techniques, preparing the learners to effectively manage, transform, and prepare complex datasets for analysis.
Embark on your journey to mastering Hypothesis Testing with Python in this comprehensive course. It thoroughly covers how to conduct a variety of statistical tests, analyze and interpret results, enabling you to make data-driven decisions and inferences.
This course transports you to the captivating world of Data Visualization and Reporting. It extensively familiarizes you with various techniques and tools for creating meaningful, interactive and visually appealing reports and dashboards using libraries like Matplotlib, Seaborn, and Plotly.
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 is a fun, easy introduction to SQL, using Taylor Swift's music as a way to learn. If you love music and want to get into data analysis and querying, this is perfect for you. You'll learn how to ask questions to a database, find specific information, and understand basic data relationships. No prior experience needed, just a love for music and curiosity about data!
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 path will teach you some of the key foundational skills in computer programming often required in technical interviews. 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.