Learn the fundamental programming skills of a Data Analyst with this beginner-friendly learning path. Use Python libraries to clean, analyze, and visualize data. These 6 fun courses will help your kick-start your Data Analytics career.
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 and Seaborn.
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 learning path is a fun, accessible introduction to SQL, one of the most popular database query languages. It uses Taylor Swift's discography as your database. Your data “Love Story” starts here!
Dive into the world of data analysis with our comprehensive learning path specifically designed for R and its ecosystem. This course series is aimed at constructing a robust understanding of the principles and practices of data analysis, allowing you to interpret, visualize, and communicate data effectively. By mastering the tools and concepts in R, you will be prepared to tackle complex data analysis tasks with confidence.
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.