Dataquest

Gain the practical Python skills that will help you land your first job as a data analyst — or help you grow your career by adding one of the most popular programming languages to your CV. In this path, you’ll learn the fundamentals of Python, as well as how to prepare and extract data by querying databases with SQL, how to create insightful data visualization, and how to perform descriptive and predictive statistical analysis.

In this path, you’ll master the mandatory technical skills, including Python programming, data pipelines, and data processing. You’ll also learn how to implement algorithms, how to work with multi-table databases using SQL, and key tools like pandas, NumPy, SQLite, MapReduce, and PostgreSQL.

In this path, you’ll learn how to master mandatory data scientist technical skills, including object-oriented and functional programming with Python, libraries like scikit-learn, Matplotlib, NumPy, and pandas. You’ll also master web scraping and SQL queries, deep learning and machine learning, and predictive analysis. To help you stand out from other candidates, we included concepts such as the UNIX command line, Git, and GitHub to develop efficient collaboration.

In this path, you’ll gain a strong understanding of supervised and unsupervised machine learning algorithms. You’ll also learn some of the most important and used algorithms and techniques to build, customize, train, test and optimize your predictive models such as linear regression modeling, gradient descent, logistic regression modeling and decision tree and random forest modeling. Finally, you’ll learn optimization techniques that will help you to improve efficiency and accuracy.

In this path, you’ll become familiar with SQL syntax and master the frequently used commands. You’ll also learn how to use string patterns and ranges to query data, how to sort and group data, and how to write perfect queries to extract and analyze data from real SQL databases.