Data professionals should choose the most effective and efficient tool for the task at hand. In some cases Python may be the right fit while R would be terrible in getting the job done, and in other cases the opposite may be true. Additionally, these coding languages are the most in-demand and essential, not only in data professions but also in several other tech fields. In this course Megan Lieu covers the use cases, pros and cons, and similarities and differences between using Python, R, and SQL in data projects. Megan covers the fundamentals you need to know for each language, shares real-world applications and examples for each, and shows you some case studies to show how you can use Python, R, and SQL to build your own projects.