Data Manipulation with Python, Pandas, R,SQL and Alteryx

In the era of Big Data, the ability to manipulate and analyze complex datasets is not just an advantage; it's a necessity. The Comprehensive Data Manipulation course offers a deep dive into the world of data manipulation using five potent tools: Python, Pandas, R, SQL, and Alteryx. Whether you're a beginner just embarking on a career in data analysis, or a seasoned professional looking to expand your skillset, this course offers a robust foundation and advanced techniques in data manipulation.

This course adopts a project-based approach, reinforcing learning through practical application. Starting with an overview of data manipulation and its role in data analysis, the course progresses to an in-depth exploration of each tool, covering their installation, setup, features, and unique strengths. Python, a versatile language renowned for its readability, is the first tool we tackle.

Here, you'll learn the basics of Python programming for data manipulation, moving onto mastering the use of Python's powerful library, Pandas. With Pandas, you'll explore data cleaning, preprocessing, and analysis. Handling missing data, converting data types, parsing dates, and more become straightforward with this handy library.

Next, we delve into SQL, a standard language for managing data held in relational databases. Through this section, you'll grasp SQL commands and functions, enabling you to interact with databases, retrieve, and manipulate data with precision. We then transition to R, another popular language for data analysis, with a focus on dplyr and tidyr packages.