About This Course

Artha Chanakya's comprehensive programming course for commerce students equips them with the essential skills to excel in the field of data analysis and programming. By covering topics such as algorithms, Python, database management, and data visualization, the course provides a strong foundation for students to pursue careers in data-driven fields.

Algorithms

Artha Chanakya's programming course for commerce students provides a solid foundation in algorithms. It starts by introducing fundamental concepts such as algorithm design and analysis. The course then delves into essential algorithms for sorting and searching, covering topics like bubble sort, quick sort, binary search, and linear search. Additionally, it explores various data structures, including arrays, linked lists, stacks, queues, trees, and graphs, and how they can be used to solve different programming problems.

Python

The course also covers the basics of Python programming. Students will learn the syntax, data types, control flow statements, and function creation. They will also gain hands-on experience with file handling, modules, packages, and error handling. The course emphasizes practical application, guiding students through real-world examples to solidify their understanding of Python programming concepts.

Database Management Systems

To complement their programming skills, students will learn about database management systems (DBMS). The course introduces SQL, the standard language for interacting with databases. Students will learn how to create and manage databases, execute SQL queries, and ensure data integrity. They will also explore advanced SQL concepts such as data modification commands and joins.

Data Visualization

The course concludes with a focus on data visualization using Power BI and Tableau. Students will learn how to import and transform data, create effective visualizations, and build interactive dashboards. By mastering data visualization techniques, students can communicate insights and findings clearly and effectively. The course also compares Power BI and Tableau, highlighting their strengths and weaknesses to help students choose the most suitable tool for their needs.