What’s covered in our Python Course?
The course focuses on a data-centric track, designed to prepare students for careers in data analysis, business analytics and other data related careers . Students will submit their assignments via GitHub, where all course materials will be hosted. We’ll use tools like Jupyter Notebook, Python IDEs, and cloud-based platforms such as Google Colab, which are widely used in the industry. This will help students become comfortable with handling data, working with datasets, performing analytics, and creating visualizations.
By the end of the Python course, students will be able to:
Apply fundamental Python programming concepts to solve real-world problems. Work effectively with various data structures and manipulate data efficiently. Utilize Pandas for data analysis and manipulation, including data cleaning, transformation, and aggregation.
Use SQL to interact with databases and retrieve relevant data. Scrape data from websites using Python libraries like BeautifulSoup and Requests. Store and retrieve data in different formats, such as databases, CSV, and JSON files. Create informative and visually appealing data visualizations using Matplotlib and Seaborn. Develop a comprehensive data pipeline to collect, clean, analyze, and visualize data. Apply ethical considerations when working with data, including privacy, bias, and fairness. Collaborate effectively with others on data-driven projects.
