Free online coursePython data science and Big data

Course Description

Welcome to "Python Data Science and Big Data." This comprehensive course spans a total of 3 hours, offering an enriching dive into the world of Data Science and Big Data, perfect for both beginners and those looking to sharpen their skills. With an impressive average rating of 4 out of 5 stars, this course has captured the admiration of many in the Information Technology industry, particularly within the Data Science subcategory.

The course commences with an introductory segment in Hindi, which delves into the fundamental concepts of Big Data Analysis. This section not only answers the "What" and "Why" of Big Data but also effectively demonstrates the "How" of conducting Big Data Analysis, establishing a robust foundation for learners.

Next, learners are guided through the installation and demonstration of Jupyter Notebook. This segment, also presented in Hindi, ensures that participants are well-equipped with the necessary tools to engage fully with the course material. The hands-on approach facilitates an easy and seamless setup, fostering a practical understanding of the environment they will be working in.

Diving deeper, the course explores Numpy, a critical Python library for numerical computing. Initial lessons introduce Numpy to beginners, followed by detailed tutorials on array functions and slicing. Through these tutorials, learners gain proficiency in working with Numpy arrays, an essential skill for any aspiring data scientist.

Building on these fundamentals, the course progresses to more advanced Numpy functionalities. Topics such as axis operations, sorting, and other useful functions are covered in detail, enabling learners to manipulate and analyze data arrays with greater efficiency. Expert tips on using functions like Argsort, Argmin, and Argmax are also shared, enhancing the learners' analytical toolkit.

The Pandas module, another cornerstone of data science in Python, is thoroughly explored. From creating the first DataFrame to slicing and adding columns, the course covers all necessary skills. Learners also become proficient in reading and writing CSV files, a common requirement in data-related tasks.

In addition to basic DataFrame operations, the course includes lessons on merging DataFrames and working with JSON data in Python. These skills are critical for handling complex data manipulation tasks that are frequently encountered in real-world data science projects.

Finally, the course introduces Matplotlib, a powerful library for data visualization. Through detailed tutorials, participants learn to create informative and visually appealing plots, an invaluable skill for presenting data insights.

Overall, "Python Data Science and Big Data" delivers an engaging and practical learning experience, covering a wide array of essential data science skills, all communicated effectively in Hindi. Whether you are a beginner or an experienced professional aiming to enhance your data science capabilities, this course provides a solid foundation and a wealth of knowledge to help you succeed in the field of Data Science and Big Data Analysis.