Basics of Python Data Wrangling
I. Details of the Event/Activity:
On May 24, 2024, I took an online
course about Python Data Wrangling on Great Learnings, a platform offering
numerous free online courses. The course, aimed at data enthusiasts and
professionals, provided a comprehensive understanding of data wrangling
principles, tools, and techniques using Python.
II. Reflections on the Webinar/Activity and Learnings:
The online Python Data Wrangling
course I took on Great Learnings offered a thorough overview of data wrangling
principles, tools, and techniques. I learned about the Python programming
environment, the importance of cleaning and transforming data, and the use of
libraries like Pandas and NumPy for efficient data manipulation. The course
emphasized practical application, including handling missing values, merging
datasets, and reshaping data. This experience has enhanced my data handling
skills, highlighted the importance of accurate data processing, and underscored
the need for continuous learning in data science. I now feel more equipped to
handle and prepare data for analysis effectively.
III. Reflections on Practical Implementation:
The knowledge acquired from this
online course can be applied to future data analysis projects. I learned how to
effectively use tools like Pandas and NumPy to clean and organize data, making
it ready for further analysis. The course also deepened my understanding of
Python data wrangling principles, providing valuable skills for my professional
endeavors in data science.
IV. Positive Feedback on the Event Organization:
Great Learnings offers numerous
free online courses, which include video tutorials and quizzes. This platform
is excellent for starting a data science journey, providing opportunities to
learn new skills.
V. Suggestions for Future Improvements:
I suggest that Great Learnings
offer a free online course certification that can be included on resumes. This
would make the platform even more appealing to students and professionals
looking to use Great Learnings as a stepping stone in their careers.
VII. Certificate
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