Report Activity
Data Scientist Webinar
- Date:14/04/2022
- Vanue: Webex
- Position: Participant
- Organizer: ISS
- Category: Award
Mini Report
Attending the Data Scientist Webinar was a valuable learning experience for me. The webinar provided a comprehensive overview of the field of data science and the various techniques and tools used by data scientists.
One of the key takeaways from the webinar was the importance of understanding the business problem before diving into the data. The speakers stressed the need to understand the context and the goals of the analysis in order to properly frame the problem and select the appropriate techniques.
Another important aspect of data science covered in the webinar was data cleaning and preprocessing. I learned about different techniques for handling missing data, dealing with outliers, and transforming variables to make them more suitable for analysis.
The webinar also provided an introduction to various machine learning algorithms and their applications in data science. I learned about supervised and unsupervised learning, and the different types of models used for classification and regression tasks. I also gained an understanding of the basic concepts of deep learning, and the role it plays in the field of data science.
Overall, the webinar was very informative and provided a solid foundation for my understanding of data science. It has given me a clearer understanding of the field and its applications, and has helped me to identify areas in which I would like to further develop my skills. I believe that this knowledge will be extremely beneficial to my career, as data science is a rapidly growing field with many opportunities for those with the necessary skills and knowledge.
Self Reflection
I gained a lot of knowledge about regression and classification techniques and their application in solving real-world problems. The speaker provided useful insights into the job market for data scientists and the specific skills that are in high demand. Overall, I found the webinar to be informative and engaging, and I would recommend it to anyone interested in learning more about data science and data science careers.