Future Journey as a Data Scientist

Future

Difference in approach and practices

The course taught me new skills such as coding in the R programming language, using visualizations to interpret data, and using Docker containers to collaborate on a project.
My approach to data preprocessing has changed; prior to this course, I did not place a high value on EDA (Exploratory Data Analysis), but after this course, I realized that EDA is critical in data science. EDA assists you in better understanding the data set and making life easier in the subsequent process. For instance, during EDA, identifying key variables for model fitting can help you improve the fit’s outcomes.
Using Github for our projects allowed me to become much more acquainted with the tool than I had previously. Creating Shiny apps was also an interesting experience in which I learned how to create an interactive app with UI using R.
This course also taught me about docker containers and APIs. Overall, the course taught me a lot about statistics and how to apply my knowledge to perform classifications, predictions, and other data science concepts in the R programming language.
It also assisted me in learning and gaining practical experience with a variety of important tools and libraries such as R studio, Shiny apps, Docker, dplyr, ggplot2, API's, and so on.

I am excited to pursue a career in data science. This course, in my opinion, was a significant step in that direction. The projects and assignments encouraged me to practically apply what I learnt, which I will utilize in the future. I am also interested in working in the subject of deep learning and have enrolled in a Neural Network course in my upcoming semester.
I also want to improve my data modelling skills. Also, I have always wanted to learn Docker but never had the time.
Now that I have been introduced to it in this course, I’m intending to delve deeper into the fundamentals of Docker and create an app on it.
I would like to make a Shiny app, for example, one that allows users to retrieve scripts or EDA results by simply providing a dataset as input.
My ultimate objective is to work as a data scientist for a reputable organization and use my skills to provide useful research to diverse areas such as health care and food industry. Looking forward to it. Wish me luck!