From beginning, I was extensively interested in Problem Solving.
I started coding from first job. I was scared in the beginning because I had never written a single code before.
But soon I realized that its not about the code or syntax, its about the algorithm you use.
If you know how to solve that problem, than you just need to find the resources to solve that problem.
Since then, I always considered coding assignment or project as a problem statement and C, C++, Python or any programming language as a tool to get the solution.
Now I am working as a data scientist where I work on multiple Python libraries like Numpy, Pandas, Seaborn, Matplotlib, Beautiful soup, NLTK, Scikit Learn.
I also have an experience in R programming, Tableau.
Now, as I have mentioned too many libraries, but each library has its own functionality - Pandas for data analytics, beautiful soup for we scraping, NLTK for text mining, Seaborn for Visualization etc, so it depends on a project which library you will be using.
Soon I will be releasing courses for all above libraries and tools.
I am building this course to get individuals like me comfortable with all above tools, so that if we get a chance to work on them or to answer any question or to do any assignment or project, we shouldn't be having any concern or suspicion.