Data Science using R and Python.
Try to become a data science professionals due to the gap between supply and demand for data source us very huge.
It's not just coding it's a technofunctional.
Dedicate 3 months max to get an entry to Data science job.
If not now never.
Learn from the scratch.
What industry expects not just academic approach everything will be practical oriented .
Starting from Basics of Stats to implementation of machine learning algorithms will be taught in depth so that u can work from first day of your job.
What Industry Wants- First Learn Stats, Then Learn Algorithms and Techniques, Then Learn Tools and Code. Know how,when,what to do.
What Institutes teach just the opposite - First learn Tools (R /Py), Code, Then Learn Techniques and Algorithms, Then Learn Stats.
Absolutely the opposite order. Why? because Private Institutes want to teach max course in min time. So they choose low complexity curriculum and pedagogy. Easy to teach, profitable per batch.
and then students say, I got the skills why cant I get a job.
This is what we teach and we are unique.
Hello everyone -
I am starting a new Data Science Machine learning with R and Python Industry Oriented Training. Batch - Online training - Data science package - includes
1. Basic Stats.
2. Advanced Stats.
3. Basic R and Python.
4. Machine learning Algorithms.
5. Supervised Learning.
6. Unsupervised Learning.
7. Real time tools - Rstudio, R-Markdown, Spyder and Jupyter Notebook.
8. Time series.
9. Assignments.
10. Projects.
Complete real time training with practical knowledge.
If any one interested to go as a Data Science Professionals ping me.