Data Science Expert
About
The Course Includes all the aspects of Data Science and Machine Learning.
1. Python Basics
2. Mathematical foundations
3. 60+ Algorithms
4. Methods of Solving the Hardest Real-life Problems.
5. 100+ Python Notebooks
6. Self Generated Notes
Interview Section
1. Creating a Strong and Unique Resume
2. Creating an Online portfolio
3. Training of Lead Generation tools for job Search
4. Creating Daily Blogs
5. Hidden Tips and Tricks
Since I like Problem Solving And Data Science is all about what you solve
No reviews (yet)
Frequently asked questions
What is your typical process for working with a new student?
I understand what is the student Requirements first then List out his weakness in the following domain and make a Syllabus were he really can excel in his abilities and Skills
What education and/or training do you have that relates to your work?
I am a Certified Data Scientist and a Machine Learning Engineer and awarded Certification from organizations like Stanford, Imarticus, Alberta University, Intel, Microsoft.
Do you have a standard pricing system for your lessons? If so, please share the details here.
My course is for 2 months if it's going on weekdays and 4-5 months for weekends.
So for
2 Months = 700$(2 hours per day)
4-5 months = 1200$(4 hours per day)
How did you get started teaching?
Since I was working for an organization where I was the tutor and training students for them. so I got entered in teaching domain.
What types of students have you worked with?
Professionals, High School Level, Graduate Level
Describe a recent event you are fond of.
I usually visit Meetups so an online event by deeplearning.ai I visited as participant and was 5th in the hackathon
What advice would you give a student looking to hire a teacher in your area of expertise?
A teacher should have the following quality services
1. Own Stuff to teach
2. Prompt Response to questions
3. Innovative in domain
What questions should students think through before talking to teachers about their needs?
1. Requirement
2. Syllabus to be covered
3. after course help