Kalkaji1, Delhi, India - 110019.
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Hindi Mother Tongue (Native)
English Proficient
Uttar Pradesh Technical University 2012
Bachelor of Technology (B.Tech.)
Galgaotias Business School 2014
Master of Business Administration (M.B.A.)
SAS Institute 2016
SAS Certified Business Analyst and Predictive Modeller
Kalkaji1, Delhi, India - 110019
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Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
5
Data science techniques
Python, Machine learning, R Programming, SAS
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
6
Course Duration provided
1-3 months, 3-6 months
Seeker background catered to
Corporate company, Educational Institution, Individual
Certification provided
No
Python applications taught
Data Analysis with Python , Machine Learning with Python, Data Extraction with Python , Web Scraping with Python , Data Science with Python, Data Visualization with Python
Teaching Experience in detail in Python Training classes
In this Course,I teach various techniques under Data Science and apply Machine Learning Algorithm with Python Language on Large Data. I also cover Deep Learning Algorithms for image classification problems. I start by clarifying difference between these terms AI, Machine Learning, Data Science , Data Analysis etc. I believe in Customization. I do not believe in "One Size Fit All"approach. Before starting the course I discuss extensively with students about their target/requirements in mind. And customize the course according to following inputs from students: 1. Tech/Non Tech Background 2. Relevant Work Experience in Analytics. 3. Prior Knowledge on Excel/BI Tools etc. 4. Managerial work Experience. 5. Comfort with Probability/Calculus/Math. 6. Time horizon to change/shift My students can be a 1. "College graduate aspiring to build career in Analytics/Data Science" 2. "10+ year experienced LIC agent who want to switch career into Data Science" 3. "5+ year experience Data Scientist who just want to upskill and want better compensation in his/her next switch " Few things which are common for all,the delivery of course which is listed below:- 1. (EC) - Exercise with Code (Code will be shared after every class on Google Docs/Github) 2. (DR) - Understanding of Concepts of Python through drawing explanations on online meeting tools (Gotomeeting /Zoom/MS-Paint). 3. (XL)- Excel Spreadsheet with operation performed(Mock/Actual) containing formulas (when required) 4. (LINK)- Links for understanding concepts in detail as homework on shared Google Drive/Sheet (when required)
1. Which classes do you teach?
I teach Data Science and Python Training Classes.
2. Do you provide a demo class?
Yes, I provide a free demo class.
3. How many years of experience do you have?
I have been teaching for 5 years.
Answered on 19/05/2020 Learn IT Courses/Data Analysis/Cluster Analysis
HR Analytics is your key to get into Analytical Role. Your HR recruitment experience will be base for your Candidature. Recruiters need smart HR executives who pick talent from the pool with the help of data insights. I can help you to get in touch some Senior recruiters who can help you find some suitable position in HR analytics. Kindly contact to discuss further.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
5
Data science techniques
Python, Machine learning, R Programming, SAS
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Python Training classes
6
Course Duration provided
1-3 months, 3-6 months
Seeker background catered to
Corporate company, Educational Institution, Individual
Certification provided
No
Python applications taught
Data Analysis with Python , Machine Learning with Python, Data Extraction with Python , Web Scraping with Python , Data Science with Python, Data Visualization with Python
Teaching Experience in detail in Python Training classes
In this Course,I teach various techniques under Data Science and apply Machine Learning Algorithm with Python Language on Large Data. I also cover Deep Learning Algorithms for image classification problems. I start by clarifying difference between these terms AI, Machine Learning, Data Science , Data Analysis etc. I believe in Customization. I do not believe in "One Size Fit All"approach. Before starting the course I discuss extensively with students about their target/requirements in mind. And customize the course according to following inputs from students: 1. Tech/Non Tech Background 2. Relevant Work Experience in Analytics. 3. Prior Knowledge on Excel/BI Tools etc. 4. Managerial work Experience. 5. Comfort with Probability/Calculus/Math. 6. Time horizon to change/shift My students can be a 1. "College graduate aspiring to build career in Analytics/Data Science" 2. "10+ year experienced LIC agent who want to switch career into Data Science" 3. "5+ year experience Data Scientist who just want to upskill and want better compensation in his/her next switch " Few things which are common for all,the delivery of course which is listed below:- 1. (EC) - Exercise with Code (Code will be shared after every class on Google Docs/Github) 2. (DR) - Understanding of Concepts of Python through drawing explanations on online meeting tools (Gotomeeting /Zoom/MS-Paint). 3. (XL)- Excel Spreadsheet with operation performed(Mock/Actual) containing formulas (when required) 4. (LINK)- Links for understanding concepts in detail as homework on shared Google Drive/Sheet (when required)
Answered on 19/05/2020 Learn IT Courses/Data Analysis/Cluster Analysis
HR Analytics is your key to get into Analytical Role. Your HR recruitment experience will be base for your Candidature. Recruiters need smart HR executives who pick talent from the pool with the help of data insights. I can help you to get in touch some Senior recruiters who can help you find some suitable position in HR analytics. Kindly contact to discuss further.
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