Sector 22, Dwarka, Delhi, India - 110077.
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Hindi
English
IIT BOMBAY 2005
Bachelor of Technology (B.Tech.)
Coursera 2019
Machine Learning
Sector 22, Dwarka, Delhi, India - 110077
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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
Seeker background catered to
Corporate company, Educational Institution, Individual
Certification provided
No
Python applications taught
Data Science with Python, Data Analysis with Python , Regular Expressions with Python , Data Visualization with Python, Machine Learning with Python
Teaching Experience in detail in Python Training classes
The course will be almost 100% driven through live demonstration and exercises. The individual sessions will focus on Python programming and its different Libraries that are most commonly used in data analytics projects on a daily basis. Starting from the basics, the course will take the trainees to a level where they can write codes independently to find data-driven solutions of common data analytics problems. Another core aspect of this training and how it would differ from the other commonly available Python Data Sciences courses is that, it will have programming assignments based on real-world analytics problems (Beginner to intermediate level), that are expected to give more context of Python's usage in Data Analytics industry All in All, this course would focus more on Python application by solving business problems based on real-life resembling data, thus enabling you to get more practical exposure and thus taking you closer to being job-ready.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
6
Data science techniques
Machine learning, R Programming, Python, SAS
Teaching Experience in detail in Data Science Classes
The duration of course and content (level/complexity) is something which depends on Trainee requirement. The idea behind this course/training is to package the data analytics skill-set and give a wider perspective of i) DATA, ii) Programming Tool, iii) Business Problem solving. In terms of complexity level, the course would intend to start from data processing, advance data manipulation, making assumptions/ Hypothesis, analyzing variable relations, basics of inferential statistics and statistical/ML model development.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
6
Data analysis concepts taught
Regression Analysis, Cluster Analysis, Time Series Analysis, Prediction Analytics
Teaching Experience in detail in Data Analysis Classes
The duration of course and content (level/complexity) is something which depends on Trainee requirement. The idea behind this course/training is to package the data analytics skill-set and give a wider perspective of i) Data analysis, and ii) Business Problem solving. In terms of complexity level, the course would intend to start from data processing, advance data manipulation, making assumptions/ Hypothesis, analyzing variable relations, basics of inferential statistics and predictive model development.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Microsoft PowerPoint Training classes
6
Teaching Experience in detail in Microsoft PowerPoint Training classes
PowerPoint is widely used across various industries, be it Consulting, IT, IT&ES, KPOs or Processes/Operations, etc. It takes a while for someone to get good at making good presentation documents both in terms of 'Putting the right content' and 'How to put it best'. Focus of this course/training will be to i) Start from the basics, familiarizing with MS PPT ii) how to show what information using MS PPT features, iii) Best practices and relevant cases/assignments
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Microsoft Excel Training classes
10
Teaches following Excel features
Basic Excel, Advanced Excel
Teaching Experience in detail in Microsoft Excel Training classes
Have conducted both Classroom and Online training sessions for both College freshers and experienced professionals. Focus on my training sessions is to take up real-world business problems based on real-life resembling data. Training content includes: Basic and Advance Excel functions (including Arrays, etc.) for data processing and analysis, visualization and essentials of automation (using intermediate level VBA exercises)
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
8
Experience in School or College
Experience of conducting Applied Statistics Training for Data Analytics professionals (class size of 20-30 trainees). The core topics covered in these sessions: i) Basics of Statistics, ii) Exploratory Data Analysis, iii) Probability and Probability Distributions, iv) Random Processes, v) Inferential Statistics, vi) Applying Statistical concepts in Uni-variate and Multivariate Regression Analysis.
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc Statistics
BSc Statistics Subjects
Statistical Inference, Probability and Statistical Methods, Linear Models, Applied Statistics, Real Analysis, Numerical Analysis
Teaching Experience in detail in BSc Tuition
Experience of conducting Applied Statistics Training for Data Analytics professionals (class size of 20-30 trainees). The core topics covered in these sessions: i) Basics of Statistics, ii) Exploratory Data Analysis, iii) Probability and Probability Distributions, iv) Random Processes, v) Inferential Statistics, vi) Applying Statistical concepts in Uni-variate and Multivariate Regression Analysis.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in SAS Base
10
Teaching Experience in detail in SAS Base
The course will be almost 100% driven through live demonstration and exercises. The individual sessions will focus on SAS programming and its different Procedures that are most commonly used in data analytics projects on a daily basis. Starting from the basics, the course will take the trainees to a level where they can write SAS programs independently to find data-driven solutions of common data analytics problems. Another core aspect of this training and how it would differ from the other commonly available Base SAS courses is that, it will have programming assignments based on real-world analytics problems (Beginner to intermediate level), that are expected to give more context of SAS' usage in Data Analytics industry All in All, this course would focus more on SAS application by solving business problems based on real-life resembling data, thus enabling you to get more practical exposure and thus taking you closer to being job-ready.
1. Which classes do you teach?
I teach BSc Tuition, Data Analysis, Data Science, Microsoft Excel Training, Microsoft PowerPoint Training, Python Training and SAS Base 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 6 years.
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
Seeker background catered to
Corporate company, Educational Institution, Individual
Certification provided
No
Python applications taught
Data Science with Python, Data Analysis with Python , Regular Expressions with Python , Data Visualization with Python, Machine Learning with Python
Teaching Experience in detail in Python Training classes
The course will be almost 100% driven through live demonstration and exercises. The individual sessions will focus on Python programming and its different Libraries that are most commonly used in data analytics projects on a daily basis. Starting from the basics, the course will take the trainees to a level where they can write codes independently to find data-driven solutions of common data analytics problems. Another core aspect of this training and how it would differ from the other commonly available Python Data Sciences courses is that, it will have programming assignments based on real-world analytics problems (Beginner to intermediate level), that are expected to give more context of Python's usage in Data Analytics industry All in All, this course would focus more on Python application by solving business problems based on real-life resembling data, thus enabling you to get more practical exposure and thus taking you closer to being job-ready.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
6
Data science techniques
Machine learning, R Programming, Python, SAS
Teaching Experience in detail in Data Science Classes
The duration of course and content (level/complexity) is something which depends on Trainee requirement. The idea behind this course/training is to package the data analytics skill-set and give a wider perspective of i) DATA, ii) Programming Tool, iii) Business Problem solving. In terms of complexity level, the course would intend to start from data processing, advance data manipulation, making assumptions/ Hypothesis, analyzing variable relations, basics of inferential statistics and statistical/ML model development.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Analysis Classes
6
Data analysis concepts taught
Regression Analysis, Cluster Analysis, Time Series Analysis, Prediction Analytics
Teaching Experience in detail in Data Analysis Classes
The duration of course and content (level/complexity) is something which depends on Trainee requirement. The idea behind this course/training is to package the data analytics skill-set and give a wider perspective of i) Data analysis, and ii) Business Problem solving. In terms of complexity level, the course would intend to start from data processing, advance data manipulation, making assumptions/ Hypothesis, analyzing variable relations, basics of inferential statistics and predictive model development.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Microsoft PowerPoint Training classes
6
Teaching Experience in detail in Microsoft PowerPoint Training classes
PowerPoint is widely used across various industries, be it Consulting, IT, IT&ES, KPOs or Processes/Operations, etc. It takes a while for someone to get good at making good presentation documents both in terms of 'Putting the right content' and 'How to put it best'. Focus of this course/training will be to i) Start from the basics, familiarizing with MS PPT ii) how to show what information using MS PPT features, iii) Best practices and relevant cases/assignments
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Microsoft Excel Training classes
10
Teaches following Excel features
Basic Excel, Advanced Excel
Teaching Experience in detail in Microsoft Excel Training classes
Have conducted both Classroom and Online training sessions for both College freshers and experienced professionals. Focus on my training sessions is to take up real-world business problems based on real-life resembling data. Training content includes: Basic and Advance Excel functions (including Arrays, etc.) for data processing and analysis, visualization and essentials of automation (using intermediate level VBA exercises)
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in BSc Tuition
8
Experience in School or College
Experience of conducting Applied Statistics Training for Data Analytics professionals (class size of 20-30 trainees). The core topics covered in these sessions: i) Basics of Statistics, ii) Exploratory Data Analysis, iii) Probability and Probability Distributions, iv) Random Processes, v) Inferential Statistics, vi) Applying Statistical concepts in Uni-variate and Multivariate Regression Analysis.
Type of class
Crash Course, Regular Classes
Class strength catered to
One on one/ Private Tutions, Group Classes
Taught in School or College
Yes
BSc Branch
BSc Statistics
BSc Statistics Subjects
Statistical Inference, Probability and Statistical Methods, Linear Models, Applied Statistics, Real Analysis, Numerical Analysis
Teaching Experience in detail in BSc Tuition
Experience of conducting Applied Statistics Training for Data Analytics professionals (class size of 20-30 trainees). The core topics covered in these sessions: i) Basics of Statistics, ii) Exploratory Data Analysis, iii) Probability and Probability Distributions, iv) Random Processes, v) Inferential Statistics, vi) Applying Statistical concepts in Uni-variate and Multivariate Regression Analysis.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in SAS Base
10
Teaching Experience in detail in SAS Base
The course will be almost 100% driven through live demonstration and exercises. The individual sessions will focus on SAS programming and its different Procedures that are most commonly used in data analytics projects on a daily basis. Starting from the basics, the course will take the trainees to a level where they can write SAS programs independently to find data-driven solutions of common data analytics problems. Another core aspect of this training and how it would differ from the other commonly available Base SAS courses is that, it will have programming assignments based on real-world analytics problems (Beginner to intermediate level), that are expected to give more context of SAS' usage in Data Analytics industry All in All, this course would focus more on SAS application by solving business problems based on real-life resembling data, thus enabling you to get more practical exposure and thus taking you closer to being job-ready.
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