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Bhupen Big Data trainer in Bangalore

Bhupen

Tutor

Yelahanka, Bangalore, India - 560064.

9 Students

Referral Discount: Get ₹ 500 off when you make a payment to start classes. Get started by Booking a Demo.

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Overview

I have 25 years of IT/Delivery mgmt and 15 years of experience in teaching.(at various organizations).

Languages Spoken

Bengali

Hindi Mother Tongue (Native)

English Proficient

Education

REVA university Pursuing

Doctor of Philosophy (Ph.D.)

Shibpur WB 1990

Bachelor of Engineering (B.E.)

IIM Joka 2009

Master of Business Administration (M.B.A.)

IIMC 2009

Executive Management

Indian Institute of Science 2011

Certificate course on Data Analytics

Address

Yelahanka, Bangalore, India - 560064

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Teaches

Big Data Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Big Data Training

10

Big Data Technology

Apache Spark

MongoDB Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in MongoDB Training

20

Teaching Experience in detail in MongoDB Training

Overall 24 years in IT industry. Led large size s/w development projects.

Cassandra Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Cassandra Classes

10

Data Science Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

18

Data science techniques

Machine learning, Python, Artificial Intelligence

Teaching Experience in detail in Data Science Classes

Lesson 1—Data Science Overview Know what Data Science is Discuss the roles and responsibilities of a Data Scientist List various applications of Data Science Understand how Data Science and Big Data work together Explore Data Science as a discipline What You’llLearn Understand how and why Data Science is gaining importance Understand what Python is and what problems it resolves Lesson 2 –Data Analytics Overview Data Analytics process and its steps Skills and tools required for Data Analysis Challenges of the Data Analytics Process Data visualization techniques Hypothesis testing to analyze data Exploratory Data Analysis technique (EDA) Lesson 3 –Statistical Analysis and Business Applications The difference between statistical and non-statistical analysis The statistical analysis process Mean, median, mode, and percentile Hypothesis testing and the Chi square test Types of frequencies Data distribution and the various methods of representing it The two major categories of statistical analysis and their differences Correlation matrix and its uses Lesson 04—Python: Environment Setup and Essentials How to install Anaconda and Jupyter notebook Some of the important data types supported by Python Data structures such as lists, tuples, sets, and dicts Slicing and accessing the four data structures Few basic operators and functions What You’ll Learn Some important control flow statements Lesson 5—Mathematical Computing with Python (NumPy) What NumPy is and why it is important Basics of NumPy, including its fundamental objects Create and print a NumPy array Use shape manipulation and copying methods Execute linear algebraic functions Carry out basic operations in NumPy Lesson 06—Python: Scientific computing with Python (SciPy) Why SciPy is needed The characteristics of SciPy The sub-packages of SciPy What You’ll Learn SciPy Sub-packages such as Optimization, Integration, Linear Algebra, Statistics, Weave, and IO Lesson 7—Data Manipulation with Pandas Pandas and its features Creating Series and DataFrame with data inputs Learning how to handle missing values Handling vectorized operations Viewing, selecting, and accessing elements in a data structure Analyzing data with different data operation methods Lesson 8—Machine Learning with Scikit–Learn What machine learningis and why it is important The machine learning approach Relevant terminologies that help you understand a dataset Features of supervised and unsupervised learning models Algorithms such as regression, classification, clustering, and dimensionality reduction Lesson 9 —Natural Language Processing (NLP) with SciKit Learn What is Natural Language Processing How Natural Language Processing is helpful Modules to load content and category Applying feature extraction techniques

Courses

Documents (2)

NoSQL - top considerations

Best Practices

Reviews (9)

5 out of 5 9 reviews

Bhupen https://s3-ap-southeast-1.amazonaws.com/tv-prod/member/photo/2907681-small.jpg Yelahanka
5.0059
Bhupen
D

Cassandra

"He is very flexible with the timings. He has in depth knowledge in cassandra. He used to explain the concepts to the students any number of times to make him/her to understand. Now I am working on cassandra because of his guidance and support. "

Bhupen
V

Python Training

"I have some of overview knowledge of python and I learn to web development of python and machine learning of python. "

Bhupen
K

MongoDB

"Thanks Bhupen. Sharing knowledge in understanding way. While going through I face other technical issue, Mr Bhupen handle awesome. When we have doubts and if share our thoughts he will accept way to improve learning for both. Practical oriented session for mostly for Mongo DB session with sharing theory concept. "

Bhupen
P

MongoDB

"I took dba course for Mongo db and learnt lot from him. He is different from the professional teachers who just want to complete the course and get away. He will teach at your pace, be flexible and will lend a hand even after course is over. He teaches by practical implementation on Google cluster Unix machines and setting up ops manager which is as per the market demand. I am now preparing for dba certification in Mongo db and might go for more trainings in Cassandra or node js from him. "

Have you attended any class with Bhupen? Write a Review

FAQs

1. Which classes do you teach?

I teach Big Data, Cassandra , Data Science and MongoDB 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 10 years.

Teaches

Big Data Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Big Data Training

10

Big Data Technology

Apache Spark

MongoDB Training

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in MongoDB Training

20

Teaching Experience in detail in MongoDB Training

Overall 24 years in IT industry. Led large size s/w development projects.

Cassandra Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Cassandra Classes

10

Data Science Classes

Class Location

Online (video chat via skype, google hangout etc)

Student's Home

Tutor's Home

Years of Experience in Data Science Classes

18

Data science techniques

Machine learning, Python, Artificial Intelligence

Teaching Experience in detail in Data Science Classes

Lesson 1—Data Science Overview Know what Data Science is Discuss the roles and responsibilities of a Data Scientist List various applications of Data Science Understand how Data Science and Big Data work together Explore Data Science as a discipline What You’llLearn Understand how and why Data Science is gaining importance Understand what Python is and what problems it resolves Lesson 2 –Data Analytics Overview Data Analytics process and its steps Skills and tools required for Data Analysis Challenges of the Data Analytics Process Data visualization techniques Hypothesis testing to analyze data Exploratory Data Analysis technique (EDA) Lesson 3 –Statistical Analysis and Business Applications The difference between statistical and non-statistical analysis The statistical analysis process Mean, median, mode, and percentile Hypothesis testing and the Chi square test Types of frequencies Data distribution and the various methods of representing it The two major categories of statistical analysis and their differences Correlation matrix and its uses Lesson 04—Python: Environment Setup and Essentials How to install Anaconda and Jupyter notebook Some of the important data types supported by Python Data structures such as lists, tuples, sets, and dicts Slicing and accessing the four data structures Few basic operators and functions What You’ll Learn Some important control flow statements Lesson 5—Mathematical Computing with Python (NumPy) What NumPy is and why it is important Basics of NumPy, including its fundamental objects Create and print a NumPy array Use shape manipulation and copying methods Execute linear algebraic functions Carry out basic operations in NumPy Lesson 06—Python: Scientific computing with Python (SciPy) Why SciPy is needed The characteristics of SciPy The sub-packages of SciPy What You’ll Learn SciPy Sub-packages such as Optimization, Integration, Linear Algebra, Statistics, Weave, and IO Lesson 7—Data Manipulation with Pandas Pandas and its features Creating Series and DataFrame with data inputs Learning how to handle missing values Handling vectorized operations Viewing, selecting, and accessing elements in a data structure Analyzing data with different data operation methods Lesson 8—Machine Learning with Scikit–Learn What machine learningis and why it is important The machine learning approach Relevant terminologies that help you understand a dataset Features of supervised and unsupervised learning models Algorithms such as regression, classification, clustering, and dimensionality reduction Lesson 9 —Natural Language Processing (NLP) with SciKit Learn What is Natural Language Processing How Natural Language Processing is helpful Modules to load content and category Applying feature extraction techniques

Courses

5 out of 5 9 reviews

Bhupen
D

Cassandra

"He is very flexible with the timings. He has in depth knowledge in cassandra. He used to explain the concepts to the students any number of times to make him/her to understand. Now I am working on cassandra because of his guidance and support. "

Bhupen
V

Python Training

"I have some of overview knowledge of python and I learn to web development of python and machine learning of python. "

Bhupen
K

MongoDB

"Thanks Bhupen. Sharing knowledge in understanding way. While going through I face other technical issue, Mr Bhupen handle awesome. When we have doubts and if share our thoughts he will accept way to improve learning for both. Practical oriented session for mostly for Mongo DB session with sharing theory concept. "

Bhupen
P

MongoDB

"I took dba course for Mongo db and learnt lot from him. He is different from the professional teachers who just want to complete the course and get away. He will teach at your pace, be flexible and will lend a hand even after course is over. He teaches by practical implementation on Google cluster Unix machines and setting up ops manager which is as per the market demand. I am now preparing for dba certification in Mongo db and might go for more trainings in Cassandra or node js from him. "

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Have you attended any class with Bhupen? Write a Review

Bhupen describes himself as Tutor. He conducts classes in Big Data, Cassandra and Data Science. Bhupen is located in Yelahanka, Bangalore. Bhupen takes at students Home, Regular Classes- at his Home and Online Classes- via online medium. He has 20 years of teaching experience . Bhupen is pursuing Doctor of Philosophy (Ph.D.) from REVA university. Bhupen has completed Bachelor of Engineering (B.E.) from Shibpur WB in 1990, Master of Business Administration (M.B.A.) from IIM Joka in 2009, Executive Management from IIMC in 2009 and Certificate course on Data Analytics from Indian Institute of Science in 2011. He is well versed in Bengali, English and Hindi. Bhupen has got 9 reviews till now with 100% positive feedback.

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