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Yelahanka, Bangalore, India- 560064.

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Big Data Training

Big Data Technology

Apache Spark

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Big Data Training


MongoDB Training

Class Location

Online (video chat via skype, google hangout etc)

Years of Experience in MongoDB Training


Teaching Experience in detail in MongoDB Training

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

Cassandra Classes

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Cassandra Classes


Data Science Classes


Python, Machine learning, Artificial Intelligence

Class Location

Student's Home

Tutor's Home

Online (video chat via skype, google hangout etc)

Years of Experience in Data Science Classes


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

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5.0 from 8 reviews


- by Vijay anand yadav

attended Python Training

posted on 06 Oct, 2018

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


- by Karthikmunnappan.v

attended MongoDB

posted on 24 Feb, 2018

"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. "


- by Prateek Srivastava

attended MongoDB

posted on 01 Feb, 2018

"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. "


- by Swayam PC

attended MongoDB for Developer

posted on 28 Jan, 2018

"Thoroughly enjoyed the MongoDB lessons from Bhupen. He has commendable industry experience and good command on database topics and current happenings in the NOSQL/RDBMS world. His teaching style is hands-on and very detailed. The main I liked about Bhupen's teaching style is his flexibility and easy paced deliveries. MongoDB lessons were full of real life practical use cases backed by necessary script. I would definitely recommend Bhupen for any training requirement on MongoDB/Cassandra or Python/Spark. "


- by J v n srinivasulu

attended MongoDB for Developer

posted on 25 Jan, 2018

"Excellent experience on Mongo DB. He teaches with real time examples and resembles like spoon feeding. Am looking from him for more courses. Very reasonable and friendly learning. "


- by Bhanu Makineni

attended MongoDB

posted on 25 Dec, 2017

"Bhupen did an exceptional job presenting the material by providing the training on each and every topic. He set up by explaining what he was going to teach us, summarized, and proceeded to teach, providing relevant real life examples. Bhupen is very thorough and professional. He made the code very understandable. I was very impressed with Bhupen's teaching methods and presentation of the regulations. I will give 5 star rating to him and highly recommended. "


- by Chellatore Maruthi Prasanna

attended MongoDB for Developer

posted on 06 Nov, 2017

"This is one of the best training i have ever attended, course has been designed in such a way that we can learn and practice at the same time, coming to instructor Bhupen, undoubtedly the best, he is a real techie guy with so much command on the subject. Enjoyed training with you sir. Especially the slides and other material for demonstration are really helpful. "


- by Abhishek Roy

attended MongoDB for Developer

posted on 03 May, 2017

"Practical examples were shown with combination of real time examples. Every session was interactive and I had a good learning. Assisted with project related assignments too. Discussed on current market demand and requirement for this skill. Presentation skills and study materials are noteworthy. "

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 Hindi, Bengali, English, English, Hindi and Hindi. Bhupen has got 8 reviews till now with 100% positive feedback.

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