Highlights….
1. Sensitization to Big Data Analytics and trends. Requires no knowledge of programming or database.
2. How to make queries your own setup of Database and other scripts. Introduction to Python, R, SQL and MongoDB (noSQL).
3. This course helps you understand how to pull big unstructured using NOSQL and do some computation using python. You have a choice of using R and Python after you have pulled data. Playing with missing data is the most important things and for that I will show five important commands.
4. Contains right blend of learning and practice (Ratio 6:4).Highly flexible and tailored as per needs of individual based on his preferred choice of investment theme
5. The more your reduce data before pulling the easier it would be do the computation. Utility functions for data cleaning, charting, looping, error handling will be explained. Charts and pictures in python are sometimes not so intuitive so we would see them on R.
6. Essential Financial Libraries in Python and R. Exploring applications in Equity and CMBS (for linking all properties linked) Fixed Income Analytics.
Optional: Introduction to Regression, clustering, Charting, Monte Carlo Simulation, Map Objects for Financial Modeling
Optional Bonus: Essential SQL Queries – Linking SQL with Excel using VBA
Optional Bonus: Charting, Visualization and Latex integration
Instructor
Shivgan Joshi (929 three 56 5046)
Linkedin (Instructor): https://www.linkedin.com/in/shivganjoshi/
Udemy: https://www.udemy.com/user/shivganjoshi2/
Python Class in Big data science by Expert Instructor Consultant
1 on 1 Price of $40-$60 /hr (based on slot selected in Elmhurst Queens)
Below are small group courses in Queens:
Python 101 (Batch size 2)
3 hours
Print Hello World Azure Notebooks & Anaconda Book and Content Functions (Arguments and Return) Loops (For While) If else List/Dictionary
Intro to Python (Intermediate)
9 hours in total
3 sessions/days of 3 hrs
Print Hello World Azure Notebooks & Anaconda Book and Content Functions (Arguments and Return) Loops (For While) If else List/Dictionary
Nested Loops with if else List/Dictionary (JSON) Class Lambda Functions List Comprehension
Python Immersive
35 hours in total
6 sessions/days of 6 hours each
Print Hello World Azure Notebooks & Anaconda Book and Content Functions (Arguments and Return) Loops (For While) If else List/Dictionary
Nested Loops with if else List/Dictionary (JSON) Class Lambda Functions List Comprehension
File Handling Web Scraping Exception handling SQLite Python
Capstone Project for Github Portfolio
Python for Data Science
35 hours in total
5 sessions/days of 7 hours each
Print Hello World Azure Notebooks & Anaconda Book and Content Functions (Arguments and Return) Loops (For While) If else List/Dictionary
Nested Loops with if else List/Dictionary (JSON) Class Lambda Functions List Comprehension
Pandas Plotting Time Series Data Cleaning
Capstone Project for Github Portfolio
Instructor:
Shivgan Joshi (929 three 56 5046)
Linkedin (Instructor): https://www.linkedin.com/in/shivganjoshi/
Udemy: https://www.udemy.com/user/shivganjoshi2/
Dr. A Vora
Email us at: avora@mtu.edu
Or Call Us at : +1 31228 56886
Cloud AWS Big Data Course
36 hours
Learn AWS Amazon Web Services to run analytics on Ubuntu using Python Anaconda on the cloud.
Learn basics of AWS setup and Ubuntu Commands, with Python setup
Experienced tutor available in Manhattan.
Intro for AWS certification.
Learn Scala for basic implementation on Ubuntu AWS – makes you ready for the job market!
Basics of Python, Java, Javascript and NodeJS
Big data tools:
Kafka, Elastic Map Reduce, Avro, Parque, Storm, Hbase
– MongoosDB
– Solr/Lucene
Cassandra, Spark
Data mining / machine learning software packages (e.g., Spark ML, scikit-learn, H2O, Weka, Keras)
Version control systems (git) and comfortable using command-line tools
Semantic web technology (e.g., RDF, OWL, SPARQL)
Knowledge of search technologies (e.g., Solr, ElasticSearch)
GitHub, Kaggle, KDD contributions earn major props
Topics covered:
Introduction to Big Data, NoSQL and MongoDB, Hello World program in all three platforms, SQL for structured Data Analysis like Joins, nested queries
Python and R for Generic usage: Loops, Logics, Datatypes, Charting
Big Data applications in Equity, Fixed Income, Risk [with some reference to MATLAB HPC and Financial Toolboxes]
Quantitative computations: Quant Methods like Regression, Charts, Clustering& Monte Carlo, Simulation in Python
Project on Big Data using MongoDB, Pipeline, Group by, Map reduce, brackets, inverted commas, Applicants computer after connecting and configuring his computer
Course Benefits:
Getting ready for the next big data revolution in Finance.
Understand the basics of all major languages used for Big Data Analytics.
Understanding the importance of handling missing data, visualization limitations and limitations of various methods used.
Ankit Vora, PhD
Ankit Vora is a research scientist and a co-founder of a startup situated in the city of New York, and his research focuses on detecting cancer using machine learning algorithms. He also works on automating agricultural machinery using artificial intelligence and building smart robotics and drones for a host of applications. Ankit did his doctoral work on Meta-Materials for solar cells at the Michigan Technological University. He has an extensive teaching and mentoring experience; from mentoring university students, teaching to academic and industry professionals. Ankit has been teaching Python and other programming languages for the past five years to the industry professionals. As Python is gaining momentum and becoming popular, it is finding applications in the high demand fields such as data science, machine learning, artificial intelligence, big data, etc. Ankit has been actively involved in training and nurturing professionals into these high demand fields, especially data science and machine learning using Python. He also does professional consulting for industrial and academic projects.
Ankit’s link to professional profile on LinkedIn: https://www.linkedin.com/in/drankitvora
Google Scholar profile: https://scholar.google.com/citations?user=8rrNVZwAAAAJ&hl=en
Shivgan Joshi
Shivgan Joshi is an executive trainer and talent acquisition consultant at QcFinance and has worked in the field of data science across disciplines, including engineering, investment banking, and technology. Previously, Joshi served as data science manager for BaiNYC and co-founder of QcFinance. At QcFinance, Joshi developed Python, R, SQL, MatLab, VBA, and BAT courses focused on all aspects of finance, including trading and modeling of quantitative portfolios.
He is passionate about elevating businesses through the implementation of data science and data analytics. He has delivered online, live, and interactive training sessions to students and executives around the globe. Joshi realizes the value of adequately leveraging data and commits to helping businesses to do successfully. He holds an undergraduate and graduate degree in data science as well as a Master of Business Administration.
Linkedin (Instructor): https://www.linkedin.com/in/shivganjoshi/
Udemy: https://www.udemy.com/user/shivganjoshi2/
Or Call Us at : 1 31228 56886
do NOT contact me with unsolicited services or offers