SJ's picture - Data Science Python SQL tutor in New York NY

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Mr. SJ Data Science Python

Masters in Sql, Python, Data Science · specializes in Data Science Python SQL · 31-35 years old male

"**Non Premium Account*** Cannot Reply to Messages*** Join my NYC Bootcamp: http://BootcampNYC.QcFinance.in Running Bootcamp on Data Science Analytics trainer on Excel, VBA, Python, R, SQL for Data Science and Analytics with experience of over 5 years. Developed several passive courses and runs QcFinance.in bootcamp for Data Science on Python, Blockchain, and SQL. Audience: data analysts or business more...

"**Non Premium Account*** Cannot Reply to Messages*** Join my NYC Bootcamp: http://BootcampNYC.QcFinance.in Running Bootcamp on Data Science Analytics trainer on Excel, VBA, Python, R, SQL for Data Science and Analytics with experience of over 5 years. Developed several passive courses and runs QcFinance.in bootcamp for Data Science on Python, Blockchain, and SQL. Audience: data analysts or business intelligence analysts (Python) Data Science Course Curriculum Machine Learning vs Statistical Modeling & Supervised vs Unsupervised Learning Machine Learning Languages, Types, and Examples Machine Learning vs Statistical Modelling Supervised vs Unsupervised Learning Supervised Learning Classification Unsupervised Learning Bio Five year of Tutoring experience with various organizations. Have learned who learned Analytics from various banks and companies. My online courses on Wiziq had several hundred registrants. My extensive experience from banks and tutoring helps me to tutor programming in a very relaxing and exciting manner. VBA Python R Excel SAS SQL using learning from both worlds. Quant Finance, CFA Quant, FRM Qannt courses taught with the help of Excel. Have a satellite team based out of India to support your questions that I might not be able to answer. Subject areas I created passive course includes: Quantitative Methods for GRE / SAT / GMAT, CFA L1, FRM L1, matlab/R/SPSS for Quant, Excel-VBA Programming, Quantitiative and Analytics Excel programming & VBA programming. I have taken courses on Excel optimization to make Excel programming more robust and make excel do the best for you. Sub topics: Basics of Excel: Vlookups, Hlookups, Index Match, Dependents, Data tables (1 way and 2 ways), Pivots, Charting, Filters, SQL integration, VBA coding, Address and indirect, Offset, Array functions, etc. Applications: Regression, Histograms, Monte carlo simulation, rank correlation, dashboards, more. Automation using VBA: Loops (for, do while, case), Recorder, Arrays and Matrices, if else, indexing, etc. I am an Electrical Engineering graduate, GAARP-FRM certified, PG Dip in Fin analysis and Risk Management, PG Diploma in IT, cleared CFA L1, International - MBA (15-16). This course provides data professional with the skills required to solve problems using Python SQL NoSQL and Big Data that involve large data sets such as predicting user behavior on their website, making decisions, or the best way to classify content. Individuals learn how to build the code necessary to be able to make predictions and create models. And is made exclusively for non programmers. Introduction to Python for Data Science: Pillars of programming: Python built-in Data types Concept of mutability and behavior of different Data structures Control flow statements: If, Elif and Else Definite and Indefinite loops: For and While loops Writing user-defined functions in Python Read and write Text and CSV files with python List comprehensions and Lambda How to start using Python Parsing information with Python Practice Python to solve the real-world tasks" less...

Details

years of tutoring: 3-5
students tutored: 50-100
travel distance: 30 miles
tutoring method: in-person (not online)
member for: 1 year and 4 months
award: apple

Contact

email: on file
phone: on file
website: on file

Education and Qualifications

school: Business India Inst of Finance

Bootcamp in Data Science Python Machine Learning BS in Electrical Engg, PG in Information Tech. MS in SQL Analytics Introduction to Python Anaconda Jupyter Data processing using Panda Web scraping using beautiful soup Regression and Monte Carlo intro Data visualization using matplot Introduction to SparkR At work I have learned how to optimize Excel VBA and R in a complete system. Each tool has its power and one needs to use the right tool in the right way. All of them can do the same things but optimization and perfection on how to use them in your quant system is something that I share with my learners.

New York, NY 10010
full address is on file

Subjects Tutored

General Ed
Science
Math
Numerical AnalysisProbability
Statistics
Computer & Internet
DatabaseMicrosoft Excel
Oracle DatabaseProgramming
PythonR
SASSQL
Visual Basic
Additional Subjects
Python Machine Learning