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Shivgan Joshi P

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Data Science Bootcamp Class SQL VBA Python Blockchain in New York
New York, New York
Active over a week ago

Tutor in New York, New York

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Joshi Shivgan My training are tailored for senior executive and seasoned professional who want to manage Data Science Teams / Python Developers and want to make a career switch or aiming career enhancements in their current role. Join my NYC boot-camp. New York Python SQL Bootcamp Coding Classes (Affordable & Cost-effective Machine Learning). Best Free classes in NYC. SQL 101 & Python 101 Classes. Big Data Science Classes for beginners interested in Analytics & Data Science. Weekend part time and full time classes in Manhattan & Queens. 1 on 1 Tutoring also available. Tutoring Data Science at Bootcamp on Python / R, Data Analytics by Shivgan Joshi. Creating the most innovative Bootcamp in New York / Manhattan. Developed various passive course for bootcamps in Data Analytics and have connections and linkages to a good network (with tutors) in USA and India for best outcome to global learners. Our training theme is centered around projects, for example, your portfolio or even themes you are doing at work. This is very different from the repetitive courses given by other tutors with a fixed syllabus. The outcome of such engagement is a product you can use. I connect you to the right tutors in NYC, just after you job for an hour, with the right content (so that your exhausted mind can grasp stuff), supported by an offshore team. 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). Courses that I learned during schooling (in 2011) include Financial Modeling using Excel, CFA L1 and L2, VBA for Financial Modeling, Excel for Equity modeling, Excel for Risk Management, other subjects. In engineering I did my thesis on "Risk modeling on MATLAB for design". I have learned most of the things with my experience during jobs with Bank and during tutoring for different companies. I posses good balance of academics, profession and modeling and a very chilled and easy going person. EXPERIENCE I have experience of tutoring Analytics using SQL, Excel, VBA, Python, R and matlab for Financial, risk, trading, and other applications. matlab for Finance has been by flagship course with the last organization. Earlier in my career I have worked and also developed several passive recorded courses in analytics. I have developed courses on Excel optimization to make Excel programming more robust and make excel do the best for you. 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 AUDIENCE: DATA ANALYSTS OR BUSINESS INTELLIGENCE ANALYSTS (Python) Data Science Course Curriculum 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. Pre-Work Introduction to Python 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 Functional programming and Object Oriented programming in Python How to start using Python Parsing information with Python Practice Python to solve the real-world tasks Small group courses: Python 101 $49 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) $174 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 $499 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 File Handling Web Scraping Exception handling SQLite Python Capstone Project for Github Portfolio Python for Data Science $499 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 Excel VBA 101 / SQL 101 $49 3 hrs / 1 Session / Days $49 Introduction to Excel VBA / Introduction to SQL (Intermediate) $174 9 hours, 3 sessions / days Excel VBA Immersive / SQL Immersive (Advanced) $499 35 Total hours, 5 Sessions / Days 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 teach at the bootcamp 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. 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.
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richa j

Good teacher.

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