Excel VBA Python Data S.
New York, NY, 10010
Joined on April, 2017
Weekdays in the evening
Weekdays at any time
Weekdays at any time
Up to 1 hour away for no additional charge
Data Science tutor New York
Very Affordable and Cost Effective Private Tutor for Analytics Data Science Quantitative Analysis on Python / R / SQL.
Tutoring Data Science in Python / R online and in New York, New Delhi and Tel Aviv.
A seasoned tutor and have connections and linkages to a good network in USA and India to get the best outcome to the learners globally. I have tutoring network and tutored in New York city, New Delhi, Tel Aviv, other. I can reach you after your job at Manhattan or Brooklyn NYC in the evening.
My meetup theme is centered around projects, for example, your financial 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.
I invite you to check out my course developed over the last few years.
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) and MS IT.
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.
Keywords: Quant Trainer, Tutor, Trainer, Teacher, Home tuition, Quant, Programming, CFA Level 1, FRM Part 1, Mathematics Tutor, Maths, Onsite.
Keywords: Trainer, Tutor, Home tuition, Excel, VBA, SQL, Onsite, VBA, Python, Data Science, trainer, help assignment, video solutions, In Person, 1 on 1, Home Tutor.
ExperienceData Science Machine Learning Tutor New York
I have several passive courses developed in the last 5-8 years related to data science and analytics.
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 have experience of tutoring Analytics using Excel, VBA, Python, SQL 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 courses in analytics.
I have taken courses on Excel optimization to make Excel programming more robust and make excel do the best for you.
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 includes: Quantitative Methods, CFA L1, FRM L1, matlab/R/SPSS for Quant, Excel-VBA Programming, SQL, Quantitiative and Analytics Excel programming & VBA programming.
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.
AUDIENCE: DATA ANALYSTS OR BUSINESS INTELLIGENCE ANALYSTS (Python)
Data Science / Machine Learning 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 and starts with a introduction to Python and Statistics.
HobbiesMachine Learning Tutor New york
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
Supervised Learning I
Reliability of Random Forests
Advantages & Disadvantages of Decision Trees
Supervised Learning II
Model Evaluation: Overfitting & Underfitting
Understanding Different Evaluation Models
Module 4 – Unsupervised Learning
K-Means Clustering plus Advantages & Disadvantages
Hierarchical Clustering plus Advantages & Disadvantages
Measuring the Distances Between Clusters – Single Linkage Clustering
Measuring the Distances Between Clusters – Algorithms for Hierarchy Clustering
Dimensionality Reduction & Collaborative Filtering
Dimensionality Reduction: Feature Extraction & Selection
Collaborative Filtering & Its Challenges
Meditation and yoga. Sometimes I play chess and other games. I am very friendly person and like to work with kids.
I play betting games and derivative strategy games with my colleagues and other traders during free time.
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