"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. **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
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.
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...
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.