QcFinance.in Affordable Data Science andamp; Analytics Bootcamp in NYC Classes Revenue and Competitors

Location

N/A

Total Funding

Analytics

Industry

Estimated Revenue & Valuation

  • QcFinance.in Affordable Data Science andamp; Analytics Bootcamp in NYC Classes's estimated annual revenue is currently $1.3M per year.(i)
  • QcFinance.in Affordable Data Science andamp; Analytics Bootcamp in NYC Classes's estimated revenue per employee is $84,000

Employee Data

  • QcFinance.in Affordable Data Science andamp; Analytics Bootcamp in NYC Classes has 15 Employees.(i)
  • QcFinance.in Affordable Data Science andamp; Analytics Bootcamp in NYC Classes grew their employee count by -17% last year.
Competitor NameRevenueNumber of EmployeesEmployee GrowthTotal FundingValuation
#1
$7.8M62-30%N/AN/A
#2
$18.8M13411%$71.6MN/A
#3
$1.3M16-30%N/AN/A
#4
$3.2M30-6%$8.7MN/A
#5
$1.3M157%N/AN/A
#6
$1.4M1713%N/AN/A
#7
$7.3M585%N/AN/A
#8
$8.4M67N/AN/AN/A
#9
$14.7M1058%N/AN/A
#10
$6.4M5111%N/AN/A
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What Is QcFinance.in Affordable Data Science andamp; Analytics Bootcamp in NYC Classes?

312285688 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 in Analytics & Data Science. Weekend part time full time classes in Manhattan & Queens. 1 on 1 Tutoring also available. Free weekend 2hrs class. New York Python SQL Bootcamp for Non Programmers (Affordable Machine Learning). Python / SQL/ VBA Small group courses Python 101: 3 hours Intro to Python (Intermediate): 9 hours in total, 3 sessions of 3 hrs Python Immersive: 35 hours in total, 5 sessions of 7 hrs each SQL 101: 3 hrs / Intro to SQL 9 hrs / SQL Immersive 35 hrs Week schedule: Sunday Python Part 1 & Part 2 Monday: Blockchain / Solidity / DApp / Crypto Investing Tuesday: Pandas Data Analytics & Wrangling Clearning Time Series Wed: Hadoop Big Data / SQL (Hive Pig) / Scala Thursday: VBA Macro (Excel Analytics) Friday: Machine Learning (Regression Classification) Saturday: Hadoop Big Data / SQL (MySQL, SQlite) Python 101 and Object Oriented Python Advanced Python 102 SQL Basics Machine Learning Fundamentals Scikit Learn EDA Charting using Matplot, Seabourne and Pyplot Pandas for Analytics (SQL and Excel equivalence) Regression and Logistic Regression - Python and the Math Behind SV, Stochastic Gradient Descent, Naive Bayes Classification Decision Trees and Random Forest Ensemble Models Unsupervised Learning Clustering K-means Neural Network Dimension Reduction using PCA, Lasso and Ridge Big Data Hadoop Spark Mapreduce Natural Language Processing Web Scraping Python using beautifulsoup and selenium web driver Tensor Flow and Keras Django, Flask

keywords:N/A

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Total Funding

15

Number of Employees

$1.3M

Revenue (est)

-17%

Employee Growth %

N/A

Valuation

N/A

Accelerator

Company NameRevenueNumber of EmployeesEmployee GrowthTotal Funding
#1
$1.3M15N/AN/A
#2
$1.3M15N/AN/A
#3
$2.9M15N/AN/A
#4
$1.3M15N/AN/A
#5
$1.3M15N/AN/A