Data Science 101 Data Analytics Class Python Bootcamp NYC – Free Udemy Courses - FTD

Data Science 101 Data Analytics Class Python Bootcamp NYC – Free Udemy Courses

Data Science 101 Data Analytics Class Python Pandas Bootcamp (Non-Programmers & Beginners at Wall Street NYC, New York)

What you’ll learn

Data Science 101 Data Analytics Class Python Bootcamp NYC – Free Udemy Courses

Become ready to take our Data Science course at NYC (312) 285-6886
Jumpstart your career in Wall Street New York in Python Financial Analytics
Use data analytics concepts to automate, perform analytics, and clean data

Requirements

Basic Python 101 is recommended by not needed. The course is for Beginners and Non-Programmers
Difference between Python 2 vs Python 3 and running any Python code on any editor
No Prerequisite just an open mind. Keep an open mind to see what is possible!

Description

Data Science 101: Python Pandas Bootcamp Data Analytics Course

This course is based on my classes taken in NYC for introducing the basics of Data Analytics in Python using Pandas.

The course is not intended to make you an expert in Python Analytics but rather introduce you to simple code and give you a basic intro to all topics in Data Analytics in Python to launch you into a career in Data Science.

Topics:

Learn Python for Analytics: Pandas
Pandas Objects are Series, DataFrames, and comparison with Excel VBA
Creating DataFrames from scratch using a dictionary or list
Data Cleaning & Preparation for Analysis – Missing Values, Data imputation
Aggregation, Wrangling Rearranging, and reshaping data: Join, Combine, Pivot, Melt, and Reshape
Data Manipulating DataFrames with Pandas
Time Series Data – String to Datetime
Visualizations with MatplotlibThis course is built based on my classes taken in NYC, New York

Who this course is for:

Business and nonprogrammers who want to learn Data Science
Wall Street NYC, NY who are looking for an alternative to Excel / VBA or Automation
If you are from New York then a lot of Data sets will make sense for you!

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