[Free] Data Science 101 Data Analytics Class Python Bootcamp Nyc

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

Added on July 19, 2025 Development 2 min read

What you’ll learn

Become ready to take our Data Science course at NYC (312) 285-6886
Jump start 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. 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 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 basics of Data Analytics in Python using Pandas.

The course is not intended to make your expert in Python Analytics but rather introduce you to simple code and give you basic intro of 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 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 Matplotlib

This course is build based on my classes taken in NYC, New York

This introductory course is designed for beginners interested in learning the foundations of Data Analytics using Python and the powerful Pandas library. Based on my in-person classes conducted in New York City, it emphasizes hands-on practice and real-world application. You’ll explore Python essentials for analytics, focusing on Pandas data structures like Series and DataFrames, with comparisons to Excel and VBA. Key topics include data cleaning, handling missing values, aggregation, reshaping datasets, and time series manipulation. You’ll also learn visualization using Matplotlib. This bootcamp serves as a foundational step toward a career in data science—no prior experience needed.

Author(s): Shivgan Joshi

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