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Data Science 101 Data Analytics Class Python Bootcamp NYC
Rating: 3.9 out of 5(493 ratings)
30,864 students

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)
Created byShivgan Joshi
Last updated 2/2019
English

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

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Course content

4 sections • 23 lectures • 1h 48m total length

  • Introduction to the Course & Tips0:24
  • Introduction to the Course & Tips [Video]4:40
  • Python Language Basics & Running Jupyter0:35
  • Python Language Basics & Running Jupyter [Video]6:58
  • Pandas Basics - What are DataFrames? Reminds me of Excel & SQL0:49
  • What are dataframes [Video]10:14
  • Filtering DataFrames [Video]15:42

    Explore filtering dataframes in Python by selecting specific rows and columns, using explicit and implicit indexing, reindexing, and boolean conditions to shape 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:

  1. Learn Python for Analytics: Pandas

  2. Pandas Objects are Series, DataFrames and comparison with Excel VBA

  3. Creating DataFrames from scratch using dictionary or list

  4. Data Cleaning & Preparation for Analysis - Missing Values, Data imputation

  5. Aggregation, Wrangling Rearranging and reshaping data : Join, Combine, Pivot, Melt and Reshape

  6. Data Manipulating DataFrames with Pandas

  7. Time Series Data - String to Datetime

  8. 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.

Who this course is for:

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

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