Data Science 101 Data Analytics Class Python Bootcamp NYC
- Development
- Feb 15, 2025

Data Science 101 Data Analytics Class Python Bootcamp NYC, available at Free, has an average rating of 3.9, with 23 lectures, based on 473 reviews, and has 29333 subscribers.
Free Enroll NowYou will learn about 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 This course is ideal for individuals who are Business and non programmers who want to learn Data Science or Wall Street NYC, NY who are looking for alternative to Excel / VBA or Automation or If you are from New York then a lot of Data Set will make sense for you! It is particularly useful for Business and non programmers who want to learn Data Science or Wall Street NYC, NY who are looking for alternative to Excel / VBA or Automation or If you are from New York then a lot of Data Set will make sense for you!.
Enroll now: Data Science 101 Data Analytics Class Python Bootcamp NYC
Summary
Title: Data Science 101 Data Analytics Class Python Bootcamp NYC
Price: Free
Average Rating: 3.9
Number of Lectures: 23
Number of Published Lectures: 23
Number of Curriculum Items: 23
Number of Published Curriculum Objects: 23
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
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:
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Learn Python for Analytics: Pandas
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Pandas Objects are Series, DataFrames and comparison with Excel VBA
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Creating DataFrames from scratch using dictionary or list
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Data Cleaning & Preparation for Analysis – Missing Values, Data imputation
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Aggregation, Wrangling Rearranging and reshaping data : Join, Combine, Pivot, Melt and Reshape
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Data Manipulating DataFrames with Pandas
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Time Series Data – String to Datetime
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Visualizations with Matplotlib
This course is build based on my classes taken in NYC, New York
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to the Course & Tips
Lecture 2: Introduction to the Course & Tips [Video]
Lecture 3: Python Language Basics & Running Jupyter
Lecture 4: Python Language Basics & Running Jupyter [Video]
Lecture 5: Pandas Basics – What are DataFrames? Reminds me of Excel & SQL
Lecture 6: What are dataframes [Video]
Lecture 7: Filtering DataFrames [Video]
Chapter 2: Getting & Cleaning the Data
Lecture 1: Download / Scrape Data
Lecture 2: Download / Scrape Data [Video]
Lecture 3: Data Cleaning & Preparation for Analysis – Missing Values, Data imputation
Lecture 4: Data Cleaning & Preparation for Analysis [Video]
Chapter 3: Wrangling the Data
Lecture 1: Data Wrangling: Group by Join, Combine, Pivot, Melt and Reshape Part 1
Lecture 2: Data Wrangling: Group by Join, Combine, Pivot, Melt and Reshape Part 2
Lecture 3: Group by,Pivot and Melt
Lecture 4: Joins & Union [Video]
Lecture 5: EDA on New York Clinic Data / Attendees Data (Project)
Lecture 6: Project DataFrames Joins & Group by [Video]
Lecture 7: Time Series Data – String to Datetime
Lecture 8: DateTime String to Datetime [Video]
Lecture 9: DateTime Part 2 Shift and ReSample
Lecture 10: DateTime Part 2 Shift and ReSample [Video]
Chapter 4: Visualization
Lecture 1: Create automatic visualizations with Matplotlib, Seaborne
Lecture 2: Charts [Video]
Instructors

Shivgan Joshi
Free Python Class Bootcamp Big Data Science NYC 312 285 6886
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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