| Short description |
The Data Science 101: Data Analytics Class Python Bootcamp in NYC is an immersive, hands-on course designed for beginners looking to kickstart their career in data science. The bootcamp focuses on Python programming, data analysis, and essential tools like pandas, NumPy, and data visualization libraries such as Matplotlib and Seaborn |
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| Outcomes |
- 1. Proficiency in Python Programming: You will learn the basics of Python, including syntax, data types, functions, loops, and conditionals, which are essential for data analysis tasks. Hands-on experience using Python libraries like pandas, NumPy, and Matplotlib for data manipulation and visualization.
- 2. Data Cleaning and Preparation: You will understand the process of cleaning and preparing data, including handling missing values, outliers, and data inconsistencies. You'll be able to work with various data formats (CSV, Excel, JSON, etc.) and manipulate data to make it ready for analysis.
- 3. Data Analysis Skills: You will learn how to analyze datasets to derive meaningful insights, using pandas for data manipulation and NumPy for statistical computations. You'll develop skills in summarizing, grouping, and aggregating data to uncover trends, patterns, and relationships.
- 4. Data Visualization: You will be proficient in creating visualizations such as line plots, bar charts, histograms, and scatter plots using Matplotlib and Seaborn. Learn how to present data in an easily interpretable way to communicate findings to stakeholders.
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| Requirements |
- 1. Basic Computer Skills: Comfort with using a computer and navigating the internet is necessary. You should be familiar with general software operations such as using browsers, file management, and installing software.
- 2. No Prior Experience in Programming or Data Science: This bootcamp is beginner-friendly and designed for those with no prior experience in Python programming or data science. The course will guide you through the basics of Python and data analysis step by step.
- 3. A Computer with Internet Access: You will need a laptop or desktop computer with an internet connection to participate in the bootcamp. The bootcamp is available remotely, so you'll need to have access to the internet during scheduled sessions and for self-study.
- 4. Software Requirements: Python (latest version) and an Integrated Development Environment (IDE) such as Jupyter Notebooks. The course will teach you how to install and set up Python and related libraries (like pandas, NumPy, Matplotlib, and Seaborn), so prior installation knowledge is not required. Step-by-step instructions will be provided.
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