Course description

The Data Science 101: Data Analytics Class Python Bootcamp in NYC is a comprehensive, beginner-friendly program designed to teach the fundamentals of data science and analytics using Python. This bootcamp provides hands-on training in essential data science tools and techniques, including Python programming, data manipulation with pandas and NumPy, and data visualization using libraries like Matplotlib and Seaborn. Students will learn how to collect, clean, analyze, and visualize datasets, gaining practical skills that are highly sought after in the data-driven job market. The course also includes real-world projects, ensuring that participants can apply what they learn to solve actual business problems. Whether you're looking to switch careers or enhance your current skill set, this bootcamp will equip you with the foundational knowledge to begin your journey in data analytics.

What will i learn?

  • 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.

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.

Frequently asked question

This bootcamp is designed for beginners who are interested in learning data science and analytics using Python. No prior experience in programming or data science is required.

You will learn how to use Python for data analysis, including: >>Python basics and programming concepts >>Data manipulation using pandas and NumPy >>Data visualization with Matplotlib and Seaborn >>Techniques for cleaning and preparing data >>How to work with real-world datasets and create actionable insights

No prior experience is necessary. This bootcamp is designed for beginners, and we start with the basics, building up to more advanced techniques.

The bootcamp includes a mix of instructor-led lessons, hands-on coding exercises, and real-world projects. You'll work on data analysis tasks throughout the course to reinforce your learning.

₹399

₹1499

Lectures

23

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes

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