Virtual Python for Data Analyst Bootcamp
- Event Type: 🌐 Virtual Event
- Start: Apr 13, 2026 9:00 AM EDT
- End: Apr 16, 2026 5:00 PM EDT
- Cost: $1,995.00
- Instructor: Emily Taylor
- Event Categories:
- Available Seats: Limited seats remaining!
- Tickets: Get your ticket HERE
- Need help convincing your boss? We can help.
🌐 Virtual Event
Event description
Welcome to the "Python for Data Analyst" bootcamp, a comprehensive and immersive four-day training program designed to equip aspiring data analysts with the essential skills and knowledge to excel in the field of data analysis using Python. This bootcamp is meticulously crafted by industry experts to provide a hands-on learning experience, ensuring that participants gain practical insights and real-world applications of Python in data analysis. Whether you are a beginner or have some prior experience, this bootcamp will help you master the tools and techniques needed to analyze, visualize, and interpret complex data sets effectively.
Prerequisites
This bootcamp is designed for beginners who are eager to start their journey in data analysis with Python. While no prior programming experience is required, familiarity with basic programming concepts will be beneficial. Ideal participants include: - Aspiring data analysts - Professionals looking to transition into data-related roles - Students and graduates interested in enhancing their data analysis skills - Anyone with a keen interest in data and technology Prior knowledge is a plus but not mandatory. A willingness to learn and a passion for data are the most important prerequisites.
System Requirements
- To ensure a smooth learning experience, participants are required to have a laptop with the following system specifications:
- Windows: Windows 7 or later (64-bit), Python 3.7 or later
- macOS: macOS 10.12 (Sierra) or later, Python 3.7 or later
- Minimum 4 GB of RAM (8 GB recommended)
- Internet connection for downloading software and accessing online resources Participants should have administrative access to install software on their laptops.
Course Outline:
- Module 1: Getting Started with Python
- Introduction to Python: What is Python and why use it?
- Setting up Python: Installing Python on your machine
- Module 2: Working with Python Data Structures, Functions
- Python Basics: Variables, data types, and basic syntax
- Data Structures: Lists, dictionaries, sets, and tuples
- Functions: Defining and calling functions
- Module 3: NumPy Basics
- Creating ndarrays: Basics of NumPy arrays
- ndarrays Datatypes: Understanding data types in NumPy
- ndarrays Indexing and Slicing: Accessing and modifying array elements
- Universal Functions
- Module 4: Working with Pandas
- Introduction to Pandas: Data structures in Pandas (Series and DataFrame)
- Basic Operations: Creating, reading, and writing data
- Module 5: Loading Data, File Formats, and Storage with Pandas
- Loading Data: Reading data from various file formats File Formats: CSV, Excel, Public APIs
- Module 6: Data Wrangling with Pandas
- Merging Datasets (Merge, Join, Concat)
- Filtering Data (Boolean Indexing, Filter)
- Aggregating Data
- Grouping Data
- Changing Data Types
- Module 7: Working with Nulls
- Identifying Nulls
- Replacing Nulls
- Dropping Nulls
- Module 8: Python Visualization and Plotting Tools
- Introduction to Visualization
- Matplotlib: Creating basic plots and charts
Get tickets:
| Ticket type | Price | Quantity |
|---|---|---|
| Virtual Python for Data Analyst Bootcamp (Apr 13, 2026 – 4/16/26) | $1,995.00 | |
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Instructor – Emily Taylor
Emily graduated from Indiana University with a bachelor's degree in elementary education and the University of North Florida with a master's degree in educational leadership. After 11 years of teaching varying grades (K-5) in Indiana and Florida, she joined the Pragmatic Works team as a Power BI Trainer. Emily's primary goal is to provide engaging trainings that help customers gain confidence using Power BI. When not in the office, Emily enjoys camping, the beach, cheerleading, and visiting family in Indiana.