Python for Data Analyst Bootcamp
- Start: May 05, 2025 9:00 AM EDT
- End: May 08, 2025 5:00 PM EDT
- Cost: $1,995.00
- Instructor: Zane Goodman
- Event Categories:
- Available Seats: Limited seats remaining!
- Tickets: Get your ticket HERE
- Need help convincing your boss? We can help.
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
- Python Basics: Variables, data types, and basic syntax
- Running Python scripts and using the interactive shell
- Module 2: Working with Python Data Structures, Functions, and Generators
- Data Structures: Lists, dictionaries, sets, and tuples
- Functions: Defining and calling functions, lambda functions
- Generators: Understanding and using generators for efficient data processing
- 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
- Array-Oriented Programming: Operations and broadcasting
- File Input and Output: Reading from and writing to files
- Linear Algebra: Matrix operations and linear algebra with NumPy
- Module 4: Working with Pandas
- Introduction to Pandas: Data structures in Pandas (Series and DataFrame)
- Basic Operations: Creating, reading, and writing data
- Data Manipulation: Sorting, filtering, and grouping data
- Module 5: Loading Data, File Formats, and Storage
- Loading Data: Reading data from various file formats
- File Formats: CSV, Excel, JSON, and more
- Data Storage: Efficient storage formats for large datasets
- Module 6: Cleaning Data
- Data Cleaning: Handling missing data and duplicates
- Data Transformation: Applying functions and mapping data
- Module 7: Data Cleaning and Preparation
- Data Preparation: Preparing data for analysis
- Data Integration: Combining data from multiple sources
- Data Normalization: Standardizing data for consistency
- Module 8: Data Wrangling
- Data Munging: Transforming raw data into a useful format
- Advanced Data Manipulation: Pivot tables, melting, and reshaping data
- Module 9: Python Visualization and Plotting Tools
- Introduction to Visualization: Importance and techniques
- Matplotlib: Creating basic plots and charts
- Seaborn: Advanced visualization techniques
- Module 10: Aggregating and Grouping Data
- GroupBy Operations: Grouping data and performing aggregate functions
- Pivot Tables: Creating and using pivot tables for data analysis
- Module 11: Modeling Libraries in Python
- Introduction to Modeling: Basics of data modeling
- Scikit-Learn: Building and evaluating machine learning models
- Model Selection: Choosing the right model for your data
Get tickets:
| Ticket type | Price | Quantity |
|---|---|---|
| Python for Data Analyst Bootcamp (May 5, 2025 – 5/8/25) | $1,995.00 | |
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Instructor – Zane Goodman
Zane Goodman is a Trainer for Pragmatic Works specializing in the Power Platform. He's worked in skilled labor roles as well as the construction industry. Zane spent a lot of time in attics, on boom lifts, and in ditches making sure all the lights turned on properly. Now his primary focus is turning on the light for learning, helping our customers learn the ins and outs of Power Apps.