Instructor-led training

Using Data Science Tools in Python Training in Killeen, Texas

AI training from Hartmann Software Group, delivered onsite in Killeen, Texas or live online.

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What you'll learn

More and more organizations are turning to data science to help guide business decisions. Regardless of industry, the ability to extract knowledge from data is crucial for a modern business to stay competitive. One of the tools at the forefront of data science is the Python® programming language. Python's robust libraries have given data scientists the ability to load, analyze, shape, clean, and visualize data in easy to use, yet powerful, ways. This course will teach you the skills you need to successfully use these key libraries to extract useful insights from data, and as a result, provide great value to the business.

In this course, you will use various Python tools to load, analyze, manipulate, and visualize business data.

You will:

Set up a Python data science environment.

Manage and analyze data with NumPy arrays.

Manipulate and modify data with NumPy arrays.

Manage and analyze data with pandas DataFrames.

Manipulate, modify, and visualize data with pandas DataFrames.

Visualize data with Matplotlib and Seaborn.

Prerequisites

To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including but not limited to: data engineering, data analysis, data storage, data visualization, and statistics. You can obtain this level of knowledge by taking our CertNexus DSBIZ. You should also be proficient in programming with Python.

Course Outline

Lesson 1: Setting Up a Python Data Science Environment

Topic A: Select Python Data Science Tools

Topic B: Install Python Using Anaconda

Topic C: Set Up an Environment Using Jupyter Notebook

Lesson 2: Managing and Analyzing Data with NumPy

Topic A: Create NumPy Arrays

Topic B: Load and Save NumPy Data

Topic C: Analyze Data in NumPy Arrays

Lesson 3: Transforming Data with NumPy

Topic A: Manipulate Data in NumPy Arrays

Topic B: Modify Data in NumPy Arrays

Lesson 4: Managing and Analyzing Data with pandas

Topic A: Create Series and DataFrames

Topic B: Load and Save pandas Data

Topic C: Analyze Data in DataFrames

Topic D: Slice and Filter Data in DataFrames

Lesson 5: Transforming and Visualizing Data with pandas

Topic A: Manipulate Data in DataFrames

Topic B: Modify Data in DataFrames

Topic C: Plot DataFrame Data

Lesson 6: Visualizing Data with Matplotlib and Seaborn

Topic A: Create and Save Simple Line Plots

Topic B: Create Subplots

Topic C: Create Common Types of Plots

Topic D: Format Plots

Topic E: Streamline Plotting with Seaborn

Appendix A: Scraping Web Data Using Beautiful Soup

Training locations

Using Data Science Tools in Python training across the U.S. and beyond.

We provide Using Data Science Tools in Python training onsite and live online for organizations throughout the United States and internationally.

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