Python Data Science Course - United States

Python Data Science Training Course Outline

Module 1: Introduction of Python

• What is Python?
• What can be Done by Using Python Programming Language?
• Why Python?

Module 2: Working with IPython

• Launching IPython Shell and Jupyter Notebook
• Keyboard Shortcuts in the IPython Shell
• Special Commands of Python
• Pasting Code Blocks: %paste and %cpaste
• Running External Code: %run
• Timing Code Execution: %timeit
• %magic and %Ismagic
• IPython’s In and Out Objects
• IPython and Shell Commands
• Errors and Debugging
• Profiling and Timing Code

Module 3: Introduction to NumPy

• Understand Data Types in Python
• NumPy Arrays
• Universal Functions
• Aggregations: Min, Max and more
• Computation on Arrays: Broadcasting
• Comparison, Boolean Logic, and Masks
• Fancy Indexing
• Sorting Arrays
• NumPy’s Structured Array

Module 4: Working with Pandas

• Installing and Using Pandas
• Pandas Objects
• Data Indexing and Selection
• Operating on Data in Pandas
• Handling Missing Data
• Hierarchical Indexing
• Concat and Append
• Merge and Join
• Aggregations and Grouping
• Pivot Tables
• Vectorized String Operations
• Working with Time Series
• eval() and query()

Module 5: Visualization with Matplotlib

• Overview of Matplotlibs
• Object Oriented Interface
• Two Interfaces
• Simple Line Plots and Scatter Plots
• Visualizing Errors
• Density and Contour Plots
• Histograms, Binnings, and Density
• Customizing Plot Legends
• Customizing Color bars
• Multiple Subplots
• Text Annotation
• Three-Dimensional Plotting in Matplotlib
• Visualization with Seaborn

Who should attend this Python Data Science Training Course?

This Python Course in the United States is designed to instruct Software Developers and Data Scientists in the advanced principles of utilizing Python for Data Science Applications. The following professionals can benefit from this Data Science Training:

• Software Developers
• Data Analysts
• Machine Learning Engineers
• Product Managers
• Business Analysts
• Natural Language Processing Professionals
• Data Scientists

Prerequisites of the Python Data Science Training Course

There are no formal prerequisites for attending Python Data Science Training. However, a basic understanding of programming would be beneficial.

Python Data Science Training Course Overview

Python is an open-source programming language known for its premier status and robust capabilities. It is also renowned for its user-friendly nature and extensive libraries tailored for data manipulation and analysis. This versatile language course in the United States accommodates multiple programming paradigms, including object-oriented, functional, and structured programming.

Understanding Python for Data Science is crucial for professionals aiming to master the subject. Data scientists, analysts, and anyone working with large datasets benefit from the efficiency and flexibility Python offers. Proficiency in this course in the United States opens doors to advanced data manipulation techniques, aiding professionals in extracting meaningful insights and patterns from complex datasets.

This 3-day Python Data Science Training in the United States by the Knowledge Academy is designed to equip delegates with essential programming skills. Delegates will explore three-dimensional function visualization, mastering techniques such as histograms, binning, and density estimation. The course in the United States dives deep into constructing arrays, working with Python lists and custom arrays, and enhances data manipulation skills using the powerful Pandas library. 

Course Objectives

• To empower delegates with essential Python programming skills for data science
• To provide in-depth knowledge of three-dimensional function visualization techniques
• To enable delegates to customize plot legends and colorbars for effective data representation
• To teach the construction of arrays, working with Python lists and custom arrays
• To enhance data manipulation skills, including reorganizing multi-indices and merging datasets

Upon completing this Data Science Training in the United States, delegates will benefit from an enriched skill set in Python for data science, enabling them to tackle complex data analysis tasks with confidence. They will gain proficiency in visualizing and interpreting data, ultimately enhancing their value as professionals in the rapidly evolving field of data science.

What’s included in this Python Data Science Training Course?

• World-Class Training Sessions from Experienced Instructors
• Python Data Science Certificate
• Digital Delegate Pack

You’ll also get access to the MyTKA Training Portal, which will be your go to hub for all your training.
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.