Python Data Science Course Overview

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

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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.

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

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

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Python Data Science Course. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Python Data Science Course, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

Python Data Science Course FAQs

Python Data Science involves using the Python programming language and associated libraries, such as NumPy, Pandas, and Matplotlib, to analyze, visualize, and derive insights from large sets of data, facilitating tasks like statistical analysis, machine learning, and data manipulation.
There are no prerequisites for attending this course. However, a basic understanding of programming would be beneficial.
Anyone interested in having a career in Python can attend this course. This course is well-suited for Big Data and Analytics Professionals, Software Developers, Project and BI Managers ETL Professionals
Yes, we provide 24/7 support for the Data Science Training with Python Course. Our customer service will be available to assist you before and after the course, with any queries, technical issues, or additional support you may require. We are committed to ensuring your learning experience is seamless and that you have access to assistance whenever you need it.
This course comes with valuable training sessions led by experienced instructors, a digital delegate pack, and a certificate upon completion.
The duration of this course spans across 3 days.
Yes. The Knowledge Academy offers flexible learning options for this Data Science with Python Course which helps delegates learn according to their convenience. These learning modes include the online instructor-led training, classroom training, on-site training, and self-paced training.
Python for Data Science Course validates proficiency in using Python for Data Analysis, enhancing job prospects and opening opportunities in roles such as Data Scientist or Analyst.
Yes, we provide corporate training for our Python Data Science Courses. We offer courses tailored to your organizational needs for a smooth learning journey.
Yes, Python Data Science offers a promising career with high demand due to its versatility, widespread adoption in industry, and applications in Data Analysis, Machine Learning, and Artificial Intelligence, making it a sought-after skill set in diverse sectors.
With a Python Data Science certification, you can pursue roles such as Data Scientist, Machine Learning Engineer, or Business Analyst, working on tasks like predictive modeling, data analysis, and deriving insights from complex datasets, across industries like finance, healthcare, and technology.
The training fees for Python Data Science Course certification in the United States starts from $3795
The Knowledge Academy is the Leading global training provider for Python Data Science Course.
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Flexible delivery methods are available depending on your learning style.

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Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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