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Applied Python for Data Science (TTPS4870)

This intermediate-level training program is specifically designed for Python Programmers, Data Scientists, and Data Engineers.

Virtual

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Intermediate

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5 Days

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This intermediate-level training program is specifically designed for Python Programmers, Data Scientists, and Data Engineers.

Course Information

About this Course:

This intermediate-level training program is specifically designed for Python Programmers, Data Scientists, and Data Engineers. This course provides a comprehensive overview of Applied Python for professionals with fundamental knowledge of Python Programming. This course provides such a professional an incredible learning opportunity to master the core concepts of Python Programming and use its feature for seamless mathematical & scientific computing.

This course overviews Fundamental Python Concepts and Nurture Scripting Skills required to Create & Run Python Programs. Professionals will also get to learn Module & Classes Designing, Unit Test Implementation, Profiling & Benchmarking, JSON & XML Processing, SciPy Classes, NumPy Array Manipulation, PIL Image Manipulation, and many more key concepts. This course will help professionals develop a conceptual understanding of key modules of Python Programming for Scientists & Engineers. On average, a professional Python Data Scientist earns $93,185 annually. 

Course Objective:

The core objective of this course is to help professionals gain a better knowledge and sound understanding of the following key concepts:

  • Basic Programs Creation & Running
  • Modules & Classes Designing and Programming
  • Unit Test Implementation & Performance
  • Speeding Up Programs with Profiling and Benchmarks
  • JSON and XML Processing and NumPy Array Manipulation
  • SciPy Classes of Packages & Sub Packages
  • Ad-Hoc Plots, What-Ifs, & Calculations with iPython Notebook
  • PIL Image Manipulation and SymPy Equation Solution
  • PySpark and SciKit-Learn Advanced Data Science Concepts 

Audience:

This course is specifically tailored for the following group of professionals and interested candidates:

  • Python Programmers
  • Data Scientists & Data Engineers
  • IT Professionals & Experts

Prerequisites:

There are no obligatory prerequisites for the Applied Python for Data Science (TTPS4870) Course. However, it is highly recommended for professionals to have fundamental knowledge & experience of programming.

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SubjectsApp Development
Lab AccessNo
TechnologyProgramming Language
Learning StyleVirtual Classroom
Learning TypeCourse
DifficultyIntermediate
Course Duration5 Days
LanguageEnglish

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Course Expert:

Author

Brian Hernandez
Web development Instructor

Brian Hernandez is a Mobility professional capable of managing technology projects from concepts to completion with remarkable deadline sensitivity. Proficient in developing Wordpress Plugins, mobile applications, Wordpress Websites etc.

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