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Hands-on Python Essentials Primer for Data Scientists (TTPS4809)
This useful course furnishes an investigation of working with the main language of programming, not only a scholastic introduction of grammar and syntax.
Virtual
Learning Style
Course
Learning Style
Beginner
Difficulty
2 Days
Course Duration
Course Info
Certificate
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9:00 AM - 5:00 PM CST
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This useful course furnishes an investigation of working with the main language of programming, not only a scholastic introduction of grammar and syntax.
Course Information
The course of Python Essentials Primer is a kick-off for data scientists, end-users, and data analysts who want to become familiar with the use of Python to help their activities towards developmental.
About this course:
Python Essentials a beyond-level and introductory hands-on, practical training course of Python that drives the understudy from the fundamentals of running and writing scripts of Python to further developed features, for example, file operations and starting to utilize the broad use of the modules of Python. Additional emphasis is set on features one of a kind to Python that is basic to data scientists and data analysts, for example, array slices, tuples, and output formatting. This useful course furnishes an investigation of working with the main language of programming, not only a scholastic introduction of grammar and syntax. Understudies will have a strong base to further learn Python in automation, network administration, Data Science, or web development.
Course Objective:
All through the course, understudies will be driven through a progressively innovative topic series, where every subject comprises lecture, comprehensive hands-on lab exercises, group discussion, and lab review. This course is "abilities drove", intended to prepare participants in core skills of web advancement and Python beyond an intermediate level, coupling the most powerful, current, procedures with best practices.
Working inside a hands-on, engaging learning condition, directed by our master Python expert, understudies will figure out how to:
- Get acquainted with the work-saving modules of the standard library.
- Use data types of python suitably
- Scripts of Python on Unix/Windows
- Make the scripts of working Python following best procedures
- Module search path
- Sequence keywords, functions, and operators
- Write and Read files
- Comprehend the features of Python, for example, iterators and comprehensions
- Realize when to utilize assortments, for example, dictionaries, lists, and sets
- Advantages and Disadvantages of Python
Audience:
This course is proper for advanced data analysts, users, system administrators, data scientists, and web site administrators who need to figure out how to utilize Python to help their work.
Prerequisites:
This course is not subject to any prerequisites.
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Outline
More Information
| Subjects | App Development |
|---|---|
| Lab Access | No |
| Technology | Programming Language |
| Learning Style | Virtual Classroom |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 2 Days |
| Language | English |
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Course Expert:
Tom Robertson
(Data Science Enthusiast)
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.
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