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Python For Data Science

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Course type: Online Instructor led Course

Platform: gotomeeting

Course ID: 45093

Course type: Online Instructor led Course

Platform: gotomeeting

Students Interested 0 (Seats Left 0)

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About the Course

About this training:

These introductions to Python will kick-start your learning of Python â?? a powerful, general-purpose programming language. This beginner-friendly Python course will take you from zero to advanced programming in Python in a matter of days.

In this training youâ??ll learn how to build, deploy and scale programs in Python, with training that covers everything from the fundamentals to deep-dive development

Your takeaway from training

Upon completion, youâ??ll be able to write your own Python scripts for:

  • Application Development.

  • Parallel Processing Business Logics in Big Data-Hadoop and SPARK.

  • Data Cleansing, Validation and formatting in Data Engineering.

  • Building different data models in Data Science.

  • Automating Web Testing using Selenium.

  • Building Internet of Things Apps using Raspberry pi.

  • Web development using frameworks like Django, Flask etc.

Recommended skills prior to taking this course

None. This introduction to Python is for "absolute beginners in Python" and â??beginners to programming worldâ??.


Bit on Python: Python is general purpose programming language [blends procedural+functional+object oriented functionality] in scripting mode. It has efficient high-level data structures, Powerful flexible string handling and a simple but effective approach to object-oriented programming. Pythonâ??s elegant syntax and dynamic typing, together with its interpreted nature,code readability make it an ideal language for scripting and rapid application development in many areas on most platforms.

Date and Time

Not decided yet.

About the Trainer

Deepak Kumar Behera picture

4.93 Avg Rating

15 Reviews

26 Students

1 Courses

He is a Data Scientist by profession. Currently, he is an Associate Vice President in one of the Leading Analytics Company. He brings in the great expertise of developing enterprise level applications that substantially increases client's ability to turn data into actionable knowledge. He is a researcher in data engineering field and expert in developing advanced analytic methods like machine learning and statistical modeling on large datasets.


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