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Data Analytics with Python
course information
  • Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. This course focuses on Python specifically for data science.
  • At the beginning of the course, you will learn Object oriented Python, Exception handling, file handling and GUI Programming.
  • Later part of the course is about powerful ways to store and manipulate data as well as cool data science tools to start your own analyses.
  • As part of this course you will get complete hands on experience on IMP data science related Python libraries like NumPy, Pandas, Matplotlib, SciPy, etc.
course objectives
  • Work with the most important libraries for doing Data Science with Python and how they can be easily installed with the Anaconda distribution.
  • Work with Numpy library which is the foundation of all the other analytical tools in Python.
  • Analyze, answer questions and derive conclusions from real world data sets using the Pandas library.
  • Produce informative, useful and beautiful visualizations for analyzing data.
  • Perform common statistical calculations and use the results to reach conclusions about the data.
course outline

Module 1: Object Oriented Programming

Module 2: Exception Handling

Module 3: IO – Object Serialization using Pickle

Module 4: GUI Programming using TKinter

Module 5: Data analytics using NumPy

Module 6: Data analytics using Pandas

Module 7: Data visualization using Matplotlib

Module 8: Statistical computing using SciPy

CERTIFICATION

DISS CERTIFICATE

          DATE          TIME
QatarOman
17-18 May 202009:00 to 13:0010:00 to 14:00
17-18 June 202009:00 to 13:0010:00 to 14:00
15-16 July 202009:00 to 13:0010:00 to 14:00
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TESTIMONIAL

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Meet THE INSTRUCTORS
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