Data Analytics with Python
overview
- 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 details
| COURSE DURATION | LANGUAGE | CERTIFICATE |
| 2 Days | English | DISS Certificate |
| *Please notify us if an interpretation is required |
course benefits/progression opportunities
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 |
COURSE TYPE: CLASSROOM
| DATE | DAY | QATAR TIME |
| 7-11 Feb 21 | Sun-Thu | 09:00-15:00 |
| 7-11 Mar 21 | Sun-Thu | 09:00-15:00 |
| 4-8 Apr 21 | Sun-Thu | 09:00-15:00 |
| 2-6 May 21 | Sun-Thu | 09:00-15:00 |
| 6-10 Jun 21 | Sun-Thu | 09:00-15:00 |
| 4-8 Jul 21 | Sun-Thu | 09:00-15:00 |
| 1-5 Aug 21 | Sun-Thu | 09:00-15:00 |
| 5-9 Sep 21 | Sun-Thu | 09:00-15:00 |
| 3-7 Oct 21 | Sun-Thu | 09:00-15:00 |
| 7-11 Nov 21 | Sun-Thu | 09:00-15:00 |
| 5-9 Dec 21 | Sun-Thu | 09:00-15:00 |
| 26-30 Dec 21 | Sun-Thu | 09:00-15:00 |
TESTIMONIAL
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Meet THE INSTRUCTORS
Instructor Name
Profession
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Instructor Name
Profession
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