Data Analytics Using Python (Masterclass)

by Penrose Learning Centre

This hands-on 3 Day Course in Data Analytics using Python is sure to open a plethora of opportunities in your career.

AED 1500

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img Duration

3 Days - 18 Hours

Course Details

Data is the new gold. If your job involves handling or accessing data, then Python is a must-learn tool for you. Those who learn to analyse and make better decisions using data are the ones who fare better in the constantly changing corporate world.

This hands-on 3 Day Course in Data Analytics using Python is sure to open a plethora of opportunities in your career.

The training provides the opportunity to work on Actual Business Problems and build statistical models

- No prior programming skills are necessary.
- Knowledge of Excel Functions can be handy.
- Basic understanding of statistics can be beneficial

The course is conducted by Sunil Nair, who is an Educational Author, Python Tutor and experienced Corporate Trainer.

Curriculum:

- Python Basics
- Data Analysis - Python vs Excel
- Steps to Data Analytics
- Import Libraries and Data
- Describe and Explore Data
- Data Cleaning
- Visual Representation of Data
- Select and Build Statistical Models

Penrose Learning Centre provides you specialised training in the fields of Math, Fine Arts and Technology to help you become an innovator. Established in November 2015, it has been actively involved in providing quality after-school programs catering to the learning needs of the young minds.

Notable Points:

- A rich learning experience for the students
- KHDA approved institute
- Focused on small groups and individual learning
- Experienced faculty

  • Jumeirah Village Circle Branch

    Prime Business Centre, Jumeirah Village Circle, Dubai
  • Teacher's Name
  • Sunil Nair
  • Teacher's Experience
  • Sunil Nair is an Educational Author, Python Tutor and experienced Corporate Trainer. Other than training abilities, he has developed multiple applications and worked on analyzing data and built statistical models on corporate data.
  • Gender
  • Male
  • Teacher's Nationality
  • Indian

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