Data Science Series – Level V

Python for Data Science Course & Artificial Intelligence Dubai, UAE

Course Objective

Hands on,In-Person Classroom training for learning programming in Python course in Dubai for Data Science to become a Data Scientist .

You will learn to use Python for very quick ,easy and efficient Business Analytics, Big Data Analytics , Advanced Data Visualization and Artificial Intelligence course.

Suitable For

For executives and researchers engaged in and/or interested to work as Data Scientist or Data Analyst for various Business Analytics challenges and looking for advanced analytics as well as Visualisation techniques. 

Essential step for those pursuing Data Science, Machine Learning, AI for a career as Data Scientist.

Ambeone offers Python Certification for Data Science, Machine Learning & Artificial Intelligence Courses in Dubai

In Person Class Room Trainings in Small Batches on weekends

R and Python are the most popular and key languages in the Big Data Analytics & Data Science Domain.

Python Programming provide a strong foundation for developing Data Science, Machine Learning and Artificial Intelligence algorithms. In addition, Python can be used to develop different applications like web applications, graphic user interface based applications, scientific and numeric applications, Games and 3D design applications and other business and software development application like chat-bots, facial recognition etc.

Python Course for Data Science, Machine Learning & Artificial Intelligence 

Python is a general purpose language, i.e. you can made websites, apps, IoT devices and also advanced machine learning & artificial intelligence algorithms.

We focus our training in Python for Data Science, Big Data Analytics, Advanced Data Visualization, Machine learning & Artificial Intelligence to cover the complete Data Science domain.

There are many advanced packages which make using python easy, even for complex big data analytics & machine learning problems! Once the training in Python Programming is obtained, it is easy to use different packages for using Python for other applications as well.

Ambeone Python for Data Science - Dubai, UAE

This course can also be taken in conjunction with professionals management programs like Market Research, Marketing Strategy, HR Analytics, Data Driven Decision Making, Negotiation Skills, Supply Chain Logistics etc. to ensure the advanced analytics and visualization skills are used to enhance the  subject domain expertise with efficient and effective use of data.

Topics covered in our module for Training in Python Programming 

  • Basics of Data Analytics
  • Python Objects & Data Types
  • Relational Operators, Equalities, Logical Operators
  • Python Statements- For If & While Loops
  • Methods, Functions & Lambda Expressions
  • Python Decorators & Generators
  • Importing Data from Excel, Sql, SAS, Oracle Database.
  • Cleaning & Manipulating Data in Python
  • NumPy & Pandas for Data Analysis
  • Matplotlib & Seaborn for Data Visualization
  • SciKit-Lean & Karas for Machine Learning & AI

Our carefully planned and recommended learning structure for Data Science Series

LevelCourse NameKnow More
Level IFundamental of Data Analytics & Interpretation ,Simple Measures of Data Click here
Level IIBusiness Analytics with KPI Measurement using StatisticsClick here
Level IIIStatistics for Data Analytics & Data ScienceClick here
Level IVBig Data Analytics &  Visualization with R Click here
Level VAdvanced Data Mining & Manipulation with Python Click here
Level VIPredictive Modeling & Evaluation with Machine Learning Click here
Level VIIAdvance Machine Learning and Artificial Intelligence with R & PythonClick here
Level VIIIApplied Analytics-Using Data Science & Machine Learning in Business AnalyticsClick here
Level IXNeural Network & Unsupervised Learning for Advanced AIClick here

Course Duration

32 Hours of Instructor Led Sessions


40 – 50 Hours of Assignments & Projects

Course Format

Five days Intensive Bootcamps/Workshops for Corporate batches


Weekend Sessions for Public batches

Course Pre-requisite

There are no pre-requisites for this course.

However it will be beneficial if the participants have some business and analysis experience in order to understand applications of Python for Data Analysis and Mining in business environments.

In addition, it is advisable for participants to complete our course on Foundation in Statistics, Programming in R if they wish to pursue Data Science domain.

Big Data Analytics is an evolving science with new and unique applications cropping up every day. Check out our carefully planned and recommended sequence of training courses that will ensure you gain all the necessary skills needed in a systematic and meaningful way to succeed as a Data Scientist!

Course Schedule for Training in Python Programming

Course Course FormatStart Date DurationRegister
Programming in PythonWeekend Afternoon2nd June 20246 WeeksRegister Here
Big Data Analytics with RWeekend Afternoon 18th June 20246 WeeksRegister Here
Programming in PythonWeekend Afternoon23rd June 20246 WeeksRegister Here

Course Details

  • Duration of the course is 32 hours of Instructor Led Class Room code-along Training with 40 hours of self/group study with assignments Hours.
  • Students have to submit a Capstone project using Python programming for Advanced Analytics.
  • This course is offered as ,
    • 5 Day Intensive Boot-Camp.
    • Evening Classes. Two 2-hour sessions a week for six weeks in the evenings.
    • Once a week, Four Hours Classes during Weekends for six weeks.
    • As part of our Six Month Associate in Big Data Analytics.
  • We currently offer this course Dubai, Abu Dhabi, Delhi, Mumbai, Bangalore and Nigeria.
  • Checkout our course schedule more information.
  • Participants must bring their own laptop. Preferably with more than 8GB ram.
  • This course will be mainly taught using Python as the programming language.
  • All softwares and Databases used for the course are open-source and participants will be taught how to install and set-up the environment.
  • All training topics covered in the course will be taught using relevant industry specific case studies and examples.
  • This training course is very hands-on/practical and is not a lecture or seminar. Participants will be expected to complete exercises and case studies on their own with necessary support and guidance from the instructor.
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