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.
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
| Level | Course Name | Know More |
|---|---|---|
| Level I | Fundamental of Data Analytics & Interpretation ,Simple Measures of Data | Click here |
| Level II | Business Analytics with KPI Measurement using Statistics | Click here |
| Level III | Statistics for Data Analytics & Data Science | Click here |
| Level IV | Big Data Analytics & Visualization with R | Click here |
| Level V | Advanced Data Mining & Manipulation with Python | Click here |
| Level VI | Predictive Modeling & Evaluation with Machine Learning | Click here |
| Level VII | Advance Machine Learning and Artificial Intelligence with R & Python | Click here |
| Level VIII | Applied Analytics-Using Data Science & Machine Learning in Business Analytics | Click here |
| Level IX | Neural Network & Unsupervised Learning for Advanced AI | Click here |
Course Duration
32 Hours of Instructor Led Sessions
or
40 – 50 Hours of Assignments & Projects
Course Format
Five days Intensive Bootcamps/Workshops for Corporate batches
or
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 Format | Start Date | Duration | Register |
|---|---|---|---|---|
| Programming in Python | Weekend Afternoon | 2nd June 2024 | 6 Weeks | Register Here |
| Big Data Analytics with R | Weekend Afternoon | 18th June 2024 | 6 Weeks | Register Here |
| Programming in Python | Weekend Afternoon | 23rd June 2024 | 6 Weeks | Register 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.