Online Class: Python, Data Science & Machine Learning Course

Online Class: Python, Data Science & Machine Learning Course

by Gulf Consulting

2,090 AED

(VAT inclusive)

Online Class: Python, Data Science & Machine Learning Course

2,090 AED

(VAT inclusive)

by:
when:
Tue, 17 Nov 2020 6:30PM + 18 dates
(see timings & price options)
where:
Dubai - Online Class
level:
Beginner
Cancellation Policy: 48 hours prior to course start with full refund
We offer a best price guarantee for our classes. If you get a better price, let us know & we'll give you a free AED 100 voucher.
Description:

Solve the world's most interesting problems with data science. Not only is data science a rewarding career, but it's also been ranked as the number one job on Glassdoor. If you're looking to advance your career as a data scientist or data analyst, this online course provides the gateway for your opportunities.

This course is suitable for fresh graduates and working professionals who are looking to get into the data science industry and become proficient in data analytics. You'll learn how to use Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms.

Course Outline

  • Module 1: Introduction to Python
    • Goal: Brief idea of what Python and the basics of python.
  • Module 2: Datatypes and operations
    • Goal: Learn different types of sequence structures, related operations, and their usage.
  • Module 3: Functions and OOPs
    • Goal: In this module, you will learn how to create user-defined functions and different Object-Oriented Concepts like Inheritance, Polymorphism, Overloading, etc.
  • Module 4: Working with Modules and Handling Exception
    • Goal: In this module, you will learn how to create generic python scripts, how to address errors/exceptions in code
  • Module 5: Introduction to NumPy & Pandas
    • Goal: This module helps you get familiar with the basics of statistics, different types of measures, and probability distributions
  • Module 6: Data Visualisation
    • Goal: In this module, you will learn in detail about data visualization.
  • Module 7: Data Manipulation
    • Goal: Through this module, you will understand in detail about Data Manipulation.
  • Module 8: Introduction to Machine Learning with Python
    • Goal: In this module, you will learn the concept of Machine Learning and its types.
  • Module 9: Regression
    • Goal: In this module, you will learn different regression Techniques and their implementation
  • Module 10: Supervised Learning - I
    • Goal: In this module, you will learn Supervised Learning Techniques and their implementation, for example, Decision Trees, Random Forest Classifier, etc.
  • Module 11: Supervised Learning - II
    • Goal: In this module, you will learn Supervised Learning Techniques and their implementation, for example, Decision Trees, Random Forest Classifier, etc.

Skill Level:

Beginner

Materials:

  • Students must have access to Wi-Fi and a basic PC/laptop with 4 GB RAM 

Cancellation Policy:

48 hours prior to course start with full refund

Age Requirements:

21 and older

Additional Info:

  • Students must have a bachelor's degree in any program; final-year degree students are also eligible to attend

  • An E-certificate will be provided by the institute a day after course completion

  • Upon booking the class, the instructor will contact you to send you a link to the online portal, where the class will be conducted

Location:

Zoom Link
Online Class
Dubai

Register for the class
Schedule
# Sessions
Price
Click here for schedule information
This course consists of multiple sessions, view schedule for sessions below:
Tuesday
17 NOV
6:30PM - 8:30PM
Thursday
19 NOV
6:30PM - 8:30PM
Friday
20 NOV
6:30PM - 8:30PM
Saturday
21 NOV
6:30PM - 10:00PM
Monday
23 NOV
6:30PM - 8:30PM
Tuesday
24 NOV
6:30PM - 8:30PM
Thursday
26 NOV
6:30PM - 8:30PM
Friday
27 NOV
6:30PM - 8:30PM
Saturday
28 NOV
6:30PM - 10:00PM
Monday
30 NOV
6:30PM - 8:30PM
Tuesday
1 DEC
6:30PM - 8:30PM
Thursday
3 DEC
6:30PM - 8:30PM
Friday
4 DEC
6:30PM - 8:30PM
Saturday
5 DEC
6:30PM - 10:00PM
Monday
7 DEC
6:30PM - 8:30PM
Tuesday
8 DEC
6:30PM - 8:30PM
Thursday
10 DEC
6:30PM - 8:30PM
Friday
11 DEC
6:30PM - 8:30PM
Saturday
12 DEC
6:30PM - 10:00PM
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