Machine Learning and Data Science using Python
Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!
Updated on Jun, 2025
Language - English
Development ,Data Science,Machine Learning
Lectures -32
Duration -1.5 hours
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Course Description
You are not alone. Digital Disruption experts are here to help you build your career in Machine Learning, Deep Learning and Data Science.
A good beginning is half of the success you have achieved half the success by enrolling on our course, the rest half is consistent learning after that great beginning. We are committed to excelling in providing good beginning and consistent learning to our learners.
Skill-up to Scale-up. Start with our incredible course. Wish you all the very best in your future endeavours.
Goals
Introduction to Python.
Data Structures in Python.
Control Structures and Functions.
Python for Data Science.
Introduction to NumPy.
Operations on NumPy Arrays.
Introduction to Pandas.
Getting and Cleaning Data.
Data Visualisation in Python.
Introduction to Data Visualisation.
Basics of Visualisation.
Plotting Data Distributions.
Plotting Categorical and Time-Series Data.
Prerequisites
No programming experience is needed.
Curriculum
Check out the detailed breakdown of what’s inside the course
Machine Learning and Data Science using Python
32 Lectures
-
ML and AI Pre Program Basics Index
03:10
03:10
-
Welcome to the Pre Program Preparatory Content
04:26
04:26
-
Introduction to Python
00:42
00:42
-
Anaconda Installation
05:39
05:39
-
Jupyter Notebook Introductory Session Shortcuts
06:14
06:14
-
Data Structures
04:08
04:08
-
Python Code Introduction DataTypes
03:00
03:00
-
Python Code Lists
05:16
05:16
-
Python Code Tuples
01:23
01:23
-
Python Code Dictionaries
03:23
03:23
-
Python Code Sets
01:16
01:16
-
Control Structures and Functions
04:41
04:41
-
Python Code IfElse
01:50
01:50
-
Python Code Looping
02:10
02:10
-
Python Code Comprehensions
02:03
02:03
-
Python Code Functions
01:44
01:44
-
Python Code Map, Reduce and Filter
01:16
01:16
-
Introduction to Numpy
03:12
03:12
-
Python Code NumPy Basics
10:27
10:27
-
Operations on Numpy arrays
03:17
03:17
-
Python Code Operations on Numpy Arrays
04:13
04:13
-
Introduction to pandas
03:02
03:02
-
Getting and cleaning data
06:32
06:32
-
Vectors and Vector spaces
05:03
05:03
-
Linear Transformations And Matrices
02:42
02:42
-
Eigen values and Eigen vectors
03:41
03:41
-
Multivariable Calculus
04:41
04:41
-
Introduction to data visualisation
03:14
03:14
-
Basics of Visualisation
03:51
03:51
-
Plotting data distributions
04:13
04:13
-
Plotting Categorical and Time Series Data
02:54
02:54
-
Summary
03:06
03:06
Instructor Details
Digital Disruption Pte Ltd
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