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Python for Data Analysis and Visualization.
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A comprehensive list of all sections & lectures for this course can be found below.
About the course - 03:13 [Play]
Python Introduction - 04:01
Installing Python - 05:29
Writing your first code in Python - 04:01
All about Jupyter Notebook - 05:22
Operators - 05:19 [Play]
Functions - 06:39
Variables - 03:50
String Data Type - 1 - 02:54
String Data Type - 2 - 02:37
String Data Type - 3 - 03:24
String Data Type - 4 - 02:39
String Data Type - 5 - 03:13
String Data Type - 6 - 12:50
Introduction to List data type - 07:48 [Play]
Methods in List Data type - 09:41
Dictionary - 07:08
Sets - 08:09
Tuple - 05:11
IF-ELSE, WHILE and FOR - 13:00 [Play]
Functions - Basics - 04:28
Lambda Function - 05:45
File handling - read operations - 05:10 [Play]
File handling - write operations - 03:45
Classes and Objects - 06:38 [Play]
OOPS Inheritance - 06:15
All about errors and exceptions - 09:36 [Play]
Raise and Assert Statements - 03:41
Introduction to regular expressions - 04:21 [Play]
Extracting numbers from text - 04:12
FINDITER method - 03:49
Meta characters and extracting email addresses - 08:15
NumPy Introduction - 10:28 [Play]
Indexing and Slicing - 05:47
Mathematical Operations- Universal Functions - 05:54
Sort Combine and Split arrays - 08:17
Pandas Introduction - 05:09 [Play]
Data frame attributes - 05:02
Reading and Writing data frame - 05:57
Index Slice Drop Data frame - 05:55
Sorting and Filtering - 11:25
MatplotLib Introduction - 05:51 [Play]
Object Oriented Plotting - 05:10
Formatting a plot - 06:00
Why Should you learn Python?
The Python programming language is currently fuelling scientific programming, but this wasn’t always the case. For years academic scholars and private researchers were using the MATLAB language for scientific research. That all started to change with the release of Python numerical computation engines such as NumPy. allowing complex calculations to be done by a single “import” statement followed by a function call.
Slowly but surely, Python started to take over as the preferred language for data analytics and machine learning. Python is the future of Artificial Intelligence.
Given the flexibility of the language, its speed, and the machine learning functionality, we’ll continue to see Python dominate the machine learning landscape.
What is covered in this course?
This course is the complete guide to take you from a beginner in Python to an expert in data analysis and visualization.
Why learn from us?
All course reviews are written by students who have completed the course or are currently enrolled.
Awesome course..concepts are explained brilliantly. Thanks
The instructor seems knowledgeable and the content is easy to follow.
Good course content\n\n
Good course... Detailed explanation is the best part of this python course.
Yes..good so far and to the point
sachin dean is currently teaching 4 courses. All courses are currently open for enrollment.
sachin dean currently has 10,235 global enrollments across 4 courses that are active on the platform.
sachin dean has an average rating of 4.5/5 stars, across 4 courses.
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