Python for Data Analysis and Visualization

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Course Outline

A comprehensive list of all sections & lectures for this course can be found below.

Section 1: Introduction

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

Section 2: Python Building Blocks

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

Section 3: Data Structures

Introduction to List data type - 07:48 [Play]

Methods in List Data type - 09:41

Dictionary - 07:08

Sets - 08:09

Tuple - 05:11

Section 4: Flow control statements and Functions

IF-ELSE, WHILE and FOR - 13:00 [Play]

Functions - Basics - 04:28

Lambda Function - 05:45

Section 5: File Input/Output

File handling - read operations - 05:10 [Play]

File handling - write operations - 03:45

Section 6: Object Oriented Programming

Classes and Objects - 06:38 [Play]

OOPS Inheritance - 06:15

Section 7: Errors and Exceptions

All about errors and exceptions - 09:36 [Play]

Raise and Assert Statements - 03:41

Section 8: Text mining using Regular Expressions

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

Section 9: NumPy

NumPy Introduction - 10:28 [Play]

Indexing and Slicing - 05:47

Mathematical Operations- Universal Functions - 05:54

Sort Combine and Split arrays - 08:17

Section 10: Pandas

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

Section 11: MatplotLib

MatplotLib Introduction - 05:51 [Play]

Object Oriented Plotting - 05:10

Formatting a plot - 06:00

Course Description

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.

Overview of Python
Installing and Starting Python
Writing your first Python program
Variables, Keywords and Data Types
Operators and Expressions
Built in Functions
List, dictionary, tuple and set data type
Flow control statements
File Input and Output (I/O)
Object oriented programming
Errors and Exception handling
Regular Expressions in Python (RegEx)
NumPy
Pandas
Matplotlib

Why learn from us?

Save your time and your money with us by using the exact training courses that have been used to equip over 1000 beginners with Python skills that they can apply to their day-to-day jobs.
Leverage our real-world understanding and experience, with instruction from analytics experts who have built their careers applying statistics to real business problems on a day-to-day basis.
Develop your skills in Data Analytics & Data Science with our expanding range of high quality programs, that equip you with the real-world skills needed to succeed in the workplace of the future.

Course Instructor - Sachin Dean

Teaching 4 Courses

sachin dean is currently teaching 4 courses. All courses are currently open for enrollment.

10,235 Enrollments

sachin dean currently has 10,235 global enrollments across 4 courses that are active on the platform.

4.5 Star Rating

sachin dean has an average rating of 4.5/5 stars, across 4 courses.

Connect with sachin dean

Connect with sachin dean in order to communicate directly with this instructor.

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