Diploma in Python with Data Science and Machine Learning

Python Bootcamp with Data Science & Machine Learning with bonus Java series

3.50 (476 reviews)
Udemy
platform
English
language
IT Certification
category
46,510
students
31.5 hours
content
Mar 2023
last update
$59.99
regular price

What you will learn

Advanced Python with Data science & Machine Learning

Python Data Types Lists, dictionary

Java programming in deep

Data science with Java

Machine Learning with python

Multithreading

Current Projects

Description

Are you having an interest in learning a python programming language and searching for a better course for your brighter career? Then explore us and get your career solution right now.

Diploma in python programming course leads the students from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data. The use of this programming language is to store different types of data into a variable format. Python is one of the absolute, flexible and powerful open source language which can be used in scientific computing, finance, oil and gas, physics and signal processing. This programming language has recently begun to gain an ever-increasing market share. The cross-platform nature of Python programming enables a better use for different tasks on any operating system. This provides an opportunity towards the Python developers to get utilised for different IT related roles. One of the most amazing features of Python is that it is actually one person’s work. Generally, new programming languages are developed and published by large companies employing lots of professionals experts, and due to copyright rules, it is very hard to name any of the persons involved in the project. Python is an exception to all of this as it is very convenient to use by anyone having a knowledge of programming language.

TOPICS COVERED IN THE COURSE WILL BE

1) Introduction to course

1.1 Python Introduction

1.2 History of Python

1.3 Scope of Python

1.4 Applications of Python

1.5 Why Python is everywhere

1.6 How Python is different

1.7 Running Python

2.1 Variables in Python

2.2 Data Types

2.3 Lists in Python

2.4 Demo of List function

2.5 Tuples

2.6 Python Dictionary

3.1 Python Operators

3.2 If Else statement

3.3 Indentation

3.4 Assignment 1

4.1 Iterative Statements

4.2 While Statement

4.3 For Statement

4.4 Touple

4.5 Assignment 2

5.1 Demo 1 For loop

5.2 Demo 2 While loop

5.3 Demo 3 Range function

5.4 Test 1

6.1 Python Bootcamp Introduction

6.2 Data Science & ML introduction

6.3 Python Crash Course Introductory

6.4 Python Crash course lecture 1

6.5 Dictionaries in Python

6.6 Jupiter Python Exercises

6.7 Operators in Python

6.8 Iterative Statements

6.9 Python Functions

7.1 Data Analysis Numpy Part 1

7.2 Data Analysis Numpy Part 2

7.3 Data Analysis Numpy Part 3

7.4 Data Analysis Numpy Part 4

8.1 Data analysis Pandas part 1

8.2 Data analysis Pandas part 2

8.3 Data analysis pandas Part 3

8.4 Data analysis pandas Part 4

8.5 Data Analysis Pandas Part 5

8.6 Data Analysis Pandas Part 6

8.7 Data Analysis Pandas Part 7

9.1 Data Visualization Matplotlib Part 1

9.2 Data Visualization Matplotlib Part 2

10.1 Data Visualization seaborn Part 1

10.2 Data Visualization seaborn Part 2

11.1 Machine Learning part 1

11.2 Machine Learning part 2

12.1 to 12.12 At the end you will get bonus Java lecture series...

The use of this programming language is to store different types of data into a variable format. Python is one of the absolute, flexible and powerful open source language which can be used in scientific computing, finance, oil and gas, physics and signal processing. This programming language has recently begun to gain an ever-increasing market share. The cross-platform nature of Python programming enables a better use for different tasks on any operating system. This provides an opportunity towards the Python developers to get utilized for different IT related roles. One of the most amazing features of Python is that it is actually one person’s work. Generally, new programming languages are developed and published by large companies employing lots of professionals experts, and due to copyright rules, it is very hard to name any of the persons involved in the project. Python is an exception to all of this as it is very convenient to use by anyone having a knowledge of programming language

Content

Introduction

Introduction
1.1 Python Introduction
1.2 History of Python
1.3 Scope of Python
1.4 Applications of Python
1.5 Why Python is everywhere
1.6 How Python is different
1.7 Running Python

2. Coding in Python

2.1 Variables in Python
2.2 Data Types
2.3 Lists in Python
2.4 Demo of List function
2.5 Tuples
2.6 Python Dictionary

3. Core of Python in depth

3.1 Python Operators
3.2 If Else statement
3.3 Indentation
3.4 Assignment 1

4. Multithreading in Python

4.1 Iterative Statements
4.2 While Statement
4.3 For Statement
4.4 Touple
4.5 Assignment 2

5. Demonstration

5.1 Demo 1 For loop
5.2 Demo 2 While loop
5.3 Demo 3 Range function
Test 1
Test 2

6 Python Bootcamp

6.1 Python Bootcamp Introduction
6.2 Data Science & ML introduction
6.3 Python Crash Course Introductory
6.4 Python Crash course lecture 1
6.5 Dictionaries in Python
6.6 Jupiter Python Exercises
6.7 Operators in Python
6.8 Iterative Statements
6.9 Python Functions

7. Data Analysis Numpy series

7.1 Data Analysis Numpy Part 1
7.2 Data Analysis Numpy Part 2
7.3 Data Analysis Numpy Part 3
7.4 Data Analysis Numpy Part 4

Data Analysis Pandas

data analysis Pandas part 1
data analysis Pandas part 2
data analysis pandas Part 3
data analysis pandas Part 4
Data Analysis Pandas Part 5
Data Analysis Pandas Part 6
Data Analysis Pandas Part 7

Data Visualization Matplotlib

Data Visualization Matplotlib Part 1
Data Visualization Matplotlib Part 2

Data Visualization seaborn

Data Visualization seaborn Part 1
Data Visualization seaborn Part 2

Machine Learning

Machine Learning part 2
Machine Learning part 2

Java Programming Certification

1. Java introduction
2. Variables in Java
3. Identifiers in Java
4. Reserved Keywords in Java
5. Literals in Java
6. Arrays in Java
7. Strings in Java part 1
8. Strings in Java part 2

Screenshots

Diploma in Python with Data Science and Machine Learning - Screenshot_01Diploma in Python with Data Science and Machine Learning - Screenshot_02Diploma in Python with Data Science and Machine Learning - Screenshot_03Diploma in Python with Data Science and Machine Learning - Screenshot_04

Reviews

Florian
December 10, 2021
Bad audio quality and the course is basically just taken from w3schools. The code examples haven't even been renamed.
Jorge
November 28, 2021
El ingles puede llegar a ser un poco confuso con algunas pronunciaciones de palabras, pero en general el contenido es muy bueno
Aman
November 16, 2021
Due to background noise the verbal sound is not proper need to be improved at that level, secondly teacher is not relaxed and want to complete the sentence and course faster.
Rafael
October 10, 2021
My impression so far is: bad audio quality, very 1st lesson seems to have a cut in the end and it felt too rendundant. Not a clear definition of programing x scrip language was given.
Vineet
September 30, 2021
this course was worse than the worst Youtube videos...literally a complete waste of time not matter what your skill level is...you could get better knowledge in youtube
Jeremiah
June 16, 2021
Audio needs improvement. Excellent at tackling the basics though. The Java topics at the end is not consistent with the course title.
Onur
June 15, 2021
Terrible course, bunch of noise in the background and the name of the instructor is a lie, just click on it and check out the link to see the actual person pretending to be an establishment.

Coupons

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6/13/2021100% OFF
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6/18/2021100% OFF
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4061438
udemy ID
5/19/2021
course created date
6/13/2021
course indexed date
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