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

Advanced Python with Data science & Machine Learning

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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.

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