Data Science: Python for Data Analysis Full Bootcamp 2024 Course For Free With Certification | Free Udemy Course | First 1000 Users for Free |


 


 

 





















































Data Science: Python for Data Analysis Full Bootcamp


Learn and build your Python Programming skills from the ground up in addition to Python Data Science libraries and tools



What you'll learn
  • Code with Python Programming Language
  • Python Functional Programming
  • Structure Data using collection containers
  • Object-Oriented Design
  • Advanced Python Foundations
  • Handling Data with Python Libraries
  • Numerical Python
  • Extracting and Analyzing data from different resources
  • Data Analysis with Pandas
  • Data Visualization using matplotlib
  • Advanced Visualization with Seaborn
  • Build Python solutions for data science
  • Get Instructor QA Support and help

Requirements

  • No Python prior experience is required to take this Training
  • Computer and Internet access

Description

Hello and welcome to Data Science: Python for Data Analysis Full Bootcamp.


Data science is a huge field, and one of the promising fields that is spreading in a fast way. Also, it is one of the very rewarding, and it is increasing in expansion day by day, due to its great importance and benefits, as it is the future.


Data science enables companies to measure, track, and record performance metrics for facilitating and enhancing decision making. Companies can analyze trends to make critical decisions to engage customers better, enhance company performance, and increase profitability.


And the employment of data science and its tools depends on the purpose you want from them.


For example, using data science in health care is very different from using data science in finance and accounting, and so on. And I’ll show you the core libraries for data handling, analysis and visualization which you can use in different areas.


One of the most powerful programming languages ​​that are used for Data science is Python, which is an easy, simple and very powerful language with many libraries and packages that facilitate working on complex and different types of data.




This course will cover:


Python tools for Data Analysis


Python Basics


Python Fundamentals


Python Object-Oriented


Advanced Python Foundations


Data Handling with Python


Numerical Python(NumPy)


Data Analysis with Pandas


Data Visualization with Matplotlib


Advanced Graphs with Seaborn


Instructor QA Support and Help


HD Video Training + Working Files + Resources + QA Support.


In this course, you will learn how to code in Python from the beginning and then you will master how to deal with the most famous libraries and tools of the Python language related to data science, starting from data collection, acquiring and analysis to visualize data with advanced techniques, and based on that, the necessary decisions are taken by companies.


I am Ahmed Ibrahim, a software engineer and Instructor and I have taught more than 500,000 engineers and developers around the world in topics related to programming languages ​​and their applications, and in this course, we will dive deeply into the core Python fundamentals, Advanced Foundations, Data handling libraries, Numerical Python, Pandas, Matplotlib and finally Seaborn.


I hope that you will join us in this course to master the Python language for data analysis and Visualization like professionals in this field.


We have a lot to cover in this course.


Let’s get started!



Who this course is for:

  • Python beginners and newbies
  • Data Scientist who knows other language tools
  • New Python Data Analysts
  • Data Science Beginners
  • New developers and Programmers
  • Programmers and developers who know other programming language but are new to python
  • Anyone who wants to use Python for data analysis and visualization in a short time!
  • Course content

13 sections • 76 lectures • 6h 10m total length

Preview

01:40

Preview

01:20

Preview

06:46

Preview

05:41

Using Anaconda Prompt

03:14

Quiz 1

3 questions

Variables and Types Tutorial

10:37

Describe what's inside the code

04:44

Define Blocks and Avoid IndentationError

04:19

Strings full tutorial

13:43

Numbers, Math and f-string tutorial

15:13

Handling inputs and outputs

04:29

Quiz 2

7 questions

Structure Data using lists

21:02

Structure data using tuples

10:31

Structure Data using Dictionaries

08:04

Structure Data using sets

07:21

Quiz 3

8 questions

Comparing Values

08:36

Output from Logics

06:48

Conditional Statements

08:55

The while loop in Python

02:56

The for loop in Python

07:18

Python Library Functions

11:21

User-Defined Functions

07:30

The lambda power

08:50

The break statement

04:05

The continue statement

04:34

The for else statement

02:14

Program to Put all together

01:43

Quiz 4

5 questions

Core Python OOP: Classes and Instances

12:01

Core Python OOP: Exploring Inheritance

10:10

Quiz 5

5 questions

Concise Comprehensions

05:52

Constructed modules and random

06:37

Doing mathematics

04:46

Doing statistics

04:17

Errors Exploration

04:28

Exceptions Playground

06:44

Quiz 6

4 questions

IO data in memory

07:11

Interacting with operating system data

03:03

Moving data files between directories

04:41

Data will be in the trash bin

04:16

Zipping and Unzipping Data

06:49

Quiz 7

4 questions

NumPy Level 1

07:09

NumPy Level 2

05:03

NumPy Level 3

02:25

NumPy Level 4

03:44

NumPy Level 5

05:38

NumPy Level 6

03:49

NumPy Level 7

03:46

NumPy Level 8

03:19

NumPy Level 9

03:07

Quiz 8

6 questions

Pandas data analysis level 1

03:49

Pandas data analysis level 2

04:41




Pandas data analysis level 3

02:18

Pandas data analysis level 4

03:31

Pandas data analysis level 5

02:52

Pandas data analysis level 6

04:30

Quiz 9

5 questions

Matplotlib data visualization level 1

02:57

Matplotlib data visualization level 2

01:31

Matplotlib data visualization level 3

03:05

Matplotlib data visualization level 4

03:13

Matplotlib data visualization level 5

01:36

Matplotlib data visualization level 6

03:01

Matplotlib data visualization level 7

02:32

Quiz 10

2 questions

Seaborn statistical graphs level 1

03:41

Seaborn statistical graphs level 2

01:56

Seaborn statistical graphs level 3

01:16

Seaborn statistical graphs level 4

01:39

Seaborn statistical graphs level 5

02:30

Seaborn statistical graphs level 6

02:30

Seaborn statistical graphs level 7

01:49

Seaborn statistical graphs level 8

00:10

Python Programming

00:39

NumPy

00:28

Pandas

00:24

Matplotlib

00:35

Seaborn

00:28

Bonus

00:11


Instructor

Ahmed El Mohandes

Software Engineer | Data Science Professional | Instructor

Ahmed El Mohandes

4.3 Instructor Rating

10,510 Reviews

548,374 Students

15 Courses

Ahmed Ibrahim (Ahmed El Mohandes) is A Software Development Engineer | Data Science Professional | Training Content Engineer/Instructor


I taught for more than 700,000 students, developers and engineers from more than 190 countries around the world.


- Programming Languages: Python, R, JavaScript, Java and Go.


- Data Science: Data Analysis and Visualization tools and Libraries with Python, R, SQL and Spark.


- Databases: Relational and Non-Relational.


- Applied experience with many programming languages and tools, also a proficient knowledge and experience in Software Engineering and Data Science with skills to analyze, design and develop.


- Bachelor's degree of Electrical, Communications and Computer Engineering.


I'm always have a passion to develop my work and I like to simplify and clarify Software and Data Science skills and tools, and sharing my skills and expertise with others via high quality, and direct to point video training courses.


SDE Arts | Octavo

Software Development and Data Science Video Courses

SDE Arts | Octavo

4.3 Instructor Rating

11,041 Reviews

695,617 Students

15 Courses

SDE Arts | Octavo provides Software Development & Data Science online video courses.


SDE Arts | Octavo's main objective is to provide high-value skills in Software Technologies by using high quality, well prepared, focused and direct to the point videos to save your precious time.


We will show you practically how to become very skilled in the Software Engineering field to make your career better and move forward with amazing speed.




We taught for more than 500,000 happy students, developers and engineers from over 190 countries around the world.


This course includes:

6 hours on-demand video

2 articles

11 downloadable resources

Access on mobile and TV

Full lifetime access

Certificate of completion

Coupon Code: 78E5BB82BA8E853AB8C7 

Click Here To Apply

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