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
- 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
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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