Data Science: Python for Data Science 2023 Complete Bootcamp
Learn and build your Python Programming and Data Science Skills from the ground up with the support of a tutor
SDE Arts | Octavo
Summary
- Reed courses certificate of completion - Free
- Tutor is available to students
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Overview
Hello and welcome to the Data Science: Python Programming for Data Science 2023 Complete Bootcamp.
In this course, you will learn how to code in Python from the beginning, then you will master how to work with the most famous libraries and tools of the Python programming 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.
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
# Reviews about this course
★★★★★ "This course is very helpful for basic to advance level of learning in python.
I also like this course."
★★★★★ "This was simple and easy to follow and an eye-opener for a beginner to get started with Data analysis and visualization."
★★★★★ "Very good course
The instructor spoke very clear and was very knowledgeable"
★★★★★ "Enrolled this course to sharpen my knowledge in python programming language. Very complete course to begin mastering python."
★★★★★ "easy to understand. well organized course"
★★★★★ "Clear, and easy explanation. Great course for beginners who want to learn python and data science."
★★★★★ "This course is very helpful for me I would like to start research on fault diagnosis"
★★★★★ "Nice course with great practical examples."
★★★★★ "It's totally amazing !! The explanation about the topics is clear and very understandable"
Curriculum
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Introduction 19:44
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The basics of Python 55:07
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Python Data Structures 49:00
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The fundamentals of Python 1:15:54
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OOP in Python 23:12
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Advanced Concepts of Python 32:46
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Python Data Handling 26:02
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Scientific computing with NumPy 38:02
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Data analysis with Pandas 21:42
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Data visualization with Matplotlib 17:59
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Advanced Graphs and visualization with Seaborn 16:23
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Resources 02:37
Course media
Description
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.
By the end of this course, you'll learn:
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 200,000 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 is this course 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!
Requirements
- No Python prior experience is required to take this Training
- Computer and Internet access
Career path
- Python Data Scientist salaries currently range between $104,000 to $156,000
- Python Developer Avg. salary: $107,003 / Annual
- Software Engineer Avg. salary: $111,206 / Annual
- Software Developer Avg. salary: $100,000 / Annual
- Python Data Analyst Avg. salary: $115,156 per year
Questions and answers
Can an Android phone be used in place of a Conputer fur this course?
Answer:To follow this course without any obstacles you need a computer or laptop with any operating system, and the jupyter notebook installed. Best regards Ahmed Ibrahim
This was helpful.After the course is completed is there a test/exam?
Answer:In this Bootcamp, you'll get video training, resources and quizzes to test your knowledge. Once you complete 100% of the course, you'll get certificate of completing to boost your profile and career.
This was helpful.Hello After purchasing the course, how long do I have to start/finish it? Thanks
Answer:It's a self-paced course with lifetime access , means you can complete it in your own time and based on your own pace.
This was helpful.
Certificates
Reed courses certificate of completion
Digital certificate - Included
Will be downloadable when all lectures have been completed
Reviews
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
FAQs
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What is a ‘regulated qualification’?
A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.
What is an ‘endorsed’ course?
An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body’s logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
