How to install pip on macOS
To install pip, the Python package manager, on macOS, you need to make sure you have
DS-PYT-BAS
- DS-PYT-BAS [ code. 7001 ]
Python Fundamentals for Data Science
Don't miss your chance to break into the fascinating world of data science! Enroll today in our “Python Fundamentals for Data Science” course. Learn from experts, master essential skills, and become an expert in one of the most in-demand programming languages in the field of data science. Invest in your future now! Remember, it's not just about learning a new programming language, it's the first step to transforming your career and achieving your professional goals. Do not miss this opportunity!
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Content and access to the course
Course content
DS-PYT-BAS: Before you begin
DS-PYT-BAS: Chapter 1
DS-PYT-BAS: Chapter 2
DS-PYT-BAS: Chapter 3
DS-PYT-BAS: Chapter 4
This course includes
-
Certification Exam
DS-PYT-BAS [ code. 7001 ] - Certificate of Approval issued by Academy Xperts
- Study book
- Preparation questionnaires by Chapters
- Certification Exam at no cost
- Permanent access to the training portal
- Access to all future Content updates
About the online course
- Live Trainer
- 12 hours long (3 days, 4 hours each day)
- The course is approved with a score equal to or greater than 7.5/10 (75%)
- Course level: Basic
Pre requirements
- Basic Computer Knowledge: How to browse the Internet, download and install software, manage files, etc.
- Basic Mathematics: Elementary understanding of arithmetic and, optionally, algebra.
- Programming Experience (Optional): While not strictly necessary, prior experience in another programming language may be helpful.
What you need to attend the OnLine course
- Internet connection of at least 1 Mbps
- Laptop or desktop computer preferably
- Tablet or cell phone are an alternative
DS-PYT-BAS Instructors
Wendy Yanez
- Telematics engineer
- MSC Computer Security
- PhD in Computer Science
Course Objectives
This course is designed to provide students with a comprehensive understanding of the fundamentals of the Python programming language, with a particular focus on its application in Data Science.
Over the course of four chapters, students will be introduced to the basics of Python, its data structures, programming fundamentals, and how to work with arrays using Numpy.
Chapter 1: Python Basics
- Introduce students to what Python is, its main features and applications.
- Provide information on more specific aspects and advanced uses of the language.
- Present different environments and tools associated with Python.
- Familiarize students with the different versions and libraries of Python.
- Explain the Python execution model.
- Provide an understanding of the main data types in Python, including expressions and variables.
- Delve into operations with strings in Python.
Chapter 2: Data Structures in Python
- Introduce the fundamental data structures in Python: lists, tuples, sets and dictionaries.
- Provide details on how this data is created, manipulated, and accessed.
- Provide practical examples of use and application of these structures in real contexts.
Chapter 3: Python Programming Fundamentals
- Familiarize students with the basic concepts of Python programming.
- Introduce conditions and how they affect the flow of a program.
- Delve into the concept of “branching” or bifurcation for decision making.
- Explain loops and their usefulness in repetitive code execution.
- Introduce the concept of functions and how they are defined and used in Python.
- Provide an understanding of objects and classes, fundamentals of object-oriented programming in Python.
Chapter 4: Working with Numpy Arrays
- Introduce Numpy, one of the most used libraries in Python for data management and scientific calculations.
- Explain and practice with one-dimensional arrays (1d Arrays) and two-dimensional arrays (2d Arrays) in Numpy.
- Provide practical examples and exercises to reinforce the understanding of matrices and their manipulation in Data Science contexts.
By the end
This course seeks to provide a solid foundation for those who wish to enter the world of Data Science using Python as the main tool.
Help Resources for Python
What is pip
pip is the package management system used to install and manage packages.
How to install PyCharm on macOS
PyCharm is a cross-platform IDE that provides a consistent experience across Windows operating systems,
What is PyCharm and its comparison with other IDEs
PyCharm is an integrated development environment (IDE) used for programming in Python. Is developed
How to install Python on a Mac
Python is widely used for everything from extracting data to building websites, and during
Where to start to install Python
Before installing Python on your computer, it is important to know some basics and perform
Code editor and integrated development environment
A code editor is a software tool that software developers use
What is Python and its relationship with Data Science
Python is a high-level programming language that is known for its code
Upcoming DS-PYT-BAS courses
Do you need more info?
We invite you to leave us your information to answer your questions.
Certification Exam
Only students who pass the Exam will receive the PDF Certificate.
Online Exam
The exam is taken online on this platform
30 questions
Time 1 hour
Approval
The Exam is passed with a score of 75%
You automatically have a second chance.
Digital Certificate
The Certificate of Attendance and Participation is issued immediately in PDF format on this platform.
