Enrolling in the Python for Everybody Specialization course is a fantastic way to gain essential Python skills, which hold tremendous importance in various fields. This course introduces you to the world of programming using Python, a versatile language used for web development, data analysis, and more. Acquiring these skills not only enhances your problem-solving abilities but also equips you to excel in a wide range of technological endeavors. We will provide you with a comprehensive review of this specialized certificate offered by the University of Michigan through Coursera.
Table of Contents
Course Overview: Python for Everybody
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your applications for data retrieval, processing, and visualization. Through this beginner-level program, you will master fundamental concepts of Python. You will learn from subject-matter experts at the University of Michigan and after completing the full program, you’ll have a portfolio of projects and a specialization certificate from the University of Michigan to showcase your expertise.
Course Content:
This 5-course specialization certificate is designed to equip you with the tools you need to succeed in your career as a Python expert. Each course has modules based on different topics and each Module is considered to be complete in one week.
Course 1: Programming for Everybody (Getting Started with Python)
Discover the foundations of computer programming with Python in this introductory course. Learn to build programs using basic instructions, suitable for beginners with minimal math background. Ideal for those with moderate computer experience, the course covers Chapters 1-5 of the “Python for Everybody” textbook. After completing this course, you’ll be prepared to pursue more advanced programming studies. The focus is on Python 3. The estimated course completion time is 19 hours.
Module 1: Chapter 1 – Why We Program
Module 2: Installing Python
Module 3: Chapter 1 – Why We Program (Continued)
Module 4: Chapter 2 – Variable and Expressions
Module 5: Chapter 3 – Conditional Code
Module 6: Chapter 4 – Functions
Module 7: Chapter 5 – Loops and Iteration
Course 2: Python Data Structures
Dive into Python’s fundamental data structures in this course. Learn to work with lists, dictionaries, and tuples, advancing your data analysis skills. Building on procedural programming, you’ll explore Chapters 6-10 of the “Python for Everybody” textbook. The focus is on Python 3. The estimated course completion time is 19 hours.
Module 1: Chapter 6 – Strings
Module 2: Unit – Installing and Using Python
Module 3: Chapter 7 – Files
Module 4: Chapter 8 – Lists
Module 5: Chapter 9 – Dictionaries
Module 6: Chapter 10 – Tuples
Module 7: Graduation
Course 3: Using Python to Access Web Data
Learn to harness the Internet as a data source in this course. You’ll extract web data through scraping, parsing, and APIs using Python. Handle HTML, XML, and JSON formats. The curriculum spans Chapters 11-13 of “Python for Everybody”. Prerequisite knowledge from Chapters 1-10, and the first two courses in this specialization, covers variables, expressions, loops, functions, data structures, and file manipulation. This course focuses on Python 3. The estimated course completion time is 19 hours.
Module 1: Getting Started
Module 2: Chapter 11 – Regular Expression
Module 3: Chapter 12 – Network and Sockets
Module 4: Chapter 12 – Programs that Surf the Web
Module 5: Chapter 13 – Web Services and XML
Module 6: Chapter 13 – JSON and the Rest Architecture
Course 4: Using Databases with Python
In this course, dive into the basics of Structured Query Language (SQL) and database design using SQLite3 for data storage within multi-step data analysis workflows. The curriculum covers Chapters 14-15 of “Python for Everybody”. Prior understanding of Chapters 1-13 and the first three courses in the specialization is needed. The course includes web crawlers, multi-step data processes, and basic data visualization using the D3.js library. The estimated course completion time is 14 hours.
Module 1: Object Python
Module 2: Basic Structured Query Language
Module 3: Data Models and Relational SQL
Module 4: Many-to-Many Relationships in SQL
Module 5: Databases and Visualization
Course 5: Capstone: Retrieving, Processing, and Visualizing Data with Python
In the capstone, students will create applications to retrieve, process, and visualize data using Python, covering all specialization elements. The initial part introduces visualizations using new technologies. Then, students initiate their projects to visualize different data. Chapters 15 and 16 from “Python for Everybody” guide the capstone. This course is centered around Python 3. The estimated course completion time is 9 hours.
Module 1: Welcome to the Capstone
Module 2: Building a Search Engine
Module 3: Exploring Data Sources (Project)
Module 4: Spidering and Modeling Email Data
Module 5: Accessing New Data Sources (Project)
Module 6: Visualizing Email Data
Module 7: Visualizing New Data Sources (Project)
Major Learnings:
- Learn to build programs using basic instructions in Python, covering variables, expressions, conditional code, functions, and loops.
- Gain skills in working with strings, lists, dictionaries, and tuples in Python, enhancing data analysis abilities.
- Acquire techniques for extracting and manipulating web data through scraping, parsing, and APIs using Python, including handling HTML, XML, and JSON formats.
- Develop proficiency in using SQL, SQLite3, and databases for efficient data storage, querying, and basic visualization, integrating with multi-step data analysis workflows.
Skills you will gain include JSON, XML, Python Programming, Database (DBMS), and more.
Course Format and Duration:
This course is completely online, so there’s no need to attend a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or mobile. You will learn through videos, assessments, and hands-on labs. You’ll work with various data sources and project scenarios to gain practical data manipulation experience and apply programming skills. This program includes over 800 hours of instruction and hundreds of practice-based assessments. Ideally, it will take 2 months to complete if you spend 10 hours a week. Moreover, this course has a flexible schedule, meaning everyone can learn at their own pace.
Certificates and Credentials:
Finally, you will earn a job-ready specialization certificate after all your hard work. You can add these credentials to your LinkedIn profile, resume, or CV Share it on social media and in your performance review.
Pricing:
The University of Michigan Python Specialization Certificate will cost you $ 49 per month. You can save money by increasing the course pace. If you complete the course in the recommended 2 months, it will cost you USD 98, and if you complete the course in 1 month, it will cost you $ 49 US. Enroll Now
Coursera also offers a 7-day free trial with unlimited access to all courses in the Certificate. You can cancel the trial at any time with no penalties if you cancel before the trial ends if it’s not right for you.
Coursera Also offers financial aid in case you cannot bear the course fee. All you need to do is apply for financial aid and wait up to 16 days until your aid is approved.
Reviews from Other Users:
This professional certificate is rated 4.8 stars by 200,000+ learners, which shows this course adds great value to the course graduate career.
Conclusion and Recommendation:
After reviewing all course details, The Python for Everybody Specialization offers a comprehensive journey into fundamental programming concepts using Python, enabling you to design and create applications for data retrieval, processing, and visualization. This beginner-level program equips you with essential Python skills while providing hands-on projects to showcase your expertise. With a solid curriculum and practical projects, this specialization certificate from the University of Michigan is a valuable asset to kickstart your Python programming journey and advance your career opportunities in the tech world.
Comparison with Similar Course:
If you are interested in specifically learning Artificial Intelligence & I recommend you take a look at the IBM AI Engineering professional course review offered on Coursera.
