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Ravi Puralena
Absolute beginners welcome! Did you know that programming has one of the highest dropout rates of all undergraduate majors? When approached in the wrong way, learning Java can be an incredibly frustrating process. In this guided project, we’ll draw upon 40...
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Absolute beginners welcome! Did you know that programming has one of the highest dropout rates of all undergraduate majors? When approached in the wrong way, learning Java can be an incredibly frustrating process. In this guided project, we’ll draw upon 40 years of research into the best ways to introduce new programming concepts in an enjoyable but rapid manner. Many courses with titles like "Python for Beginners" really mean “Python for people who know other programming languages but are beginners at Python." This guided project will include introductory programming activities that have been extensively researched to provide you the best possible foundation for learning to program using Python.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Uses research-proven intro programming concepts
Teaches foundational programming concepts for beginners
Provides a strong foundation for beginners in Java programming
Emphasizes a enjoyable and rapid learning process
Suitable for learners with no prior programming experience

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Reviews summary

Beginner python learning

This course is designed for those with no prior programming knowledge. It introduces fundamental programming concepts through hands-on activities and visual aids. While some students found the content too basic, others appreciated the accessible approach. The course may need improvements in organization and technical execution.
Instructor is knowledgeable and enthusiastic.
"...the instructor does appear to be very knowledgeable and capable..."
May not provide enough depth for all learners.
"...a very superficial look at some elements of programming..."
May experience technical difficulties with software.
"...the window was not large enough to see all the information..."
"...the program kept glitching..."
May be too fast for some beginners.
"...a beginner would struggle at the pace at which the information is given..."
May be too basic for those with some programming knowledge.
"...Very basic..."
"...Too simple..."
"...a guide to programming basics..."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn Python with no prior programming experience with these activities:
Review Java basics before starting the course
Ensures a solid foundation, refreshes prior knowledge, and reduces the learning curve.
Browse courses on Java Syntax
Show steps
  • Go through your notes or textbooks from previous Java courses.
  • Take online quizzes or practice exercises to test your understanding.
  • Complete any prerequisites or refresher materials provided by the course instructor.
Join a Java study group or online forum
Fosters collaboration, enables peer support, and promotes active learning.
Show steps
  • Identify or create a study group with other Java learners.
  • Establish regular meeting times and discuss course topics.
  • Share knowledge, ask questions, and collaborate on projects.
Follow Java tutorials online
Provides structured guidance, offers expert insights, and reinforces key concepts.
Show steps
  • Search for Java tutorials on platforms like Coursera, Udemy, or YouTube.
  • Choose a tutorial that aligns with your learning objectives.
  • Follow the tutorial step-by-step, taking notes and practicing the examples.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Read Head First Java
Gain a better understanding of Java syntax and concepts and solidifies the foundational principles of this programming language.
Show steps
  • Read the first three chapters to understand core concepts like variables, data types, and operators.
  • Work through the exercises at the end of each chapter to test your understanding.
  • Create a simple Java program to practice your skills.
Organize and review course materials regularly
Improves organization, enhances retention, and facilitates efficient studying.
Show steps
  • Create a system for organizing notes, assignments, and other course materials.
  • Set aside time for regular review of the organized materials.
  • Annotate and summarize important concepts and ideas.
Practice Java coding challenges
Strengthens problem-solving skills, enhance code quality, and prepares for technical interviews.
Show steps
  • Use online resources like HackerRank or LeetCode to find coding challenges of varying difficulty levels.
  • Choose a challenge and work through it, breaking it down into smaller steps.
  • Test your solution and debug any errors.
Build a simple Java project
Provides practical experience, reinforces learning, and encourages creativity.
Show steps
  • Identify a problem or task that you can solve with Java.
  • Design the architecture of your project and create a plan for implementation.
  • Write and test the Java code for your project.
  • Deploy and share your project with others.
Develop a Java programming portfolio
Demonstrates skills, showcases projects, and provides a tangible representation of learning.
Show steps
  • Collect and select your best Java projects.
  • Create a portfolio website or online repository to showcase your work.
  • Write descriptions and document your projects, explaining the problem each project solves and the techniques used.

Career center

Learners who complete Learn Python with no prior programming experience will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to help organizations make better decisions. This course may help prepare someone for a career as a Data Scientist because it introduces the basics of programming and data science. Python is a popular programming language used for data science, and this course provides a foundation in Python that would be useful for a Data Scientist.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, building, and maintaining machine learning models. This course may help prepare someone for a career as a Machine Learning Engineer because it introduces the basics of programming and machine learning. Python is a popular programming language used for machine learning, and this course provides a foundation in Python that would be useful for a Machine Learning Engineer.
Business Analyst
Business Analysts are responsible for analyzing business processes and data to help organizations improve their performance. This course may help prepare someone for a career as a Business Analyst because it introduces the basics of programming and business analysis. Python is a popular programming language used for business analysis, and this course provides a foundation in Python that would be useful for a Business Analyst.
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data to help organizations make better decisions. This course may help prepare someone for a career as a Statistician because it introduces the basics of programming and statistics. Python is a popular programming language used for statistics, and this course provides a foundation in Python that would be useful for a Statistician.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software systems. This course may help prepare someone for a career as a Software Engineer because it is an introductory course to the Python programming language. Python is a popular programming language used in many different software systems. Thus, this course may help a student build a foundation in Python that would be useful for a career as a Software Engineer.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to help organizations make better decisions. This course may help prepare someone for a career as a Data Analyst because it introduces the basics of programming and data analysis. Python is a popular programming language used for data analysis, and this course provides a foundation in Python that would be useful for a Data Analyst.
Web Developer
Web Developers are responsible for designing, developing, and maintaining websites. This course may help prepare someone for a career as a Web Developer because it introduces the basics of programming and web development. Python is a popular programming language used for web development, and this course provides a foundation in Python that would be useful for a Web Developer.
Financial Analyst
Financial Analysts are responsible for analyzing financial data to help organizations make better decisions. This course may help prepare someone for a career as a Financial Analyst because it introduces the basics of programming and financial analysis. Python is a popular programming language used for financial analysis, and this course provides a foundation in Python that would be useful for a Financial Analyst.
Product Manager
Product Managers are responsible for planning, developing, and launching new products. This course may help prepare someone for a career as a Product Manager because it introduces the basics of programming and product management. Python is a popular programming language used for product management, and this course provides a foundation in Python that would be useful for a Product Manager.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. This course may help prepare someone for a career as a Data Engineer because it introduces the basics of programming and data engineering. Python is a popular programming language used for data engineering, and this course provides a foundation in Python that would be useful for a Data Engineer.
Computer Scientist
Computer Scientists are responsible for studying the theory and practice of computation. This course may help prepare someone for a career as a Computer Scientist because it introduces the basics of programming and computer science. Python is a popular programming language used for computer science, and this course provides a foundation in Python that would be useful for a Computer Scientist.
Technical Writer
Technical Writers are responsible for creating clear and concise documentation for software and other technical products. This course may help prepare someone for a career as a Technical Writer because it introduces the basics of programming and technical writing. Python is a popular programming language used for software development, and this course provides a foundation in Python that would be useful for a Technical Writer.
User Experience Designer
User Experience Designers are responsible for designing and evaluating the user experience of software and other products. This course may help prepare someone for a career as a User Experience Designer because it introduces the basics of programming and user experience design. Python is a popular programming language used for user experience design, and this course provides a foundation in Python that would be useful for a User Experience Designer.
Sales Engineer
Sales Engineers are responsible for selling software and other technical products. This course may help prepare someone for a career as a Sales Engineer because it introduces the basics of programming and sales engineering. Python is a popular programming language used for software development, and this course provides a foundation in Python that would be useful for a Sales Engineer.
Technical Support Specialist
Technical Support Specialists are responsible for providing support to users of software and other technical products. This course may help prepare someone for a career as a Technical Support Specialist because it introduces the basics of programming and technical support. Python is a popular programming language used for software development, and this course provides a foundation in Python that would be useful for a Technical Support Specialist.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Learn Python with no prior programming experience.
Comprehensive guide to using Python for data analysis. It is perfect for beginners who want to learn how to use Python to analyze data.
Deep dive into the Python programming language. It is perfect for experienced Python programmers who want to learn more about the language.
Comprehensive guide to the Python programming language. It is perfect for beginners who want to learn all about Python, from the basics to the advanced features.
Practical guide to using Python to automate tasks. It is perfect for beginners who want to learn how to use Python for real-world problems.
Guide to developing web applications using the Django framework. It is perfect for experienced Python programmers who want to learn how to build web applications.
Collection of recipes for solving common Python programming problems. It is perfect for experienced Python programmers who want to learn how to solve specific problems.
Reference guide to the Python programming language. It is perfect for experienced Python programmers who want to have a quick reference to the language.
Reference guide to the Python standard library. It is perfect for experienced Python programmers who want to learn more about the standard library.
Comprehensive introduction to computer science using Python. It is perfect for beginners who want to learn about computer science and Python at the same time.
Free online book that teaches the basics of Python. It is perfect for beginners who want to learn Python at their own pace.

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