Introduction to Python
This course is part of multiple programs.
- Taught in English
- 19 Languages Available
- Some content may not be translated
Instructor:
Suresh
Financial aid available
282,513 already enrolled
Course
Gain insight into a topic and learn the fundamentals
- 4.1
- (11,910 reviews)
- 91%
Expert level
Recommended experience
15 hours (approximately)
Flexible schedule
Learn at your own pace
What you'll learn
- You will master the Python programming language by building 100 unique projects over 100 days.
- You will be able to program in Python professionally
- Create a portfolio of 100 Python projects to apply for developer jobs
- Be able to use Python for data science and machine learning
- Build GUIs and Desktop applications with Python
- You will learn automation, game, app and web development, data science and machine learning all using Python.
- You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.
- Be able to build fully fledged websites and web apps with Python
- Build games like Blackjack, Pong and Snake using Python
Skills you'll gain
Artificial Intelligence, Data science, Machine Learning, Deep Learning, job
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 quizzes
See how employees at top companies are mastering
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Build your subject-matter expertise
Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
We’ll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.
The course includes over 65 hours of HD video tutorials and builds your programming knowledge while making real-world Python projects.
- How should we define AI?
- Related fields
- Philosophy of AI
- Search and problem solving
- Solving problems with AI
- Search and games
- Odds and probability
- The Bayes rule
- Naive Bayes classification
- The types of machine learning
- The nearest neighbor classifier
- Regression
- Neural network basics
- How neural networks are built
- Advanced neural network techniques
- About predicting the future
- The societal implications of AI
- Summary
Instructor Profile
- Instructor ratings
- 4.1 (3,466 ratings)
Instructor:
Suresh
40 Courses, 2,095,931 learners
Offered by
Recommended if you're interested in Python
Why people choose IEAPT for their career
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"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
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"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
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"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Learner reviews
- 4.7 11,910 reviews
Reviewed on Sep 12, 2023
I found this course very approachable and informative. My background is in psychology and I was able to follow along and complete the course. I now feel much more aware of the current state of AI.
