“Python-Introduction to Data Science and Machine learning A-Z” is utilized for data research. To correctly use Python for data science and machine learning, there are many distinct tools that must be taught, and each of those tools is not necessarily simple to understand. However, this course will provide all the fundamentals you require regardless of the purpose for which you intend to use it. Students will gain an understanding of all the data science tools as well as how to use them to visualize projects while also developing their Python skills.
Students will, in fact, initially learn all the mathematics related to data science. As a result, students will receive a thorough introduction to the vast majority of significant statistical formulas and functions. Additionally, you’ll learn how to set up and utilize Pycharm and Jupyter to write Python code. You will then learn about the various Python libraries that are available and how to use them correctly. Currently, udemy is offering the Python-Introduction to Data Science and Machine learning A-Z course for up to 87 % off i.e. INR 449 (INR 3,399).
Who Can Opt for this Course?
- Novice python programmers who are interested in data science
Course Highlights
| Key Highlights | Details |
|---|---|
| Registration Link | Apply Now! |
| Price | INR 449 ( |
| Duration | 07 Hours |
| Rating | 4.3/5 |
| Student Enrollment | 249,774 students |
| Instructor | Yassin Marco https://www.linkedin.com/in/yassinmarco |
| Topics Covered |
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| Course Level | Beginner |
| Total Student Reviews | 2,764 |
Learning Outcomes
- Know the fundamentals of programming in Python
- Acquiring all the fundamental ideas in mathematics
- Recognize the fundamentals of data science and how to carry it out using Python
- Acquire knowledge of various Python data science tools
- Integrate fresh ideas into your Python code to make it better
- The fundamentals of machine learning
- Use Sklearn to do various analyses
- Finish the course with a thorough understanding of all the fundamental ideas in data science and all the tools needed to implement them in Python
Course Content
| S.No. | Module (Duration) | Topics |
|---|---|---|
| 1. | Introduction (49 minutes) | Introduction |
| What is Data Science | ||
| Installation of Anaconda and Jupyter | ||
| Introduction to Jupyter Part 1 | ||
| Introduction to Jupyter Part 2 | ||
| 2. | Basic Statstics knowledge (01 hour 20 minutes) | The Basics of Data |
| The basics of statistics part 1 | ||
| The basics of statistics part 2 | ||
| The basics of statistics part 3 | ||
| The basics of statistics part 4 | ||
| The basics of statistics part 5 | ||
| The basics of statistics part 6 | ||
| 3. | Python library: NumPy (51 minutes) | Introduction to Numpy |
| Setting up NumPy | ||
| Basic calculations Part 1 | ||
| Basic calculations Part 2 | ||
| Basic calculations Part 3 | ||
| Basic calculations Part 4 | ||
| Basic calculations Part 5 | ||
| 4. | Python library: Pandas (43 minutes) | The Basics of Pandas |
| Setting up Pandas | ||
| Pandas operations part 1 | ||
| Pandas operations part 2 | ||
| Pandas operations part 3 | ||
| Pandas operations part 4 | ||
| Pandas operations part 5 | ||
| 5. | Python library: Scipy (46 minutes) | The Basics of SciPy |
| SciPy operations part 1 | ||
| SciPy operations part 2 | ||
| SciPy operations part 3 | ||
| SciPy operations part 4 | ||
| SciPy operations part 5 | ||
| 6. | Python library : Matplotlib (49 minutes) | Introduction to Matplotlib |
| Setting up MatPlotlib | ||
| Basics of matplotlib part 1 | ||
| Basics of matplotlib part 2 | ||
| Basics of matplotlib part 3 | ||
| Basics of matplotlib part 4 | ||
| Basics of matplotlib part 5 | ||
| 7. | Python library: Seaborn (39 minutes) | Introduction to Seaborn |
| Setting up seaborn | ||
| Seaborn operations part 1 | ||
| Seaborn operations part 2 | ||
| Seaborn operations part 3 | ||
| Seaborn operations part 4 | ||
| 8. | Machine Learning (01 hour 17 minutes) | Introduction to machine learning |
| Presentation of Different algorithms | ||
| Machine learning algorithms part 1 | ||
| Machine learning algorithms part 2 | ||
| Machine learning algorithms part 3 | ||
| 9. | Conclusion (02 minutes) | Conclusion |
| Thank you |
Resources Required
- Strong drive to pick up new skills
- Python programming basics (can be helpful but not mandatory)
Featured Review
Christian Mboro Evina (5/5) : C’était excellent pour moi,aussi bien le contenu que la méthode de transmission de celui-ci
Pros
- JayPrakash Prasad (5/5): loved it as a beginner student for Data science and the way u let people understand it’s very great thank you for ur course
- Riya kumari (5/5): It was good to learn from Udemy ..it’s just the best and easy platform to learn our basic skills…
- Julian Schaider (4/5): It was a good course to get an overview but also some practical experience.
- Ram Kumar Tamang (5/5): it’s very good and the short video is another best part because it makes it interesting instead of bore
Cons
- Vivek Gourishetty (2/5): not telling about commands what they do but using in the code is very poor teaching
- Tanguturi Sandeep Kumar (1/5): the instructor does not have complete knowledge and didn’t teach the concepts clearly. He didn’t explain what the function is just writing and showing the answer worst course ever.no used at all
- Ben (1/5): If you’ve heard of death by power-point then brace yourself because this is worse.
- Petros Tavridis (1/5): Very disappointed and I am only in the intro! Having finished the course I stick to the “not rehearsed enough” comment.
About the Author
The instructor of this course is Yassin Marco who is Helped over 1 300 000+ students in 198 countries with a 4.2 instructor rating and 45,439 reviews on udemy, he/she offers 23 Courses and has taught 1,263,366 Students so far.
- Yassin holds numerous management and IT qualifications in addition to a BS in international management
- He regularly uses Microsoft programs and excels, and he also has expertise in marketing, the establishment and promotion of internet businesses, and many other areas
- Additionally, he is passionate about money and has assisted numerous individuals in beginning their careers in trading and investing, offering everything from fundamental financial counseling to sophisticated Stock/Forex data analysis
- He has a passion for mentoring and teaching and has aided over 1 million students across several online platforms.
- He has been able to communicate with students from over 198 different nations by teaching in both French and English
- Yassin is extremely dedicated to his work and is very approachable, so if you have any concerns regarding his current or upcoming courses, don’t be afraid to get in touch with him here on Udemy
Comparison Table
| Parameters | Python-Introduction to Data Science and Machine learning A-Z | Python And Flask Framework Complete Course For Beginners | Python And Django Framework For Beginners Complete Course |
|---|---|---|---|
| Offers | INR 455 ( | INR 455 ( | INR 455 ( |
| Duration | 7.5 hours | 12.5 hours | 13 hours |
| Rating | 4.3 /5 | 4.3 /5 | 4.1 /5 |
| Student Enrollments | 249,774 | 190,092 | 213,369 |
| Instructors | Yassin Marco | Horizon Tech | Horizon Tech |
| Register Here | Apply Now! | Apply Now! | Apply Now! |
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