“Python for Data Science and Data Analysis Masterclass: 2023” course is designed for data scientists who want to master Python programming and gain a solid understanding of data science and data analysis. This course will provide a comprehensive introduction to Python, starting from the basics and progressing to more advanced topics. The course covers a wide range of subjects, including Python Crash Course: Data Types, Python Statements, Functions, and Object-oriented programming (OOP) Using NumPy to analyze data: NumPy arrays, indexing, and selection Working with missing data, DataFrames, Series, Matrix, Reading and Writing files, and Data Analysis using Pandas Matplotlib, a powerful Python visualization library for 2D displays of arrays By the end of this course, you will have a strong foundation in Python programming and data science, which will help you to develop your career and broaden your knowledge in a fun and useful way. The course is taught by Vijay Gadhafi, an experienced data scientist, and Python developer. Currently, the system is available on Udemy at a discounted price of INR 449 which is a savings of 87% off the original price of INR 3,500. Enroll now to gain a comprehensive understanding of Python programming and data science and take the next step in your career. Currently, udemy is offering the Python for Data Science and Data Analysis Masterclass: 2023 course for up to 87 % off i.e. INR 449 (INR 3,500).
Who can Opt for this Course?
- Beginners with no prior experience with Python programming
- Analytics and machine learning for those who desire to learn Python initially
Course Highlights
| Key Highlights | Details |
|---|---|
| Registration Link | Apply Now! |
| Price | INR 449 ( |
| Duration | 06 Hours |
| Rating | 3.9/5 |
| Student Enrollment | 36,416 students |
| Instructor | Vijay Gadhave https://www.linkedin.com/in/vijaygadhave |
| Topics Covered | N.A |
| Course Level | N.A |
| Total Student Reviews | 611 |
Learning Outcomes
- Python for data analysis and data science
- From scratch, a complete understanding of Python For Numerical Data, use NumPy
- NumPy Operations and NumPy Array
- Analyzing Data with Pandas
- Pandas Series, Pandas Matrix, and DataFrames
- Working on reading and writing files and missing data
- For data visualisation, use Matplotlib
- Seaborn for displaying statistical data
- Plotly for Web-based, collaborative graphing and analytics
- Pandas data visualisation
Course Content
| S.No. | Module (Duration) | Topics |
|---|---|---|
| 1. | Welcome to the Course! (08 minutes) | Introduction |
| Updates on Udemy Reviews | ||
| Course FAQ’s | ||
| Introduction to Google Colab | ||
| Links to Python Notebooks | ||
| 2. | Python Crash Course Part 1: Data Types (01 hour 09 minutes) | Data Types Introduction |
| Numbers | ||
| Strings Part 1 – Basics | ||
| Strings Part 2 – Indexing and Slicing | ||
| Strings Part 3 – Properties and Methods | ||
| Strings Part 4 – String Formatting | ||
| Lists | ||
| Dictionaries | ||
| Tuples | ||
| Sets | ||
| Booleans | ||
| 3. | Python Crash Course Part 2: Python Statements (54 minutes) | If, Elif and Else |
| For loop | ||
| While Loop | ||
| Useful functions in Python | ||
| 4. | Python Crash Course Part 3: Functions (45 minutes) | Functions Part 1 |
| Functions Part 2 | ||
| *args and **kwargs | ||
| Map, Filter and Lambda Expression | ||
| 5. | Python Crash Course Part 4: Object-Oriented Programming (OOP) (31 minutes) | Introduction of Object Oriented Programming |
| Class and Attributes | ||
| Methods | ||
| Inheritance | ||
| 6. | Data Analysis with Numpy (40 minutes) | Introduction to NumPy |
| Numpy Arrays Part 1 | ||
| Numpy Arrays Part 2 | ||
| Numpy Arrays Part 3 | ||
| Numpy Indexing and Selection Part 1 | ||
| Numpy Indexing and Selection Part 2 | ||
| Numpy Operations | ||
| 7. | Data Analysis with pandas (01 hour 34 minutes) | Pandas Introduction |
| Pandas Series | ||
| DataFrames Part 1 | ||
| DataFrames Part 2 | ||
| DataFrames Part 3 | ||
| Missing Data | ||
| Groupby Method | ||
| Merging, Joining and Concatenating DataFrames | ||
| Pandas Operations | ||
| Reading and Writing Files in Pandas | ||
| 8. | Data Visualization with matplotlib (57 minutes) | Matplotlib Part 1 – Functional Method |
| Matplotlib Part 1 – Object Oriented Method | ||
| Matplotlib Part 2 – Subplots Method | ||
| Matplotlib Part 2 – Figure size, Aspect ratio and DPI | ||
| Matplotlib Part 3 | ||
| Matplotlib Part 4 |
Resources Required
- Only a desire to learn is required; no prior knowledge or experience is required
Featured Review
Nwaoduh Ezinna (5/5) : The building blocks in python were well explained which is great. I am enjoying the course 🙂
Pros
- Jamuna (5/5) : excellent teaching, explain everything very clearly from basics, the teacher is very good at making sure each concept is understood by student, i am glad i found this course
- Damian Nowak (5/5) : This course is so amazing, I can learn a lot of Python in it.
- Arvind Kumar M (4/5) : It was a really good course, the instructor explained it very calmly and in a good way.
- Ilir Sheraj (5/5) : The course is really nice for a quick recap! The instructor uses hands-on examples.
Cons
- Sayali J. (2/5) : instead of masterclass I found it very basic. And it will more helpful if you teach internal memory and space optimization and how it differ from other languages. For beginners it is very good course though
- Bikram G. (2/5) : Totally time waste…very poor quality and uninteractive lectures
- Hannah S. (2/5) : Not very easy to follow.
About the Author
The instructor of this course is Vijay Gadhave who is a Data Scientist and Software Developer. With 4.5 Instructor Rating and 1,832 Reviews on Udemy, he/she offers 9 Courses and has taught 60,050 Students so far.
- Vijay Gadhave,has worked in the IT industry for more than ten years
- Vijay Gadhave has a strong interest in both machine learning and cloud computing
- Vijay Gadhave imparts knowledge in the fields of Python, Data Science, Cloud Computing, and Machine Learning
- Vijay Gadhave sincerely hopes you will benefit from taking my course and advance in your job
Comparison Table
| Parameters | Python for Data Science and Data Analysis Masterclass: 2023 | The Art of Doing: Code 40 Challenging Python Programs Today! | Learn To Create AI Assistant (JARVIS) With Python |
|---|---|---|---|
| Offers | INR 455 ( | INR 455 ( | INR 455 ( |
| Duration | 6.5 hours | 28.5 hours | 2.5 hours |
| Rating | 3.9 /5 | 4.8 /5 | 4.5 /5 |
| Student Enrollments | 36,416 | 74,889 | 48,957 |
| Instructors | Vijay Gadhave | Michael Eramo | Arbaz Khan |
| Register Here | Apply Now! | Apply Now! | Apply Now! |
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