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- Python Mastery
The Ultimate Python Mastery
Course (For Data Analysis)
- 55 Lessons
- 14 Hours
- By Satish Dhawale
Here's What You'll Learn
Our Python Mastery Course is designed to take you from a complete beginner to a confident Python programmer. With simple explanations, practical examples, and exciting projects, this course is perfect for anyone who wants to learn Python step by step and build real-world skills.
Build Strong Foundations
Start with the basics of Python, including installation, variables, and your first program. Understand core concepts like data types, operators, and type casting step by step.
Explore Data Structures
Discover Python’s powerful data structures like Lists, Tuples, Sets, and Dictionaries. Learn their methods to organize and manage data efficiently.
Data Science Basics
Learn data manipulation and visualization with Numpy, Pandas, and Matplotlib. Understand file handling, CSV files, and exception handling for professional use.
Master Control Flow and Logic
Learn to use if-else statements, nested conditions, and loops to create logical programs. Practice with fun examples like a Palindrome Checker and a Grade System.
Create Exciting Projects
Work on real-world projects like a YouTube Video Downloader, QR Code Generator, and Barcode Generator. Apply your Python skills in practical scenarios.
Unlock the Power of Functions
Master Python functions, including parameters, return statements, and lambda functions. Build advanced features using ***args & kwargs with practical examples.
Detailed Course Curriculum
| 1.1 – Introduction of Python | 13:21 (Min.) |
| 1.2 – Download & Install Python + IDE | 11:32 (Min.) |
| 1.3 – Write your first code | 29:18 (Min.) |
| 1.4 – Python Work Flow | 10:27 (Min.) |
| 1.5 – What are Variables in Python | 20:10 (Min.) |
| 1.6 – Data types in Python | 34:45 (Min.) |
| 1.7 – Assignment on String | 19:27 (Min.) |
| 2.1 – All about Operators in Python | 22:48 (Min.) |
| 2.2 – Assignment on Operators | 02:23 (Min.) |
| 2.3 – Type Casting in Python | 22:33 (Min.) |
| 2.4 – Input function – Calculator Program | 12:33 (Min.) |
| 2.5 – Assignment on Input Function | 02:49 (Min.) |
| 2.6 – String Slicing and Methods | 32:27 (Min.) |
| 3.1 – IF and Else Condition | 16:21 (Min.) |
| 3.2 – Assignment on IF Else | 02:56 (Min.) |
| 3.3 – Nested IF Condition | 20:50 (Min.) |
| 3.4 – Assignment on Nested IF | 04:23 (Min.) |
| 4.1 – Looping in Python – For Loop | 31:30 (Min.) |
| 4.2 – Assignment on For Loop | 02:10 (Min.) |
| 4.3 – While Loop in Python | 23:07 (Min.) |
| 4.4 – Nested Loop in Python | 23:55 (Min.) |
| 4.5 – Assignment on Nesting Loop | 01:46 (Min.) |
| 4.6 – Advanced Assignment on For Loop | 07:03 (Min.) |
| 5.1 – Introduction of Functions | 27:01 (Min.) |
| 5.2 – Functions with Return | 14:21 (Min.) |
| 5.3 – Calculator using Function | 21:47 (Min.) |
| 5.4 – Function Arguments | 34:49 (Min.) |
| 6.1 – All about List | 25:24 (Min.) |
| 6.2 – Updating, Adding & Removing Items | 15:05 (Min.) |
| 6.3 – Most-Used List Methods | 15:55 (Min.) |
| 6.4 – Built-in Functions work on List | 13:03 (Min.) |
| 6.5 – List Iteration | 22:11 (Min.) |
| 6.6 – List Comprehension | 28:19 (Min.) |
| 7.1 – Introduction of Numpy | 06:05 (Min.) |
| 7.2 – Creating Array | 14:19 (Min.) |
| 7.3 – MultiDimensional Array | 08:04 (Min.) |
| 7.4 – Assignment on Array | 01:20 (Min.) |
| 7.5 – Different types of Array | 13:25 (Min.) |
| 7.6 – Random Array in Numpy | 06:18 (Min.) |
| 7.7 – Array Attributes | 09:02 (Min.) |
| 7.8 – Assignment | 01:28 (Min.) |
| 7.9 – Quick Revision | 05:43 (Min.) |
| 7.10 – Indexing, Slicing and more | 31:44 (Min.) |
| 7.11 – Data Cleaning with Numpy | 01:04 (Min.) |
| 7.12 – Assignment | 01:04 (Min.) |
| 8.1 – Python Pandas Introduction | 05:59 (Min.) |
| 8.2 – Python Series and DataFrame in Pandas | 10:30 (Min.) |
| 8.3 – Python Reading Data from CSV | 15:21 (Min.) |
| 8.4 – Python Work with Series | 19:18 (Min.) |
| 8.5 – Python Assignment | 01:40 (Min.) |
| 8.6 – Python Working on CSV File | 16:05 (Min.) |
| 8.7 – Python Accessing Data | 15:43 (Min.) |
| 8.8 – Python Sorting and Adding Columns | 14:41 (Min.) |
| 8.9 – Python Updating Records | 15:07 (Min.) |
| 8.10 – Python Grouping, Save and Export | 15:50 (Min.) |
Your Questions, Our Answers
Find answers to frequently asked questions about the course below. If you have any other questions, feel free to contact our support team at info@satishdhawale.com
This course is perfect for students, working professionals, business owners, and anyone who wants to learn Python. Whether you’re a beginner or have some experience, this course will help you master Python in hindi.
Yes, we have added many projects that can help you to practice in Python. Also, we create new projects over the time.
If you have the basic knowledge of coding, you can easily learn this course.
If you will learn or practice 2-3 hours on the daily basis. You can easily complete this course under 60-days.
Yes, you will receive an ISO Certificate after completing this course. You just need to pass an exam with a minimum score of 40% to get the certificate. You can also verify your certificate on our website.
No, you no need any paid software to learn or practice the Python Programming
We have a dedicated team to solve your questions. If you face any issues while learning the course, you can ask to our team from our Study Portal.
If you face any issues or need help, someone from our team will connect with you to provide a proper solution.
Yes, we have 7-days refund policy. If you are not satisfied with this course. We will refund your money. You read the refund policy here => skillcourse.in/refund-policy/
No, you can see the course price very affordable. So we have no EMI option. You can pay using your credit card and convert it into EMIs from your end.
You will get lifetime course access or updates.
Reviews from, Our Learners
Truly a great learning experience!
One of the best course… inshallah I will enroll 🙌🧡
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Highly recommended for those wanting to learn Canva.
Very helpful and easy to understand.
The course covers all basics and advanced techniques.
Loved the way everything is explained.
Canva pe design karna itna easy kabhi nahi laga!