Python Mastery Course
JOB ORIENDTED COURSE
The "Python Mastery Course" is designed for beginners and intermediates through pre-recorded lessions, covering key topics like Python syntax, data types, control statements, loops, functions, libraries (math, random, requests), OOP (classes, inheritance), file handling, exception handling, and advanced concepts (decorators, generators). It includes hands-on projects, real-world applications, and industry immersion, helping learners gain practical Python programming skills through assignments and collaborative development.
Key Highlights
5+ Hours of Pre-recorded Sessions
Upto 1 Year Internship Opportunity
On Demand Career Mentorship
Doubt Resolution vis Email Support
On Demand Mock Interview Practice
Pre-recorded Industry Expert Session
Lifetime Dashboard Access
40+ Hands-on Industry Projects
Access to a Data Analytics Community
Blog Writing Platform
Interview Preparation Sessions
Understanding Python Basics
ABOUT Python Mastery Course COURSE OVERVIEW
The "Python Mastery Course" is a comprehensive online program designed for beginners and intermediates aiming to become proficient in Python for programming, data analysis, and automation. It provides a solid foundation in Python, progressing from basic concepts to advanced techniques essential for professional development.
Key topics include Python syntax, data structures, object-oriented programming, file handling, and error handling. Additionally, the course explores advanced topics such as web scraping, API integration, and automation. Students will gain hands-on experience through real-world projects, building skills in problem-solving and efficient coding.
The course also delves into data-focused Python libraries like Pandas, NumPy, Matplotlib, and Seaborn, equipping learners with the tools to perform data manipulation, analysis, and visualization. Advanced modules cover machine learning with Scikit-learn, natural language processing, and deep learning frameworks like TensorFlow and Keras, preparing students for roles in data science and AI.
With lifetime access to course materials, students can revisit lessons and projects to reinforce their learning. The program also offers membership in a vibrant Python programming community, providing networking and support opportunities. By the course's end, learners will confidently apply Python to real-world scenarios and advance their careers with robust programming expertise.
"A Python expert can perform a wide range of tasks, depending on their specific role and expertise:
Software Development:
Web Development: Building dynamic web applications using frameworks like Django or Flask.
Data Science and Machine Learning: Analyzing large datasets, building predictive models, and developing machine learning algorithms.
Data Analysis and Visualization:
Data Cleaning and Preparation: Cleaning and preprocessing data for analysis.
Data Analysis: Using libraries like Pandas and NumPy to analyze and explore data.
Data Visualization: Creating visualizations using libraries like Matplotlib, Seaborn, and Plotly."
"The scope of a Python expert is vast and continues to grow. Python's versatility and readability make it a popular choice for a wide range of applications.
Data Science and Machine Learning:
Web Development:
Automation and DevOps
Scientific Computing and Data Analysis
Game Development & Other Applications:"
Types (Arithmetic, Comparison, Logical Operators) Control Statements: If, Else, Elif for Conditional Execution Looping in Python: For Loops and While Loops for Iteration Python Data Structures: Lists, Tuples, Sets, and Dictionaries Functions in Python: Defining and Calling Functions, Arguments, and Return Values Using Python Libraries: Standard Libraries (math, random, datetime) and third-party libraries (requests, etc.) Object-Oriented Programming (OOP) in Python: Classes, Objects, Inheritance, and Polymorphism File Handling in Python: Reading from and Writing to Files (Text, CSV, JSON) Exception Handling: Try, Except, Finally, Raising Errors Introduction to Advanced Python Concepts: Decorators, Generators, and Context Managers Industry Immersion and Real-World Applications of Python (Project-Based Learning, Collaborative Development) Assignments & Projects
Vijay Narayan Singh
FounderWith 11+ years of comprehensive and in-depth experience as a Data Scientist, Data Analyst, and Business Analyst demonstrating a distinctive combination of technical breadth, business acumen, critical analysis, and decision-making. Worked on multiple products and categories. Having experience of 7+ years in educating people and helping them to make a career transition.
Aman Chauhan
Data Scientist At skilledUpData Science Expert with over 2 years of teaching experience, specializing in Data Science, Data Analytics, and Business Analytics. Proficient in MySQL, Data Visualization, Big Data, Python, Statistics, Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), and Artificial Intelligence (AI), among other advanced areas.
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Rahul Kumar
Data Analyst At GenpactWith 8+ years of extensive experience as a Data Scientist, Data Analyst, and Business Analyst, I bring a unique blend of technical expertise, business insight, critical analysis, and decision-making. I have worked across various products and categories and have 4+ years of experience educating and guiding individuals through successful career transitions.
This Course Fee:
Rs. 600.00
Rs. 600.003,000.00
Course includes:
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Students Enrolled
10000+
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Duration
1 Year
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Language
Hinglish
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Course Type
Pre-Recorded
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Internship
1 Year
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Certifications
Yes
Secure Payment:
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the At Learning.
Enquiry
Meet the Python Mastery Course Training Mentors
With 11+ years of comprehensive and in-depth experience as a Data Scientist, Data Analyst, and Business Analyst demonstrating a distinctive combination of technical breadth, business acumen, critical analysis, and decision-making. Worked on multiple products and categories. Having experience of 7+ years in educating people and helping them to make a career transition.
Data Science Expert with over 2 years of teaching experience, specializing in Data Science, Data Analytics, and Business Analytics. Proficient in MySQL, Data Visualization, Big Data, Python, Statistics, Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), and Artificial Intelligence (AI), among other advanced areas.
With 8+ years of extensive experience as a Data Scientist, Data Analyst, and Business Analyst, I bring a unique blend of technical expertise, business insight, critical analysis, and decision-making. I have worked across various products and categories and have 4+ years of experience educating and guiding individuals through successful career transitions.
What role does a Python Mastery Course play ?
Data Analysis and Visualization
Python experts use libraries like Pandas, NumPy, and Matplotlib to clean, analyze, and visualize large datasets.
Machine Learning and AI
They develop and deploy machine learning models using frameworks like TensorFlow and PyTorch, enabling tasks like predictive modeling, image recognition, and natural language processing.
Backend Development:
Python experts build robust and scalable web applications using frameworks like Django and Flask.
13+ Skills Covered under this Course
- Introduction to Python and Its Applications in Data Science
- Setting Up Python Development Environment
- Working with Data Types
- Performing Operations on Different Data Types
- Control Statements
- Looping in Python
4+ Tools Covered
Course Curriculum
Python Mastery Course Project
Python Mastery Course Certification Course Reviews
Our Alumni: Leaders, Innovators, and Achievers
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