Course Includes
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Recorded Lessons: 43
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Recorded Hours: 4
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Duration:
4 days (Avg)
Course Features
Access on mobile
TDP Assessment Test
Top Skills Covered
Overview
Course Description
Are you ready to embark on an exciting journey into the world of Python programming? This comprehensive course is designed to take you from a Python novice to a proficient programmer, equipping you with the skills to tackle real-world projects, automate tasks, perform data analysis, and excel in coding interviews.
In this course, you'll explore the following key topics through practical hands-on exercises and real-world examples:
- Discover real-world use cases of Python and understand its versatility in various domains.
- Learn how to install Python on both Mac and Windows operating systems to kickstart your programming journey.
- Grasp the fundamentals of Python programming, starting with variables and their scope.
- Dive into data types and type casting to effectively manage different kinds of data.
- Gain insight into essential Python operators to perform various operations with ease.
- Explore essential data structures like lists, tuples, sets, and dictionaries for efficient data manipulation.
- Learn about stacks and queues and their applications in solving real-world problems.
- Understand the space and time complexity of algorithms and their impact on code performance.
- Study sorting and searching algorithms to efficiently organize and retrieve data.
- Master the concept of parameters and arguments to write flexible and reusable functions.
- Uncover the power of Python modules and their significance in building modular applications.
- Utilize filter, map, and zip functions for streamlined data processing.
- Harness the flexibility of lambda functions to write concise and efficient code.
- Master list, set, and dictionary comprehensions for elegant data manipulation.
- Perform data analysis using analytical and aggregate functions to gain valuable insights.
- Handle strings and discover important string functions for text manipulation.
- Learn string formatting and user input techniques for interactive programming.
- Gain proficiency in working with meta characters and implementing regular expressions.
- Unlock the potential of built-in functions for regular expressions, and handle special characters and sets.
- Implement conditional statements for decision-making in your code.
- Iterate over elements using for loops and while loops to process data efficiently.
- Control loop flow with break and continue statements for better program control.
- Combine conditional statements and loops effectively to tackle complex problems.
- Grasp the fundamentals of object-oriented programming (OOPs) and its role in building robust applications.
- Understand inheritance, encapsulation, and polymorphism, and leverage them to write efficient code.
- Explore the Date and Time class for working with dates and times effectively.
- Utilize the TimeDelta class for precise time manipulation in your Python programs.
- Delve into the world of data-driven insights and discover how statistics plays a pivotal role in shaping our understanding of information.
- Equip yourself with the essential Python skills required for effective data manipulation and visualization.
- Learn to categorize data, setting the stage for meaningful analysis.
- Discover how to summarize data with measures like mean, median, and mode.
- Explore the variability in data using concepts like range, variance, and standard deviation.
- Understand relationships between variables with correlation and covariance.
- Grasp the shape and distribution of data using techniques like quartiles and percentiles.
- Learn to standardize data and calculate z-scores.
- Dive into probability theory and its practical applications.
- Lay the foundation for probability calculations with set theory.
- Explore the probability of events under certain conditions.
- Uncover the power of Bayesian probability in real-world scenarios.
- Solve complex counting problems with ease.
- Understand the concept of random variables and their role in probability.
- Explore various probability distributions and their applications.
Join us on this enriching journey, and let's unlock the power of Python together! Whether you're an absolute beginner or looking to expand your programming skills, this course provides you with a solid foundation and practical expertise to succeed in your Python endeavors. Enroll now and start your Python programming adventure!
What you'll learn
- Real-world use cases of Python and its versatility.
- Installation of Python on both Mac and Windows operating systems.
- Fundamentals of programming with Python, including variables and data types.
- Working with various operators in Python to perform operations.
- Handling data using essential data structures like lists, tuples, sets, and dictionaries.
- Utilizing functions and working with parameters and arguments.
- Employing filter, map, and zip functions for data processing.
- Exploring analytical and aggregate functions for data analysis.
- Using built-in functions for regular expressions and handling special characters and sets.
- Iterating over elements using for loops and while loops.
- Understanding the object-oriented programming (OOP) concepts and principles.
- Working with date and time classes, including TimeDelta for time manipulation.
Requirements
- StudenBasic knowledge of Python is a plus but not mandatory, as introductory Python concepts will be covered in the course.ts should have a general understanding of how to operate a computer.
- Be comfortable with common tasks like file management and using a web browser.
- No Prior Programming Experience Required.
- Students should have Python installed on their computers.
- A positive attitude and a willingness to learn and explore new concepts are essential for getting the most out of this course.
- A basic understanding of mathematics, including algebra and arithmetic.
- Familiarity with fundamental concepts in data analysis and problem-solving.
Course Content
36 Lessons | 1 Downloadable material | 2 Quiz | 4:00 Total hours
Python Basics
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Resources - Python using Data Analysis & Data Science -
Real world use cases of Python -
Installation of Anaconda for Windows and macOS 00:04:48
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Introduction to Variables 00:05:59
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Introduction to Data Types and Type Casting 00:06:27
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Scope of Variables 00:08:18
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Introduction to Operators 00:19:03
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Quiz on Basics of Python
Introduction to Data Structures
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Introduction to Lists and Tuples 00:14:08
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Introduction to Sets and Dictionaries
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Introduction to Stacks and Queues 00:12:12
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Introduction to Space and Time Complexity 00:13:27
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Introduction to Sorting Algorithms 00:08:36
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Introduction to Searching Algorithms 00:08:47
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Quiz on Data Structures
Introduction to Functions in Python
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Introduction to Parameters and Arguments 00:15:18
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Introduction to Python Modules 00:05:39
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Introduction to Filter, Map, and Zip Functions 00:13:44
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Introduction to List, Set and Dictionary Comprehensions 00:10:23
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Introduction to Lambda Functions 00:07:03
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Introduction to Analytical and Aggregate Functions
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Quiz on Functions in Python
Strings and Regular Expressions
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Introduction to Strings 00:05:44
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Introduction to Important String Functions
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Introduction to String Formatting and User Input 00:08:30
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Introduction to Meta Characters 00:22:30
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Introduction to Built-in Functions for Regular Expressions 00:07:44
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Special Characters and Sets for Regular Expressions 00:07:30
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Quiz on Strings and Regular Expressions
Loops and Conditionals
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Introduction to Conditional Statements
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Introduction to For Loops 00:04:18
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Introduction to While Loops
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Introduction to Break and Continue 00:03:09
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Using Conditional Statements in Loops 00:05:51
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Nested Loops and Conditional Statements 00:07:10
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Quiz on Loops and Conditionals
OOPs and Date-Time
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Introduction to OOPs Concept
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Introduction to Inheritance
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Introduction to Encapsulation
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Introduction to Polymorphism 00:05:23
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Introduction to Date and Time Class 00:07:53
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Introduction to TimeDelta Class
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Quiz on OOPs and Date-Time
Frequently asked questions
Who is this Develop in-demand skills for data analysis and data science careers. Learn how to use Python, a powerful and versatile programming language for data work.ourse for?
Beginners with little to no programming experience who want to learn Python for data analysis and data science.
What are the benefits of taking this course?
Develop in-demand skills for data analysis and data science careers. Learn how to use Python, a powerful and versatile programming language for data work.
What topics will be covered in the course?
he course will cover a range of topics including Python basics, data manipulation with Pandas, data visualization using Matplotlib and Seaborn, statistical analysis, and an introduction to machine learning with Scikit-learn.
Is this course suitable for beginners?
Yes, this course is designed for both beginners and those with some experience in Python or data analysis. We start with the basics and gradually progress to more advanced topics.
How will the course be delivered?
The course will be delivered online through a combination of video lectures, practical coding exercises to reinforce your learning.
Can I access the course materials after completing the course?
Yes, you will have lifetime access to the course materials, including video lectures, code examples, and supplementary resources.
About the instructor
Meritshot Zetta Edutech Private Limited
Institute
4 Courses
2+ Lesson
4 Students enrolled