A Non-Programmer'S Guide To Python For Analytics
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English
| Size: 6.71 GB
| Duration: 10h 18m
Unlocking Insights with Python: A Step-by-Step Guide for Non-Programmers
What you'll learn
Students will master the fundamentals of Python programming language, covering topics such as syntax, variables, data types, and control structures.
Learners will understand essential data structures in Python, including lists, tuples, dictionaries, and sets, and learn how to manipulate and iterate over them
Participants will explore how to define and use functions to modularize code and increase reusability, as well as how to import and work with modules in Python.
Students will learn how to read from and write to files in Python, enabling them to interact with external data sources and store program output.
Learners will grasp the concept of exception handling in Python and learn how to use try-except blocks to handle errors gracefully & maintain program stability.
A project through which students will apply their Python programming skills to solve real-world problems and reinforce their learning.
Requirements
As it is a beginners course there are no prerequisites.
Description
Demystifying Data: Unlocking Insights with Python" is a comprehensive course designed for non-programmers eager to harness the power of Python for data analytics. In today's data-driven world, understanding how to manipulate and derive insights from data is essential for success across various fields. This course serves as an accessible entry point, breaking down complex programming concepts into manageable steps.Participants will embark on a journey through Python, starting from the basics and gradually advancing to more sophisticated techniques. With a focus on practical application, learners will explore how to collect, clean and analyze data using Python programming concepts taught in the course.Guided by experienced instructor, students will gain hands-on experience through interactive exercises and real-world examples, solidifying their understanding of key concepts without requiring prior programming experience.By the end of the course, participants will have developed a foundational understanding of Python programming for data analytics, empowering them to confidently tackle data-related challenges and make informed decisions in their respective domains. Join us on this journey and unlock the potential of data with Python!Unlocking Insights with Python" is a comprehensive, time-efficient course designed for non-programmers, offering a streamlined path to mastering Python for data analytics.Enroll today to make the right start to the field of Data Analytics and Machine Learning.Happy Learning!!!
Overview
Section 1: Introduction to Python Programming
Lecture 1 1. Motivation for learning Python
Lecture 2 2. Python Introduction
Lecture 3 3. Intro_Anaconda_JupyterNB
Lecture 4 4. Anaconda Installation
Lecture 5 5. Intro to Jupyter Notebook interface
Section 2: Introduction
Lecture 6 1 Syntax_in_Programming
Lecture 7 2 Newline Character
Lecture 8 3 Elements_Keywords_Identifiers
Lecture 9 4.Comments_Statement
Lecture 10 5 Variable Assignment
Lecture 11 6 Data Type I in Python Programming
Lecture 12 7. Data Type II
Lecture 13 8 Type Conversion of Data Type
Lecture 14 9 Output Formatting and Input Function
Lecture 15 10 Operators in Python Programming
Lecture 16 11 IF Statements
Lecture 17 12 While loop Statements
Lecture 18 13 For loop Statement
Lecture 19 14 Break and Continue Statement
Lecture 20 15 Lists-I
Lecture 21 16 Lists-II
Lecture 22 17 Tuples
Lecture 23 18 Strings
Lecture 24 19 Sets
Lecture 25 20 Dictionary
Lecture 26 21 Functions
Lecture 27 22 Function Arguments and parameters
Lecture 28 23 Built-in Functions
Lecture 29 24 Recursive Function
Lecture 30 25 Lambda Function
Lecture 31 26 Modules,Package,libraries
Lecture 32 27 File IO Operation
Lecture 33 28 Working with Python directory and files
Lecture 34 29 Exception handling with python
Lecture 35 30 Comprehension in Python
Lecture 36 Project 1- Twitter Data Analysis
Lecture 37 Project 2- Twitter Data Analysis
Lecture 38 Project 3- Twitter Data Analysis
Lecture 39 Project 4- Twitter Data Analysis
Lecture 40 Project 5- Twitter Data Analysis
Non-Programmers: This course is tailored specifically for individuals with little to no programming experience who are eager to delve into data analytics.,Professionals in Various Fields: Intended for professionals from diverse backgrounds such as business, healthcare, finance, marketing, and more.,Researchers and Academics: Ideal for researchers and academics looking to enhance their data analysis skills.,Students and Graduates: Suitable for students and recent graduates interested in gaining a competitive edge in the job market.,Lifelong Learners: Perfect for individuals with a passion for continuous learning and a desire to stay relevant in today's data-driven world.
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