Python Programming Masterclass: Gain Hands-On Experience
Python Programming Masterclass: Gain Hands-On Experience
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.09 GB | Duration: 12h 28m
Get Started with the Most Sought-After Skills in Data Science, Data Analytics, and Finance.
What you'll learn
You'll be proficient in Python programming and ready to start writing your own algorithms.
You'll understand popular libraries such as pandas, numpy, matplotlib, and a lot more.
You'll practice and reinforce python programming skills through exercises and projects.
You'll be able to apply python programming skills in real-world scenarios.
Requirements
A computer - Windows 7/8/10 or above, Mac, and Linux are all supported. Setup and installation instructions are included.
Your enthusiasm to learn this go-to programming language.
Everything else needed to start programming in Python is already included.
No programming experience needed. You will learn everything you need to know.
Description
Get Started with the Most Sought-After Skills in Data Science, Data Analytics, and Finance.Our program is the perfect starting point for anyone looking to break into the exciting field of data science and data analytics. Whether you're a complete beginner or have some programming experience, our course will give you the skills and knowledge you need to succeed.With a focus on hands-on learning, you'll get the opportunity to practice your skills and apply what you've learned in real-world scenarios. Our experienced instructors will guide you through the process, teaching you everything you need to know about Python programming and the use of popular libraries like pandas, numpy, and matplotlib.In addition to the core curriculum, you'll also have access to a range of bonus materials, including exercises and quizzes, to help you practice and reinforce your skills. You'll also be part of a community of fellow students who are also learning Python, so you can collaborate and learn together.By the end of the program, you'll be proficient in Python programming and ready to start writing your own algorithms. Don't miss out on this opportunity to take your skills to the next level and start your journey in the world of data science, data analytics, and finance.➤ candidate must have a Windows OS 7/8/10 or above, Mac OS, or Linux before enrolling in this program. ➤ setup and installation instructions are included.➤ hands-on experience on real-world projects.➤ question & answer support incl. python model assistance.➤ downloadable access to python-based models.➤ get a certificate on completion.Inclusion: Ace Your Python Programming Interview: A Comprehensive GuideAre you looking to ace your Python programming interview and take your skills to the next level? "Ace Your Python Programming Interview: A Comprehensive Guide" covers all the key concepts and topics you need to know to succeed in a Python programming interview, including data types, operators, loops, functions, object-oriented programming, modules, and exception handling. With clear explanations, numerous examples, and hands-on exercises, this guide will help you prepare for real-world programming challenges and solve problems efficiently.Don't let your next Python programming interview catch you off guard - get Ace Your Python Programming Interview today and give yourself the best chance at success.Our program is a perfect foundation stone to start a career in python programming by giving you the hands-on training and practical experience you need to succeed. You'll learn the ins and outs of python programming and become proficient in using libraries like pandas, numpy, and matplotlib. With our comprehensive modules, you'll have the tools and confidence you need to excel in python.We're focused on delivering practical skills to data science, data analytics, and finance professionals with an in-depth understanding & implementation using python. We never stop adding more content to it.
Overview
Section 1: Installation Guide
Lecture 1 Working in Jupyter Notebook
Section 2: Introduction to Python Programming
Lecture 2 Introduction to Python DataTypes | Functions
Lecture 3 Basic Fundamentals of Python – Variables
Section 3: Python Operations
Lecture 4 Perform Operations in Python
Section 4: Applications of Python DataTypes
Lecture 5 Applications of Python List
Lecture 6 Extensions of Python List
Lecture 7 Revision: Extensions of Python List
Lecture 8 Applications of Python Tuple
Lecture 9 Applications of Python Set
Lecture 10 Applications of Python Dictionary
Section 5: Dynamic Statements in Python
Lecture 11 Dynamic Statements in Python – Part 1
Lecture 12 Dynamic Statements in Python – Part 2
Lecture 13 Exception Handling in Python
Section 6: Object-Oriented Programming[Next-Level]
Lecture 14 Python Functions & Methods
Lecture 15 Object-Oriented Programming[OOP] – Part 1
Section 7: Developing a Bank Account System[Project]
Lecture 16 Developing a Bank Account System – Part 1
Section 8: Data Analytics Using Pandas
Lecture 17 Pandas Data Series – Part 1
Lecture 18 Pandas DataFrames – Part 1
Section 9: Python for Finance
Lecture 19 Building Block 1.0 - Python for Finance
Lecture 20 Introduction to Call Option Derivative
Lecture 21 Introduction to Put Option Derivative
Lecture 22 Building Block 2.0 - Python for Finance
Beginners and Intermediaries to Data Science, Data Analytics, and Finance.,Intermediaries who want to improve their career options in Data Science, Data Analytics, and Finance by learning Python.,Beginner Python Developers curious about Data Science and Finance.
HOMEPAGE
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