Programming Fundamental - Introduction to Data Science
Programming Fundamental - Introduction to Data Science
Published 11/2024
Created by Purwadhika Digital Technology
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 53 Lectures ( 19h 10m ) | Size: 7.12 GB
Master the essentials of data science and python programming to kickstart your data-driven career
What you'll learn
How to explain fundamental concepts in data science and identify its role in various industries
How to describe basic computer programming concepts and the Python language structure
How to declare and use variables in Python, understand common data types, and gather user input
How to use looping statements (for, while) to repeat tasks efficiently in Python code
How to work with Python collections (lists, dictionaries, sets) to organize and manipulate data
How to write and call Python functions to organize code and perform specific tasks
How to apply their programming skills in a practical exam and a capstone project that showcases their ability to solve data science problems
How to built a portfolio with their capstone project to demonstrate their programming skills to potential employers
Requirements
No programming requirements needed!
Description
Unlock the foundational skills needed for a successful career in data science with Programming Fundamentals. This beginner-friendly course guides you through the essentials of data science and Python programming, making complex concepts approachable and practical. Designed for aspiring data scientists, analysts, and professionals transitioning into data roles, this course requires no prior experience in programing or data science. You'll begin by exploring the core principles of data science and understanding how data can drive impactful decision-making across a variety of industries. Through guided lessons and hands-on projects, you'll develop critical programming skills, including:Basics of computer programming with PythonUsing Python variables, data types, and user inputs for dynamic codingWriting conditional statements and loops for efficient, logical workflowsOrganizing data with Python's collection types, including lists and dictionariesCreating and applying functions to streamline codeThe course also emphasizes real-world applications, allowing you to apply new skills in a capstone project and exam that reinforce your learning. By the end, you'll have a portfolio-ready project to showcase your skills and a solid foundation to further your journey in data science or any data-focused role. With high-demand, practical skills in hand, you'll be prepared to explore new career opportunities in data science, data analytics, and beyond. Don't miss this opportunity to build your knowledge and gain a competitive edge - enroll today and start unlocking your potential!
Who this course is for
Individuals new to data science who want to build a solid foundation in the fundamentals and gain hands-on experience
Those considering a career in data science or data analytics and looking for a practical starting point, especially in learning Python
Professionals from non-technical fields who want to understand data science basics and acquire programming skills to enhance their career prospects
Students studying science, technology, engineering, or mathematics who want to supplement their education with data science skills relevant to their fields
Learners eager to explore programming basics using Python and gain practical skills applicable to various projects, not limited to data science
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