Beginner's Guide to Coding and Data

Level: Beginner

Data science explained | Learning to code for data science beginners - Programming concepts playlist


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Understanding Data Science and Programming in Data Science

In this piece, we delve into the world of data science and how programming plays an integral role. We'll begin by examining the three major topics that will guide us toward a comprehensive understanding of data science.

Our roadmap for this discussion involves:

  1. Defining what data science is
  2. Exploring an example project focused on stock trading
  3. Discussing the role of programming in data science

What is Data Science?

The first step in our journey is to establish what data science is. Data science is an interdisciplinary field focusing on the data lifecycle and its application in decision-making. We want to highlight two terms here:

  • Interdisciplinary
  • Data Lifecycle

Being interdisciplinary means that data science is a blend of various disciplines such as mathematics, computer science, and domain-specific fields. The domain could be anything from business to healthcare to astronomy, essentially any field that uses data.

The concept of the data lifecycle refers to how data evolves over time, from creation to eventual deletion. It's important to understand that data science has gained prominence due to technological innovations that have extended data lifecycles.

A Practical Example: Stock Trading Project

To see data science in action, let's consider an example: building a stock trading bot. This project allows us to understand that finance and trading are the domain fields for this exercise. We can divide the structure into four parts:

let framework = [
    "Data Source",
    "Data Storage",
    "Data Analytics",

The four elementsβ€”Data Source, Data Storage, Data Analytics, and Decisionβ€”serve as the building blocks of most data science projects. These components work in tandem to turn raw data into actionable insights.

The Role of Programming

Now that we understand the framework, let's explore how much programming is involved at each step. Here, the level of difficulty can vary from simple data operations to complex AI algorithms.

  • Data movement and transformation
  • Querying and data retrieval
  • Statistical and AI-based analytics
  • Decision-making application design

Programming serves as one of the vital tools in the data science landscape, aiding in problem-solving and decision-making based on data. Whether you're a beginner or an expert, there's room for growth.

Ready to delve deeper into data science and programming? We recommend jumping into our data science programming playlist to build your skills and kickstart your projects.


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Quiz Results


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This discussion is all about data science and programming for data science. Before we begin, let's look at how we will break things down. There are 3 topics that will lead us to an understanding of data science. 1) What is data science? 2) Data science project for trading stocks. 3) How much programming is needed? By the end of this talk, you'll be equipped with the knowledge of what data science is and how you can get started with data science yourself. πŸ•’πŸ¦Ž VIDEO SECTIONS πŸ¦ŽπŸ•’ 00:00 Welcome to DEEPLIZARD - Go to for learning resources 00:30 Help deeplizard add video timestamps - See example in the description 09:31 Collective Intelligence and the DEEPLIZARD HIVEMIND πŸ’₯🦎 DEEPLIZARD COMMUNITY RESOURCES 🦎πŸ’₯ πŸ‘‹ Hey, we're Chris and Mandy, the creators of deeplizard! πŸ‘€ CHECK OUT OUR VLOG: πŸ”— πŸ’ͺ CHECK OUT OUR FITNESS CHANNEL: πŸ”— 🧠 Use code DEEPLIZARD at checkout to receive 15% off your first Neurohacker order: πŸ”— ❀️🦎 Special thanks to the following polymaths of the deeplizard hivemind: Mano Prime πŸ‘€ Follow deeplizard: Our vlog: Fitness: Facebook: Instagram: Twitter: Patreon: YouTube: πŸŽ“ Deep Learning with deeplizard: AI Art for Beginners - Deep Learning Dictionary - Deep Learning Fundamentals - Learn TensorFlow - Learn PyTorch - Natural Language Processing - Reinforcement Learning - Generative Adversarial Networks - Stable Diffusion Masterclass - πŸŽ“ Other Courses: DL Fundamentals Classic - Deep Learning Deployment - Data Science - Trading - πŸ›’ Check out products deeplizard recommends on Amazon: πŸ”— πŸ“• Get a FREE 30-day Audible trial and 2 FREE audio books using deeplizard's link: πŸ”— 🎡 deeplizard uses music by Kevin MacLeod πŸ”— ❀️ Please use the knowledge gained from deeplizard content for good, not evil.


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