Udemy

2023 CORE: Data Science and Machine Learning

立即報名
  • 3,196 名學生
  • 更新於 8/2023
4.6
(348 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
教學語言
英語
授課導師
Dr. Isaac Faber
評分
4.6
(348 個評分)
5次瀏覽

課程簡介

2023 CORE: Data Science and Machine Learning

A complete survey of all core skills required on the job

This is an ambitious course. The goal here is simple: Only teach what you need to know for day 1 of your first data science job. No fluff, nothing out of context, no topics that are not relevant to real world applications. We will cover EVERY core topic and tool required for those new to data science: Python, R, SQL, Useful Math/Stats/Algorithms, Tableau, and Excel in depth. The course will cover skills that align with three different job types:

- Data Analyst

- General Data Scientist

- Machine Learning Engineer

You can expect to learn from first principles the foundational topics and tools used in practice today. We will avoid topics that are not useful or are simply too advanced when starting out. Your journey will be guided by the Data Science Road Map, a collection of the best resources gathered through years of experience by the instructor.

In addition, we will survey every important technology required on the job including GitHub, Kaggle, the basics of cloud, web development and docker. With over 200 videos, readings, and assignments, you can be sure you will be well prepared to join the data community.

If you are just getting started or want to fill in some of your knowledge gaps this course is for you!

課程章節

  • 10 個章節
  • 267 堂課
  • 第 1 章 Introduction - First Principals
  • 第 2 章 Data Analyst - Case Study - Intro & Basic Spreadsheets
  • 第 3 章 Data Analyst - Case Study - Intermediate Spreadsheets
  • 第 4 章 Data Analyst - Case Study - Advanced Spreadsheets
  • 第 5 章 Data Analyst - Case Study - SQL Basics
  • 第 6 章 Data Analyst - Case Study - SQL Intermediate and Advanced
  • 第 7 章 Data Analyst - Case Study - Business Intelligence and Tableau Introduction
  • 第 8 章 Data Analyst - Case Study - Tableau Intermediate and Advanced Topics
  • 第 9 章 Data Scientist - Case Study - Introduction to R
  • 第 10 章 Data Scientist - Case Study - Exploratory Data Analysis and the R Tidyverse

課程內容

  • Learn all necessary core skills for Data Analysis, Data Science, and Machine Learning
  • Understand the first principles of data science and why it is so popular and important
  • Learn how to use, from scratch, Python, R, SQL, Tableau, and MS Excel for data science
  • Learn about a broad range of data science and machine learning libraries and resources
  • Build and host a personal resume and portfolio of data science projects using GitHub Pages
  • Learn about key supporting skills like Git/version-control, Kaggle, Databases, Command Line tools, and much more!
  • Learn how to setup development environments from scratch in R and Python
  • Learn about important related technologies like cloud, docker, and web development,
  • Learn to deploy a machine learning model using docker


評價

  • D
    Donald McKinney
    5.0

    Love the course.

  • C
    Cemil Altay
    3.5

    English subtitles are very bad. Without this problem, very good Data Scientist courses. I like Isaac Faber expressions and examples. He's very understandable wording and readable coding.

  • S
    Santhosh S
    5.0

    The course content was top-notch. It covered all the fundamental concepts of data science using Python, from data manipulation and visualization to machine learning. The explanations were clear, and the examples were practical, making it easy to grasp even for beginners like me.

  • L
    Lasya S
    5.0

    The course is providing a truly immersive and enlightening learning experience. The knowledgeable instructors, engaging content, and activities made it an valuable opportunity for personal and professional growth.

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