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Beginner's Guide to Data & Data Analytics, by SF Data School

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Rating4.6
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Beginner's Guide to Data & Data Analytics, by SF Data School, available at $69.99, has an average rating of 4.57, with 9 lectures, based on 16597 reviews, and has 44967 subscribers.

You will learn about Free access to our Data Fundamentals Handbook, which compliments the video content in this course in written form The world of data is massive, but that doesn't mean it has to be complicated. Cut through the noise and get a clear vision of the "Big Picture" Learn the distinguishing factors between Data Analytics, Data Science, and Data Engineering Discover data tools – which are the most popular, how they work together, and why some are preferred over others Demystify how data moves from collection to analysis, and what people, processes and technologies are involved Get a step-by-step learning roadmap to becoming a practitioner of Data Analytics, and insight in to career paths that are most relevant Context gives each of us the grounding we need to think about data more meaningfully and know it better. Learn to break down some of data's most prized concepts and terms This course is ideal for individuals who are People who want to learn more about data, but don't know where to start or Anyone who believes that learning to work with data will change the way they do business, live their lives and help others or Someone who wants to ultimately work with data tools and learn how to make data-driven decisions or This course is the first step in learning how to work with data, building the context needed to understand the big picture or This course is NOT an Excel or SQL tutorial It is particularly useful for People who want to learn more about data, but don't know where to start or Anyone who believes that learning to work with data will change the way they do business, live their lives and help others or Someone who wants to ultimately work with data tools and learn how to make data-driven decisions or This course is the first step in learning how to work with data, building the context needed to understand the big picture or This course is NOT an Excel or SQL tutorial.

Enroll now: Beginner's Guide to Data & Data Analytics, by SF Data School

Summary

Title: Beginner's Guide to Data & Data Analytics, by SF Data School

Price: $69.99

Average Rating: 4.57

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

  • Free access to our Data Fundamentals Handbook, which compliments the video content in this course in written form
  • The world of data is massive, but that doesn't mean it has to be complicated. Cut through the noise and get a clear vision of the "Big Picture"
  • Learn the distinguishing factors between Data Analytics, Data Science, and Data Engineering
  • Discover data tools – which are the most popular, how they work together, and why some are preferred over others
  • Demystify how data moves from collection to analysis, and what people, processes and technologies are involved
  • Get a step-by-step learning roadmap to becoming a practitioner of Data Analytics, and insight in to career paths that are most relevant
  • Context gives each of us the grounding we need to think about data more meaningfully and know it better. Learn to break down some of data's most prized concepts and terms

Who Should Attend

  • People who want to learn more about data, but don't know where to start
  • Anyone who believes that learning to work with data will change the way they do business, live their lives and help others
  • Someone who wants to ultimately work with data tools and learn how to make data-driven decisions
  • This course is the first step in learning how to work with data, building the context needed to understand the big picture
  • This course is NOT an Excel or SQL tutorial

Target Audiences

  • People who want to learn more about data, but don't know where to start
  • Anyone who believes that learning to work with data will change the way they do business, live their lives and help others
  • Someone who wants to ultimately work with data tools and learn how to make data-driven decisions
  • This course is the first step in learning how to work with data, building the context needed to understand the big picture
  • This course is NOT an Excel or SQL tutorial

The inspiration for building this course is right in the title – it’s the Analytics Context We Wish We Had, When We First Started.

This course now includes free access to our Data Fundamentals Handbook, which compliments all the video content in this course in written form.

This course starts with an introduction to the world of data. Context is critical, and it most definitely applies to learning how to work with data. Before even touching a data tool, amongst many other things, we believe it’s vital that one fully understands the context surrounding data.

From there you’ll delve deep in to the differences between Data Analytics, Data Science, and Data Engineering, and how each of these roles provide value in their own way. In addition, you’ll gather a deep understanding of the tools used by professionals – which are the most popular, when one would be preferred over another, and how they can be used in collaboration.

Next, you’ll learn about the technical processes that encompass the lineage of data. This section will enable you to internalize the concept of a Data Pipeline, and start building-up a lexicon and literacy for how data moves from collection to analysis.

Finally, you’ll see a step-by-step learning roadmap to become a practitioner of Data Analytics. In this section you’ll gain access to recommended steps to take after this course, and career paths that are most relevant.

One of the biggest challenges in getting started with data is finding the right place to start, we believe this is it. You are 90 minutes away from truly understanding the world of data – a perspective we’ve built over a decade of experience.

Course Curriculum

Chapter 1: Setting the Stage: An Introduction to Data

Lecture 1: Setting the Stage: An Introduction to Data

Chapter 2: Roles and Skills of Data Professionals

Lecture 1: Roles and Skills of Data Professionals

Chapter 3: Classification of Data Analytics Tools

Lecture 1: Classification of Data Analytics Tools

Chapter 4: Deep Dive: The Data Analytics "Tool Triangle"

Lecture 1: Deep Dive: The Data Analytics "Tool Triangle"

Chapter 5: Data Types, Files, and Formats

Lecture 1: Data Types, Files, and Formats

Chapter 6: Data Pipelines: How Data Moves From Collection to Analysis

Lecture 1: Data Pipelines: How Data Moves From Collection to Analysis

Chapter 7: Data Flashcards: Key Concepts and Terminology

Lecture 1: Data Flashcards: Key Concepts and Terminology

Chapter 8: Data Analytics Learning Roadmap and Career Paths

Lecture 1: Data Analytics Learning Roadmap and Career Paths

Chapter 9: Thank You

Lecture 1: Thank You

Instructors

Rating Distribution

  • 1 stars: 65 votes
  • 2 stars: 186 votes
  • 3 stars: 1874 votes
  • 4 stars: 6504 votes
  • 5 stars: 7968 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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