Data Science 4 Newbs! Skills + Basic Web Experiment Analysis

Practice basic web experiment analysis hands-on and gain the crucial data science skills of Unix, SQL, and Tableau fast!
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  • Lectures 18
  • Exercises 6 coding exercises
  • Length 1.5 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Coding Exercises New!
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    30 day money back guarantee!
    Available on iOS and Android
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About This Course

Published 9/2016 English

Course Description

Hello there!  I’m the head of data science at Udemy and I'd love to share some knowledge with you.  In this course I teach the complete beginner how to use basic tools used by professional data scientists to compute key metrics for web experiment analysis!  The key skills of Unix, SQL, and Tableau will be covered at the beginner level, as well as a few concepts in statistics.  I use a  project based method so that you will learn something useful which can be applied in the real workplace!  I also use a test based approach, so that you will really know if you have learned the material.

What are the requirements?

  • No pre-knowledge is required; enthusiasm is all that you need!
  • A PC or Mac is required
  • No software is required in advance of the course; all software used in the course is free!

What am I going to get from this course?

  • Get basic skills in Unix, SQL, Tableau, and statistics applied to basic experiment analysis
  • Be prepared for the advanced course by the instructor, "Advanced Data Science: Master Deep Web Experiment Analysis"

What is the target audience?

  • Anybody interested in getting started in data science
  • Anybody interested in learning how to do basic web experiment analysis

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: What's Data Science? Test Drive Three Basic Tools
03:11

Ever wonder what data science really is?  Why is it important?  How do you do it?  More importantly, how is this course going to get you started in the brave new world of data science?  These profound questions are answered in this lecture.

03:56

Learn about the synthetic dataset designed for use in this course.  Download the dataset (attached to this lecture as 'downloadable material').

01:19

Learn about the operating system of choice.  Get a quick overview of the top 10 unix commands for this course.

08:36

Make sure you can access unix line commands on your computer.  Practice top unix commands by following along with the instructor.

Test Drive Unix
1 question
00:45

Learn about the programming language of choice for tabular data.  Get a quick overview of the top 5 SQL syntax elements.

11:11

Make sure you can access SQL line commands on your computer using the free application.  Practice the top 5 SQL syntax elements by following along with the instructor.

Test Drive SQL
1 question
00:55

Learn about the data visualization tool of choice for business intelligence.  Get a quick overview of the most basic Tableau work flow.

08:06

Make sure you can access the free version of Tableau on your computer.  Practice the most basic Tableau work flow by following along with the instructor.

Test Drive Tableau
1 question
Section 2: Where's The Money? Basic Experiment Analysis
01:53

Ever wonder what it means to do an experiment analysis?  This lecture describes what you will learn and practice in this section.

03:43

Ever wonder what statistical significance really means?  This lecture teaches you in an intuitive way.

2 questions

This quiz helps you to understand the meaning of statistical significance.

04:09

You will learn a key concept of statistics, which is commonly misunderstood, and which is crucial for experiment analysis.  You will learn the concept of distribution spread versus error of the mean in an intuitive way.

Distribution Spread Versus Error Of The Mean
3 questions
02:28

You will learn how to compute statistical significance in the simplest possible way.  The calculation is broken down into easy to digest, bite sized chunks.

How To Compute Statistical Significance
3 questions
07:33

Now you will start to practice your new SQL skills on a realistic problem.  Using the synthetic dataset provided with this course, you will compute the first step in experiment analysis.

Heavy Lifting: Basic Aggregates With SQL
1 question
01:03

You will learn how to complete the calculation of statistical significance in Tableau.  The calculation is broken down into simple steps.

12:01

Now you will push your new Tableau skills up a notch by creating all the variables you need to compute statistical significance.  Practice by following along with the instructor.

Do The Math: Calculations With Tableau
1 question
03:37

Using the output of your SQL calculation from the previous lecture, you will now proceed to visualize the resulting dataset using Tableau.  You will start to practice your new Tableau skills by visualizing and gaining insight on a realistic problem.

Get Insights: Visualization With Tableau
1 question
Section 3: Course Wrap Up
01:20

Get an overview of what's covered in the final exam.  Look back on all the cool things you've learned in this course!

Final Exam
5 questions
04:44

Get an intimate overview of careers in data science.  Understand the difference between the roles of business analytics and building algorithms for production systems.

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Instructor Biography

Dr. Larry Wai, Chief Data Scientist at Udemy

Larry Wai is an avid scientist who’s currently the head of data science at Udemy, a global marketplace for learning and teaching, where he’s pushing the frontiers of education technology. Larry has designed a unique scalable framework that allows multiple individual data scientists to become “full stack,” taking control of their own destinies from the exploration and research phase, through algorithm deployment, experiment set-up, and deep analytics. Prior to joining Udemy, Larry was a lead data scientist at Groupon and, earlier, a principal analyst at Yahoo Search. He has published and pending patents related to search and discovery data science methods. Before moving into the consumer Internet field, he was a scientist working on particle astrophysics, with physics experiments ranging from neutrino oscillations to detection of dark matter. He was recently awarded a portion of the 2016 Breakthrough Prize in Fundamental Physics for fundamental discovery and exploration of neutrino oscillations.

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