Analytics for Beginners
4.3 (261 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,080 students enrolled

Analytics for Beginners

The course aims to introduce absolute beginners to the fundamentals of analytics, using simple examples from daily life.
4.3 (261 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,080 students enrolled
Created by Jigsaw Academy
Last updated 10/2014
English
English [Auto-generated]
Current price: $13.99 Original price: $19.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 4.5 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Introduce students to the fundamentals of Analytics
  • Briefly examine career possibilities in the field of analytics
  • Basic understanding of regression is also covered in the course
  • Have lots of fun using analytics!
Requirements
  • Basic maths, logic and reasoning skills with a desire to learn more!
Description

Ever felt that you’re missing out on the data race? Don’t know the difference between a variable and a vegetable? Then our Analytics for Beginners course is just for you!

What is this course about?

The motive of the course is to introduce absolute beginners, or novices to the fundamentals of analytics by using examples from daily life. Using a combination of real-life stories, interviews with analytics experts and journalistic articles presented in a breezy narrative style, Analytics for Beginners will ensure that you will never look at numbers and data in the same way again.

How will you do that?

By understanding how companies like Netflix, Amazon, Facebook or even great individuals like Archimedes or Florence Nightingale used analytics in their chosen spheres of work, the course will convey the relevance and importance of using analysis in everyday life. In terms of prior requirements, the viewer will only need a working knowledge of Excel, with logical and reasoning skills. A basic understanding of regression is also covered in the course. Mathematics skills are not required!

Who is this course for?

Are you a working professional or a stay-at-home mom? A young go-getter or an old has-been? A small business owner or a multi million dollar corporate hi-flier? The point is that none of it matters - because whoever you are and whatever you do, analytics can help you do it better!

Why should I do this course?

We’re not going to pretend that you can run logistic regressions and crack warehousing solutions at the end of this course. But what this course can do is open your eyes to the wonderful world of analytics opportunities and introduce you to some of its career possibilities.

Do you use a case study?

Keeping with the light-hearted tone of the course, the over-arching case study covered is based on the game of cricket. You can read up more about how the game is played, on its Wikipedia entry.
The case study seeks to determine who is the best cricketer amongst Indian cricketing greats - Sachin Tendulkar, Rahul Dravid and Saurav Ganguly by using regression analysis. This ensures the overall flavor of the course remains light and fun, even if the analytics does require a little data work.

Who this course is for:
  • Whoever you are and whatever you do, analytics can help you do it better. This course is for everyone!
  • This course includes a case study based on the game of Cricket. If you are not familiar with this game, don't worry. We have included a simple explanation of Cricket as well.
Course content
Expand all 22 lectures 04:30:57
+ Introducing the Analytics Methodology with a Case Study
13 lectures 02:30:43

The case study we will begin to examine is based on the game of cricket. For those of you who are not familiar with the game, please click on the link below and get a quick introduction to the game.

Problem Definition
10:42
Data Exploration- Part 1
12:57
Data Exploration- Part 2
16:13
Data Preparation- Part 1
14:01
Data Preparation- Part2
12:56
CS Modeling - Descriptive Analytics
12:01
CS Modeling - Predictive Analytics
17:20
CS Modeling - Regression Part A
06:52
CS Modeling - Regression Part B
15:26
CS Interpretation of Regression
09:40
CS Recap of the Modeling Process
03:19
CS Validation
13:52
CS Implementation, Tracking & Summary of the Analytics Methodology
05:24
+ Additional Content
4 lectures 58:37
Excel 101 Part A
20:30
Excel 101 Part B
18:46
Introducing Models & Algorithms
19:21
Note on P Value
1 page