Analytics for Beginners

The course aims to introduce absolute beginners to the fundamentals of analytics, using simple examples from daily life.
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  • Lectures 22
  • Length 4.5 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 8/2014 English

Course 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.

What are the requirements?

  • Basic maths, logic and reasoning skills with a desire to learn more!

What am I going to get from this course?

  • 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!

Who is the target audience?

  • 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.

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.


Section 1: Introduction to Analytics
Introduction to Analytics
Types of Analytics
Introduction to Variables
Summary Statistics
Section 2: Introducing the Analytics Methodology with a Case Study

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.

Data Exploration- Part 1
Data Exploration- Part 2
Data Preparation- Part 1
Data Preparation- Part2
CS Modeling - Descriptive Analytics
CS Modeling - Predictive Analytics
CS Modeling - Regression Part A
CS Modeling - Regression Part B
CS Interpretation of Regression
CS Recap of the Modeling Process
CS Validation
CS Implementation, Tracking & Summary of the Analytics Methodology
Section 3: In Closing
Section 4: Additional Content
Excel 101 Part A
Excel 101 Part B
Introducing Models & Algorithms
Note on P Value
1 page

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Instructor Biography

Jigsaw Academy, The Online School of Analytics

Jigsaw Academy is a Bangalore based analytics training company that is run by analytics professionals. Their data analytics courses are designed and delivered by industry experts who have applied analytics to solve business problems in a variety of fields like retail, FMCG, financial services, telecom and health care. The instructors use their real-world experiences to teach analytical skills that are most valuable at the work place. Their flagship course called the Foundation course in Analytics and the language of SAS ( data analytics course) has been taken by thousands of students across the globe and has helped launch many careers in this new and exciting field. They have recently completed analytics training workshops in B schools across the country, including IIM Bangalore.

Jigsaw Academy's analytics courses have been compared with the best institutes in India be it IIT’s or IIM’s & is featured as one of the best analytics training institute in India. Considering Jigsaw Academy's course quality, Great Lakes (a premiere MBA institute in India) has collaborated with Jigsaw Academy in offering a Post Graduate Programme in Analytics.

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