Towards A Data Mindset

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SeaportAi .

1:28:44

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1 - Introduction

1 - Introduction.mp4

01:46

2 - Characteristics of Data Mindset.mp4

05:06

2 - What Gets Measured Gets Improved

3 - What Gets Measured Gets Improved.mp4

04:44

3 - Is average a reliable measure

4 - Averages Can Be Misleading.mp4

07:22

5 - Case Studies.mp4

08:27

6 - Easy Computations in Excel.mp4

03:29

4 - Lead Vs Lag Indicators

7 - Lead Vs Lag Indicators.mp4

03:37

8 - Examples.mp4

04:29

5 - Measure it right and Sample it right

9 - Measure it right.mp4

06:55

10 - More Examples.mp4

04:29

11 - Sample it right.mp4

04:16

12 - More Examples.mp4

03:17

6 - Correlation

13 - Introduction.mp4

07:28

14 - Correlation Vs Causation.mp4

01:54

15 - Should you reward extreme performance.mp4

04:52

7 - Logical Fallacies

16 - Logical Fallacies.mp4

06:18

8 - Outliers

17 - Outliers.mp4

06:19

9 - Look ahead

18 - Forecasting.mp4

03:56

Description

Practical Insights For Building A Data Driven Mindset

What You'll Learn?

What is data mindset
Are averages misleading
Should I reward (or penalize) extreme performance
Is a lag indicator a reliable measure
What are end to end measures
Are inferences from a sample reliable
What are outliers
How to forecast future performance easily

Who is this for?

Professionals

Analysts

Students

Anyone who is curious to explore this topic

What You Need to Know?

None.

More details

Description
In a world driven by data, developing a robust data mindset is crucial for anyone looking to make informed decisions and drive improvement. This course is designed to equip participants with the foundational concepts and tools needed to harness the power of data effectively.
Key Topics:
What Gets Measured Gets Improved: Introduction to the concept of y=f(x) and understanding that every problem or opportunity can be framed as an equation. This sets the stage for a data-driven approach to improvement.
Averages Can Be Misleading: Dive into measures of central tendency versus dispersion and explore the importance of understanding the full picture that data presents.
Lead vs. Lag Indicators: Learn the difference between indicators that predict future performance and those that reflect past performance, and how to use them effectively.
Measure It Right: Explore the concept of end-to-end measures versus silo measures and the importance of accurate measurement to avoid the illusion of success.
Sample It Right: Understand the principles of sampling and how to ensure your data is representative and reliable.
Correlation and Causation: Uncover the differences between correlation and causation and the pitfalls of confusing the two.
Should You Reward Extreme Performance?: Discuss the concept of regression to the mean and its implications for performance evaluation.
Outliers: Learn how to identify and interpret outliers in your data and their impact on analysis.
Forecasting: Gain insights into basic forecasting techniques and how to predict future trends based on historical data.
This course is designed for anyone looking to enhance their ability to think critically about data and apply data-driven principles to their work or personal life. Whether you're a manager, analyst, or just someone interested in the power of data, this course will provide you with the tools and mindset needed to unlock the insights hidden within data.

Disclaimer: Please note that this course is focused on developing a data mindset and is not a technical course on data analysis or data science. It is designed to provide practical insights and foundational concepts for thinking critically about data in decision-making processes.
Who this course is for:
Professionals
Analysts
Students
Anyone who is curious to explore this topic

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Data Science

SeaportAi .

Instructor's Courses

Profile of Trainer Govind KumarSummaryOver 2 decades of experience managing Technology, Operations and Quality in top MNCs & startups. Held leadership roles (including Founder & CEO of an AI & Automation Startup) and managed businesses across Asia Pacific & Japan region.Expertise AI, Six Sigma and InnovationKey ExperiencesSuccessfully incubated Centers of Excellence for fraud prevention and service analytics. Significant experience in design thinking based product development and management. Played a critical role in developing products for emerging markets.Education & CertificationB. Tech and Full time MBA from top institutes in IndiaCertifications in six sigma and project management.AccoladesWon global awards in the areas of Customer Experience, Leadership Excellence, Quality and Technology.Featured in the cover of CIO Review Magazine.Board of Studies Member of the Board of Studies at Loyola College, Chennai, India (a 96 year old institution)

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