Practical Data Literacy For Leaders

[LeeAndro]

Published 10/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.10 GB | Duration: 5h 3m

Make better data-driven business-decisions.​

Present your data like a PRO. Learn the key data and analytics teology

What you'll learn
How to effectively read and understand data
How to analyze data like a PRO
How to effectively argue with data
How to present data
How to make data-drive business-decisions
How to use statistical and analytical methods within your analysis
Requirements
Basic excel knowledge will be helpful
Some of the practical exercises will require Excel to be performed
Description
Learn quickly with my Practical Data Literacy for Leaders course that covers the latest best practices from the Data IndustryThis is a practical course! There is a course project that we will follow as we learn all the below topics.In this course you will learn:What is Data Literacy and why it is importantHow to ask the correct data questionsHow to make sure you are using the correct dataAnalyze the quality of data that you receiveHow to properly summarize dataHow to drill-down on big datasets without missing important informationWhat is analysis bias and how to avoid itHow to derive the correct KPIs and data pointsHow to engage SMEs with the correct data questions for best resultsHow to make sound data-driven business-decisionsHow to effectively argue with dataHow to choose the right format for a presentation with focus on dataWhat charts/visualizations to choose for your presentationHow to use data to tell a story to your audienceLearn the most important and popular data and analytics teology so you can undetrstand and engage in any meetimail communicationLearn key data statistics and analytics concepts... and a lot of tips and tricks from 10+ years of experience!Enroll today and enjoy:Life access to the course and all future updates5 hours of high quality, up to date video lecturesPractical Data Literacy course with step by step instructions on how to implement the different techniquesThanks again for checking out my course and I look forward to seeing you in the classroom!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Module 1 - The Basics

Lecture 2 What is Data Literacy

Lecture 3 The Practical Project for this Course

Lecture 4 the Course Resources

Section 3: Module 2 - How to effectively read data

Lecture 5 Step 1 - Understand your goal and detee business questions

Lecture 6 Step 2 - Get the right data

Lecture 7 Step 3 - Understand the data and its sources

Lecture 8 Step 4 - Clean the data/ understand the data quality

Lecture 9 The Data Quality Dimensions

Lecture 10 Data Accuracy

Lecture 11 Data Validity

Lecture 12 Data liness

Lecture 13 Data Completeness

Lecture 14 Data Uniqueness

Lecture 15 Data Consistency

Lecture 16 EXERCISE: Practice on Data Quality

Lecture 17 SOLUTION: Practice on Data Quality

Lecture 18 Chart games - how people will try to manipulate you! Part 1

Lecture 19 Chart games - how people will try to manipulate you! Part 2

Lecture 20 Chart games - how people will try to manipulate you! Part 3

Lecture 21 Chart games - how people will try to manipulate you! Part 4

Lecture 22 EXERCISE: Avoiding the chart game

Lecture 23 SOLUTION: Avoiding the chart game

Section 4: Module 3 - How to effectively work with data

Lecture 24 Step 1 - Summarize the data

Lecture 25 Data Centrality - Mean number

Lecture 26 Data Centrality - Median number

Lecture 27 Data Centrality - Mode number

Lecture 28 Data Dispersion

Lecture 29 Data Dispersion - Range

Lecture 30 Data Dispersion - Standard Deviation

Lecture 31 Data Dispersion - Inter-Quartile range

Lecture 32 Data Replication

Lecture 33 Data Shape - Histograms

Lecture 34 EXERCISE: Summarize the data

Lecture 35 Step 2 - Drill-Down on the data

Lecture 36 EXERCISE: Drill-down on the data

Section 5: Module 4 - How to effectively analyze data

Lecture 37 Step 1 - Avoid Bias

Lecture 38 Confirmation Bias

Lecture 39 Outliers Bias

Lecture 40 Selection Bias

Lecture 41 Rush-to-Solve Bias

Lecture 42 Availability Bias

Lecture 43 Anchor Bias

Lecture 44 Step 2 - Find the 80/20's in your data

Lecture 45 Step 3 - Derive questions from the data

Lecture 46 Step 4 - Bring in the business SMEs (Subject Matter Experts)

Lecture 47 Step 5 - Choose the correct KPIs/data points

Lecture 48 Step 6 - Make sound data-driven decisions

Lecture 49 EXAMPLE - Data Driven Company

Section 6: Module 5 - How to effectively present data

Lecture 50 Presenting data effectively intro

Lecture 51 Step 1 - Know your audience

Lecture 52 Step 2 - What is your goal

Lecture 53 Step 3 - Choose the critical KPIs to present

Lecture 54 Step 4 - Choose the right format

Lecture 55 Step 5 - Choose the right charts/visualizations

Lecture 56 Step 6 - Focus on the key data points

Lecture 57 Step 7 - It is all about storytelling

Lecture 58 EXERCISE: Presentation preparation

Section 7: Module 6 - Important Data and Analytics teology

Lecture 59 Module Intro

Lecture 60 Big Data

Lecture 61 Business Intelligence (BI)

Lecture 62 Data Architecture

Lecture 63 Data Dictionary

Lecture 64 Data Catalog

Lecture 65 Data Eeering

Lecture 66 Data Management

Lecture 67 Data Governance

Lecture 68 Dataset

Lecture 69 Data Quality

Lecture 70 Data Science

Lecture 71 Data Warehouse

Lecture 72 Data Mart

Lecture 73 Data Lake

Lecture 74 Data Visualization

Lecture 75 ETL

Lecture 76 Metadata

Section 8: What Next

Lecture 77 Thank You

Lecture 78 Bonus Lecture

Executives,Business Leaders,Managers at all levels in the organization,Experienced individual contributors

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