Practical Data Literacy For Leaders

[mitsumi]

Practical Data Literacy For Leaders
Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: 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 terminology

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 Industry**This 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 terminology so you can undetrstand and engage in any meeting/email communicationLearn key data statistics and analytics concepts... and a lot of tips and tricks from 10+ years of experience!Enroll today and enjoy:Lifetime 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 Download the Course Resources
Section 3: Module 2 - How to effectively read data
Lecture 5 Step 1 - Understand your goal and determine 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 Timeliness
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 terminology
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 Engineering
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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