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[ DevCourseWeb com ] Udemy - Practical Data Literacy For Leaders
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1 - Introduction
1 - Introduction.mp4
2 - Module 1 The Basics
2 - What is Data Literacy.mp4
3 - The Practical Project for this Course.mp4
4 - Cali-Fashion-Performance.pptx
4 - CaliFashion-Sales.xlsx
4 - Data-Literacy-For-Leaders.pdf
4 - Download the Course Resources.mp4
3 - Module 2 How to effectively read data
10 - Data Accuracy.mp4
10 - Data-Quality-Example-1.xlsx
11 - Data Validity.mp4
12 - Data Timeliness.mp4
13 - Data Completeness.mp4
14 - Data Uniqueness.mp4
15 - Data Consistency.mp4
15 - Data-Quality-Final-1.xlsx
16 - CaliFashion-Sales-DataQualityExercise.xlsx
16 - EXERCISE Practice on Data Quality.mp4
17 - CaliFashion-Sales-DataQualityExercise.xlsx
17 - SOLUTION Practice on Data Quality.mp4
18 - Chart games how people will try to manipulate you Part 1.mp4
19 - Chart games how people will try to manipulate you Part 2.mp4
20 - Chart games how people will try to manipulate you Part 3.mp4
21 - Chart games how people will try to manipulate you Part 4.mp4
22 - EXERCISE Avoiding the chart game.mp4
23 - SOLUTION Avoiding the chart game.mp4
5 - Step 1 Understand your goal and determine business questions.mp4
6 - CaliFashion-Sales.xlsx
6 - Step 2 Get the right data.mp4
7 - Step 3 Understand the data and its sources.mp4
8 - Step 4 Clean the data understand the data quality.mp4
9 - The Data Quality Dimensions.mp4
4 - Module 3 How to effectively work with data
24 - Step 1 Summarize the data.mp4
25 - Data Centrality Mean number.mp4
26 - Data Centrality Median number.mp4
27 - CaliFashion-Sales-DataCentrality.xlsx
27 - Data Centrality Mode number.mp4
28 - Data Dispersion.mp4
29 - Data Dispersion Range.mp4
30 - Data Dispersion Standard Deviation.mp4
30 - standarddeviationreallifeexamples.txt
31 - Data Dispersion InterQuartile range.mp4
32 - Data Replication.mp4
33 - Data Shape Histograms.mp4
34 - CaliFashion-Sales-Histogram.xlsx
34 - EXERCISE Summarize the data.mp4
35 - Step 2 DrillDown on the data.mp4
36 - CaliFashion-Sales-PivotChart.xlsx
36 - EXERCISE Drilldown on the data.mp4
5 - Module 4 How to effectively analyze data
37 - Step 1 Avoid Bias.mp4
38 - Confirmation Bias.mp4
39 - Outliers Bias.mp4
40 - Selection Bias.mp4
41 - RushtoSolve Bias.mp4
42 - Availability Bias.mp4
43 - Anchor Bias.mp4
44 - Step 2 Find the 8020s in your data.mp4
45 - Step 3 Derive questions from the data.mp4
46 - Step 4 Bring in the business SMEs Subject Matter Experts.mp4
47 - Step 5 Choose the correct KPIsdata points.mp4
48 - Step 6 Make sound datadriven decisions.mp4
49 - Data Driven Companies.txt
49 - Data Science at Netflix.txt
49 - EXAMPLE Data Driven Company.mp4
6 - Module 5 How to effectively present data
50 - Presentation-Worksheet.xlsx
50 - Presenting data effectively intro.mp4
51 - Step 1 Know your audience.mp4
52 - Step 2 What is your goal.mp4
53 - Step 3 Choose the critical KPIs to present.mp4
54 - Step 4 Choose the right format.mp4
55 - 14 Chart Types.txt
55 - Choosing a Chart Type Detailed post long.txt
55 - Step 5 Choose the right chartsvisualizations.mp4
56 - Step 6 Focus on the key data points.mp4
57 - Step 7 It is all about storytelling.mp4
58 - EXERCISE Presentation preparation.mp4
7 - Module 6 Important Data and Analytics terminology
59 - Module Intro.mp4
60 - BI and Big Data.txt
60 - Big Data Use Cases.txt
60 - Big Data.mp4
61 - Business Intelligence BI.mp4
62 - Data Architecture.mp4
63 - Data Dictionary.mp4
64 - Data Catalog.mp4
65 - Data Engineering.mp4
66 - Data Management.mp4
67 - Data Governance.mp4
68 - Dataset.mp4
69 - Data Quality.mp4
70 - Data Science Detailed.txt
70 - Data Science.mp4
71 - Data Warehouse.mp4
72 - Data Mart.mp4
73 - Data Lake.mp4
74 - Data Visualization.mp4
75 - ETL.mp4
76 - Metadata.mp4
8 - What Next
77 - Thank You.mp4
78 - Bonus Lecture.html
Bonus Resources.txt
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