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Data Literacy : An Ultimate Guide to Digital transformation

سرفصل های دوره

Learn Essential Data Skills : Data Science, Data Analysis, Data Visualization, Web Scraping, Excel, Google Analytics


1. Setting up the practical environment
  • 1.1 Data literacy Textbook.pdf
  • 1.2 Practice File for Student.zip
  • 1.3 Practice File completed version.zip
  • 1. 001 Using PowerQuery in Excel 2013
  • 2. 002 Using PowerQuery in Excel 2016
  • 3. 003 Power BI Desktop

  • 2. Mega Trends & Cases
  • 1. 101 Walmart Cases
  • 2. 102 Digital Transformation

  • 3. Decision-Making and Data
  • 1. 201 Intuitive Decision-Making and Data-Driven Decision-Making
  • 2. 202 ConocoPhillips Case
  • 3. 203 Data-driven decision model
  • 4. 204 Examples of data-driven strategies

  • 4. Data Literacy
  • 1. 301 Data Literacy Capabilities

  • 5. What is Data
  • 1. 401 Data type Unstructured Data
  • 2. 402 Data Type Structured Data
  • 3. 403 DIKW Pyramid

  • 6. Data Planning Literacy
  • 1. 501 Core competencies in data planning literacy
  • 2. 502 Data Science Process
  • 3. 503 Set up BQ for decision making
  • 4. 504 Data analysis model
  • 5. 505 Customer Analysis with Analysis Model
  • 6. 506 Analysis Model Establishment Strategy
  • 7. 507 Analysis Objectives KPI Derivation Framework

  • 7. Data collection literacy
  • 1. 601 Collection Data Type
  • 2. 602 Survey-based primary data collection
  • 3. 603 Crawling Secondary Data Collection
  • 4. 604 Collecting Digital Service Log Data
  • 5. 605 Data tagging and labeling

  • 8. Data Management Literacy
  • 1. 701 Files and databases
  • 2. 702 Data models and databases

  • 9. Data Processing Literacy
  • 1. 801 Data processing core competencies
  • 2. 802 Preprocessing data understood as a case
  • 3. 803 Use of pre-processing tools

  • 10. Data Analysis Literacy
  • 1. 901 Key Competencies in Data Analysis Literacy

  • 11. Descriptive Statistics
  • 1. 1001 Meaning of Data Summarization
  • 2. 1002 Data and Descriptive Statistics
  • 3. 1003 Introduction to Statistical Analysis Using Standard Deviation
  • 4. 1004 Deriving Insights Using Statistical Analysis
  • 5. 1005 Introduction to Probability Through Bootstrap Experiments
  • 6. 1006 Understanding the Central Limit Theorem and Population Estimation
  • 7. 1007 Estimating Customer Visit Frequency Using Sample Sampling
  • 8. 1008 Estimating Expected Revenue Through Monte Carlo Simulation

  • 12. Business Analysis
  • 1. 1101 Data Analysis and Analysis Models
  • 2. 1102 Performing Data Preprocessing and Basic Insight Extraction through EDA
  • 3. 1103 Trend Analysis
  • 4. 1104 Comparative Analysis and Ranking Analysis
  • 5. 1105 Correlation Analysis

  • 13. Service Analysis
  • 1. 1201 Digital Services and Data
  • 2. 1202 Analysis of Digital Services
  • 3. 1203 Tools for Analyzing Digital Services

  • 14. Data Visualization Literacy
  • 1. 1301 Key Competencies in Data Visualization
  • 2. 1302 Visualization Techniques for Summarizing Data
  • 3. 1303 Introduction to Practical Data Visualization
  • 4. 1304 Data Visualization by Analysis Tools

  • 15. Data-Driven Business Strategy
  • 1. 1401 Case Studies in Data-Driven Business
  • 2. 1402 Case Studies in Data-Product Business

  • 16. Data Literacy
  • 1. 1501 Key Concepts of Data Literacy Summary
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    تاریخ انتشار: 6 فروردین 1403
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