Data Literacy : An Ultimate Guide to Digital transformation

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마소캠퍼스 Masocampus

3:04:16

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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.mp4

01:33

2. 002 Using PowerQuery in Excel 2016.mp4

00:26

3. 003 Power BI Desktop.mp4

01:49

2. Mega Trends & Cases

1. 101 Walmart Cases.mp4

06:43

2. 102 Digital Transformation.mp4

05:16

3. Decision-Making and Data

1. 201 Intuitive Decision-Making and Data-Driven Decision-Making.mp4

04:06

2. 202 ConocoPhillips Case.mp4

01:22

3. 203 Data-driven decision model.mp4

02:25

4. 204 Examples of data-driven strategies.mp4

03:41

4. Data Literacy

1. 301 Data Literacy Capabilities.mp4

01:55

5. What is Data

1. 401 Data type Unstructured Data.mp4

01:33

2. 402 Data Type Structured Data.mp4

03:53

3. 403 DIKW Pyramid.mp4

03:09

6. Data Planning Literacy

1. 501 Core competencies in data planning literacy.mp4

02:11

2. 502 Data Science Process.mp4

02:28

3. 503 Set up BQ for decision making.mp4

01:58

4. 504 Data analysis model.mp4

02:37

5. 505 Customer Analysis with Analysis Model.mp4

05:33

6. 506 Analysis Model Establishment Strategy.mp4

02:02

7. 507 Analysis Objectives KPI Derivation Framework.mp4

03:06

7. Data collection literacy

1. 601 Collection Data Type.mp4

01:29

2. 602 Survey-based primary data collection.mp4

04:33

3. 603 Crawling Secondary Data Collection.mp4

03:10

4. 604 Collecting Digital Service Log Data.mp4

04:10

5. 605 Data tagging and labeling.mp4

01:12

8. Data Management Literacy

1. 701 Files and databases.mp4

03:59

2. 702 Data models and databases.mp4

07:59

9. Data Processing Literacy

1. 801 Data processing core competencies.mp4

03:02

2. 802 Preprocessing data understood as a case.mp4

03:45

3. 803 Use of pre-processing tools.mp4

02:40

10. Data Analysis Literacy

1. 901 Key Competencies in Data Analysis Literacy.mp4

03:55

11. Descriptive Statistics

1. 1001 Meaning of Data Summarization.mp4

01:47

2. 1002 Data and Descriptive Statistics.mp4

05:02

3. 1003 Introduction to Statistical Analysis Using Standard Deviation.mp4

02:30

4. 1004 Deriving Insights Using Statistical Analysis.mp4

06:03

5. 1005 Introduction to Probability Through Bootstrap Experiments.mp4

04:35

6. 1006 Understanding the Central Limit Theorem and Population Estimation.mp4

03:55

7. 1007 Estimating Customer Visit Frequency Using Sample Sampling.mp4

06:25

8. 1008 Estimating Expected Revenue Through Monte Carlo Simulation.mp4

03:13

12. Business Analysis

1. 1101 Data Analysis and Analysis Models.mp4

01:17

2. 1102 Performing Data Preprocessing and Basic Insight Extraction through EDA.mp4

04:36

3. 1103 Trend Analysis.mp4

06:26

4. 1104 Comparative Analysis and Ranking Analysis.mp4

02:04

5. 1105 Correlation Analysis.mp4

03:36

13. Service Analysis

1. 1201 Digital Services and Data.mp4

01:42

2. 1202 Analysis of Digital Services.mp4

03:29

3. 1203 Tools for Analyzing Digital Services.mp4

02:23

14. Data Visualization Literacy

1. 1301 Key Competencies in Data Visualization.mp4

07:24

2. 1302 Visualization Techniques for Summarizing Data.mp4

02:55

3. 1303 Introduction to Practical Data Visualization.mp4

05:52

4. 1304 Data Visualization by Analysis Tools.mp4

01:06

15. Data-Driven Business Strategy

1. 1401 Case Studies in Data-Driven Business.mp4

02:31

2. 1402 Case Studies in Data-Product Business.mp4

02:33

16. Data Literacy

1. 1501 Key Concepts of Data Literacy Summary.mp4

05:12

Description

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

What You'll Learn?

Learn data analysis techniques using Excel, a tool commonly used in the workplace.
Learn how to create visualizations that suit your data.
Improve problem-solving and persuasive skills through data analysis.
Enhance practical skills by working directly with real datasets in hands-on exercises.

Who is this for?

For those who are new to data and have never used it, and want to start learning how to view data right away

For those who want to understand not only data-related concepts but also develop the ability to read and utilize data

For those who want to derive business insights based on data design skills, not mathematics

For those who want to effectively evaluate business-related data and conduct actionable data analysis

What You Need to Know?

As the course emphasizes hands-on practice, having dual monitors or an additional device to separate the lecture and practical screens would be beneficial.

Since the practical sessions are conducted on a Windows OS, it is recommended to attend the lectures in a Windows environment.

No prior knowledge of data analysis is required.

Having knowledge of Excel can be helpful, but it is not a prerequisite.

More details

Description
Data Turned into Money!
â€œWould you like a receipt?â€
â€œNo, just throw it away~â€

Receipts we receive when purchasing products are filled with data about the customer, price, and more.
Like the receipts we carelessly discard, are we overlooking the numerous data in our everyday life?
â€˜Dataâ€™ might seem distant to some, but in reality, everything around us in our daily lives is data, and everything can be transformed into data.
If we can read and utilize the value of this data, we can create another level of achievement.

The Business Success Formula: Data Literacy
In today's business world, often referred to as a data flood, there is an overwhelming amount of data.
To excel in our respective fields, we need the foundational strength to swim through this flood.
That strength is data literacy.

Data literacy is the ability to read, understand, analyze, and critically use data as if it were a language.
Only when we effectively understand data can we improve its quality and extract hidden insights through more professional and advanced data analysis.

Just like this. Faster than anyone, yet solidly!
Mastering Data Literacy: The Complete Guide

STEP 1. Building a solid foundation from data concepts to data-driven decision-making
Even for those unfamiliar with the term â€˜data,â€™ we start with the basics of data concepts and types, gradually building up to an easy understanding of the importance and meaning of data-driven decision-making and data-centric organizations.

STEP 2. Analyze data with familiar Excel, not the hard way
Do you need to know programming languages like Python or R to analyze data?
Not at all!
Weâ€™ll teach you how to â€˜properlyâ€™ analyze data using Excel, a tool commonly used in the workplace, from start to finish.

STEP 3. What we should focus on: Not just using analytical tools, but enhancing data analysis skills.
This course is not just about explaining the functions of Excel.
We tackle real business problems encountered in the workplace using actual datasets, covering everything from data collection, preprocessing, analysis, to visualization, extracting insights and solving problems.
You will naturally learn how to view, interpret, and utilize data, and after the course, anyone will be able to think data-driven and immediately apply data analysis skills to their work.

Who this course is for:
For those who are new to data and have never used it, and want to start learning how to view data right away
For those who want to understand not only data-related concepts but also develop the ability to read and utilize data
For those who want to derive business insights based on data design skills, not mathematics
For those who want to effectively evaluate business-related data and conduct actionable data analysis

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Transform Today, Triumph Tomorrow with MASO CAMPUS! "Growing Beyond Yesterday, Every Day!" Join the learning revolution at MASO CAMPUS, where over 100 million hours of dedicated teaching since 2013 have empowered businesses, government agencies, universities, and individuals across the globe.Why MASO CAMPUS?-Expert-Led Digital Transformation: Dive into lectures loved for a decade, spanning Data Science, AI, Digital Marketing, Smart Working, and IT & Software Development.-Action-Oriented Learning: Our curriculum is not just about knowledge, it's about transformation. Every lesson is a step towards practical application.-Efficiency in Education: Time is precious. Our Time-Saving Curriculum is designed to maximize learning while respecting your busy schedule.- Our Commitment to Your Growth:-Tailored for Real-World Impact: With MASO CAMPUS, you don’t just learn; you apply. Each course is a blend of innovation, practicality, and efficiency.-A Community of Growth: Be a part of a vibrant community striving for more than yesterday, every day.- Explore Our Thematic Learning Areas:- Data Science: Unravel the power of data.- Artificial Intelligence: Step into the future.- Digital Marketing: Master the digital marketplace.- Smart Working: Revolutionize your work ethic.- IT & Software Development: Build the next big thing.- Join Us on a Journey of Endless ProgressWith MASO CAMPUS, you’re not just learning; you’re transforming. Ready to take the leap?-----------------------------------------------------------------------------------"어제보다 성장하겠습니다. 그리고, 어제보다 성장하려는 사람을 돕겠습니다."마소캠퍼스의 진심과 소망을 담은 Actionable Content로, 2013년부터 온오프라인으로 함께해 온 누적 강의 1억시간.10년 동안 각종 기업, 국가기관, 대학 등지에서꾸준히 사랑받고 있는 디지털 전환(Digital Tranceformation)강의들.이 소중한 경험과 시간은 언제나 마소캠퍼스와 수강생 모두의 성장의 원천입니다. 마소캠퍼스 팀은 우리의 모두의 성장을 위해 두 가지 원칙을 반드시 지킵니다. 1. 배우면 반드시 쓸 수 있는 Actionable Content 2. 참여자의 시간과 수고를 존중하는 Time-Saving Curriculum 마소캠퍼스의 Actionable and Time-Saving Curriculum으로 성장의 길을 함께 걸어나가길 기원합니다.마소캠퍼스의 강의는 아래 5가지 주제 영역 중심으로 강의를 제공하고 있습니다.- 데이터 사이언스- 인공지능- 디지털 마케팅- 스마트워킹- IT 일반 및 소프트웨어 개발귀하의 무궁한 발전을 기원합니다.

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