Data Literacy - An Ultimate Guide to Digital transformation

[OneDDL]

Free Download Data Literacy - An Ultimate Guide to Digital transformation
Published 1/2024
Created by 마소캠퍼스 Masocampus
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 54 Lectures ( 3h 4m ) | Size: 1.55 GB

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.
Requirements:
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.
Description:
Data Turned into Money!"Would you like a receipt?""No, just throw it away~"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?'Data' 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 LiteracyIn 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 GuideSTEP 1. Building a solid foundation from data concepts to data-driven decision-makingEven for those unfamiliar with the term 'data,' 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 wayDo you need to know programming languages like Python or R to analyze data?Not at all!We'll teach you how to 'properly' 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
Homepage

[To see links please register or login]

Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live

[To see links please register or login]

No Password - Links are Interchangeable