Learn Essential Data Skills : Data Science, Data Analysis, Data Visualization, Web Scraping, Excel, Google Analytics
Data Turned into Money!
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..
Course Content
- Setting up the practical environment –> 3 lectures • 4min.
- Mega Trends & Cases –> 2 lectures • 12min.
- Decision-Making and Data –> 4 lectures • 12min.
- Data Literacy –> 1 lecture • 2min.
- What is Data? –> 3 lectures • 9min.
- Data Planning Literacy –> 7 lectures • 20min.
- Data collection literacy –> 5 lectures • 15min.
- Data Management Literacy –> 2 lectures • 12min.
- Data Processing Literacy –> 3 lectures • 9min.
- Data Analysis Literacy –> 1 lecture • 4min.
- Descriptive Statistics –> 8 lectures • 34min.
- Business Analysis –> 5 lectures • 18min.
- Service Analysis –> 3 lectures • 8min.
- Data Visualization Literacy –> 4 lectures • 17min.
- Data-Driven Business Strategy –> 2 lectures • 5min.
- Data Literacy –> 1 lecture • 5min.
Requirements
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 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 ‘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 way
Do 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.