Draw Conclusions
Data Analytics
Big Data Environment
Aligning Visuals with Data Insights
Interpretations
The Significance of Data in Business
Evaluating Data through Statistical Analysis
Utilizing Data Effectively
Data Analytics 
Data Analytics is the process of examining data sets to
draw conclusions about the information they contain
...
Big Data Environment 
Data Analytics Data analytics involves examining datasets to
draw conclusions about the information they contain
...
Aligning Visuals with Data Insights 
showing proportions Heat maps for displaying data density Utilizing Color Effectively: Color can be used to
draw attention to key insights, differentiate data sets, or indicate performance levels
...Misinterpretation: Poorly designed visuals can lead to misunderstandings and incorrect
conclusions ...
Interpretations 
Here are some commonly used methods: Statistical Analysis: Applying statistical methods to analyze data and
draw conclusions ...
The Significance of Data in Business 
The Role of Data Analytics Data analytics involves examining datasets to
draw conclusions about the information they contain
...
Evaluating Data through Statistical Analysis 
Interpret Results:
Draw conclusions from the analysis and relate them to the business context
...
Utilizing Data Effectively 
2 Statistical Analysis Statistical methods are employed to analyze data and
draw conclusions ...
Analyzing Trends through Statistical Methods 
Inferential Statistics Inferential statistics allow businesses to
draw conclusions about a population based on sample data
...
Streamlining Processes with Data Analysis 
Analysis Data analysis refers to the systematic computational examination and interpretation of data to discover patterns,
draw conclusions, and support decision-making
...
Evaluation 
Analyze Data: Use statistical techniques and qualitative analysis to interpret the data and
draw conclusions ...
Selbstständig machen z.B. nebenberuflich!
Der Trend bei der Selbständigkeit ist auf gute Ideen zu setzen und dabei vieleich auch noch nebenberuflich zu starten - am besten mit einem guten Konzept ...