Data Analytics, what is it?
Analyzing raw data to find trends
Why should I learn this?
A broad field that can be applied to basically any scenario that has some form of data
80,000 jobs in the US with a quick search on Indeed
Demand for data science skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a slower pace. It's a great time to be a data scientist entering the job market
More employers than ever are looking to hire data scientists.
CAGR of 30.08% during 2017-2023
How is it applied?
- Data mining
Extracting data from unstructured data sources
Ex. written text, large complex databases, or raw sensor data
extract, transform and load data (often called ETL.)
- Data management
Designing and implementing databases that allow easy access to the results of data mining. This step generally involves creating and managing SQL databases
- Statistical analysis
Heart of data analytics
Create statistical models that reveal trends in data. These models can then be applied to new data to make predictions and inform decision making. Statistical programming languages such as R or Python (with pandas) are essential to this process.
- Data presentation
An essential step that allows insights to be shared with stakeholders. Data visualization is often the most important tool in data presentation. Compelling visualizations are essential to telling the story in the data which may help executives and managers understand the importance of these insights.
Important skills:
Python
SQL (Structured Query Language)
Data Visualization Skills
Types of jobs:
IT Systems Analyst
Healthcare Data Analyst
Operations Analyst
Data Scientist
Data Engineer
Quantitative Analyst
Data Analytics Consultant
Digital Marketing Manager
Project Manager
Transportation Logistics Specialist
Average Salary:
Around 100K salaries (anywhere from 80 to 120K)