2. Learning
objectives
1. What are the components of the modern
data ecosystem.
2. Differentiate between data engineer, data
analyst, data scientist, business analyst,
business intelligence analyst.
3. What are different types of data analysis.
4. What are the key steps in data analysis
process.
5. What are the role, responsibilities, and
skillsets required for the data analyst.
3. Be Careful!!!
• This course preparing for a
junior data analyst.
• There is a demand vs supply
mismatch.
20. Data Analyst Responsibilities
Acquiring data from primary and secondary data sources.
Creating queries to extract required data from databases and other data collection systems
Filtering, cleaning, standardizing, and reorganizing data in preparation for data analysis
Using statistical tools to interpret data sets
Using statistical techniques to identify patterns and correlations in data
Analyzing patterns in complex data sets and interpreting trends
Preparing reports and charts that effectively communicate trends and patterns
Creating appropriate documentation to define and demonstrate the steps of the data analysis process.
