A Data Scientist needs expertise in various fields, including:
- Machine Learning
- Statistics
- Programming (Python or R)
- Mathematics
- Databases
The role of a Data Scientist involves identifying patterns within data. However, before finding these patterns, they must first organize the data into a standardized format.
Here’s how a Data Scientist works:
- Ask the right questions – To understand the business problem.
- Explore and collect data – From sources like databases, web logs, and customer feedback.
- Extract the data – Transform the data into a standardized format.
- Clean the data – Remove erroneous or irrelevant values.
- Handle missing values – Check for and replace missing data with appropriate values (e.g., averages).
- Normalize data – Scale values into a consistent range (e.g., converting units for accurate comparisons).
- Analyze data – Identify patterns and make future predictions.
- Present the results – Communicate insights in a way that is understandable and actionable for the company.
Where to Start?
In this tutorial, we will begin by explaining what data is and how it can be analyzed.
You will learn how to apply statistics and mathematical functions to make predictions.
