Data Analysis Process: A Step-by-Step Guide
A comprehensive guide to the five key stages of the data analysis process, from defining the question to sharing the results.
Program Modules
Step 1: Defining the Question
Learn how to define your objective in data analytics terms, including forming a problem statement and hypothesis. Be aware of confirmation bias.
Define the Question Routine
WeeklyA routine to practice defining data analysis questions effectively.
“The first step in your data analysis process or any data analysis process is to define your objective.”
Step 2: Collecting the Data
Discover strategies for collecting and aggregating data, including identifying the different types of data (first, second, and third party). Watch out for Selection Bias!
Data Collection Practice
WeeklyPractice identifying and collecting different types of data.
“Once you've established your objective you'll need to create a strategy for collecting and aggregating the appropriate data.”
Step 3: Cleaning the Data
Master the art of cleaning and scrubbing data to ensure you're working with high-quality information. Beware of the Observer Effect when cleaning!
Data Cleaning Exercise
WeeklyA hands-on exercise to clean and scrub a sample dataset.
“Once you've collected your data the next step is to get it ready for analysis this means cleaning or scrubbing it and this is crucial to make sure that you're working with high quality data.”
Step 4: Analyzing the Data
Explore various data analysis techniques, including univariate, bivariate, time series, and regression analysis. Stay aware of Survivorship Bias!
Data Analysis Techniques Practice
WeeklyApply different data analysis techniques to a given dataset.
“Finally once you've cleaned your data now comes the fun bit analyzing it the type of data analysis you conduct largely depends on what your goal is”
Step 5: Sharing Your Results
Learn how to interpret and present your findings in a clear and digestible manner to stakeholders. Be mindful of Framing Effects and Loss Aversion to present it as a gain!
Presenting Data Insights
WeeklyPractice presenting data insights to stakeholders.
“The final step of a data analysis process is to share these insights with the wider world or at least with your organization's stakeholders.”
What You'll Accomplish
- Understand the five key stages of the data analysis process.
- Define a clear objective and formulate a problem statement.
- Collect and aggregate appropriate data from various sources.
- Clean and scrub data to ensure high quality.
- Apply different data analysis techniques.
- Interpret and present findings effectively to stakeholders.
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