Hey there and welcome back. We are now starting Phase 1 which is all about planning for analytics. Earlier in Phase 0 we talked about why we are building a custom website analytics system for SankalandTech.com. That was our starting point. Now it is time to zoom out and look at the full project. Like planning a road trip you would want to see the whole route before you begin. You would want to know where you are going what stops you will make and what the final destination looks like.
This phase gives us that big picture. We will move from simply tracking user behavior to predicting it and then turning those insights into something meaningful and visual.
The goal is simple
We want to turn every visit to SankalandTech.com into useful insights. The more we understand our users the better we can make this platform for people who want to learn tech.
This is not just a basic report or third party tool. We are building our own full analytics system from scratch. It is custom made and tailored for our needs. Here is a breakdown of each part.
What it does
This is a small JavaScript script that we will place on every page of SankalandTech.com. When someone visits a page it quietly records what they are doing. It captures details like which page they visited what time they arrived what they clicked and basic device and browser info.
Tool
JavaScript
Why we chose it
JavaScript works on every browser. It is simple fast and gives us full control over what we want to collect. We do not need to rely on heavy external tools.
What it does
This is the part that receives all the raw tracking data from our website. It cleans the data organizes it and prepares it to be stored. Think of it like a smart middleman that makes raw data ready for analysis.
Tool
Python with Flask
Why we chose it
Python is flexible and widely used in data work. Flask is a lightweight web framework that lets us easily build the API that receives and processes our data. It is simple and powerful at the same time.
What it does
This is where we store everything we collect. It is a structured safe and reliable place to keep user data in an organized format.
Tool
Microsoft SQL Server
Why we chose it
You are already comfortable with SQL Server. It is powerful fast and commonly used in the industry. With Azure SQL Database we can even host it online for free which makes the project real and shareable.
What it does
This part looks at the stored data and finds patterns. It answers important questions like what content users love what they skip and where they get stuck. It helps us understand the full story behind the numbers.
Tool
Python using data analysis libraries
Why we chose it
Python has strong tools for working with data such as Pandas and NumPy. They make it easy to explore large amounts of data and find insights quickly.
What it does
This is where we bring in machine learning. We will build models that can predict things like which users might bounce what content they might enjoy and what type of user behavior to expect next.
Tool
Python with machine learning libraries
Why we chose it
Python is the top choice for building machine learning models. With tools like Scikit learn we can train and test smart models that help us plan ahead and personalize user experience.
What it does
This is the final piece. It pulls together all the data and insights into one easy to use dashboard. Here we can see charts trends and key stats about how the site is doing. It is like the control room for SankalandTech.com.
Tool
Python with Streamlit Matplotlib and Seaborn
Why we chose it
Streamlit lets us build full dashboards using only Python. No need to learn front end tools. It is fast and flexible. When we combine it with Matplotlib and Seaborn we can make clear useful visuals that are great for showing progress to others or even recruiters.
This is not just a coding project. It is a smart system with real outcomes. Here is what we aim to achieve:
We want to go beyond visit counts. We will see how users move through the site what content holds their attention and what might be confusing.
By checking how people engage with tutorials we will know which ones are doing great and which ones may need updates or better examples.
The insights we gather will guide design improvements navigation tweaks and other user experience upgrades.
With a clear understanding of our audience and their interests we can plan new content that meets their needs and brings in new visitors.
This project shows that you can build a full analytics system from the ground up. From JavaScript tracking to machine learning insights to live dashboards this covers all the key skills in modern analytics roles.
This entire journey is built step by step. Each part leads to the next and builds your skills as you go. In the end we will have a working analytics system that brings real value to SankalandTech.com and helps you grow as a full stack data and analytics professional.
Let us keep moving forward. The next phase will bring us even closer to our goal.
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