Data Analytics in the Cloud: AWS S3, Python & StreamLit Practical Skills Bootcamp ( DA PSBA L1 )

1. Overview

Unlock the power of data analytics with this handson, practical bootcamp! Over the course of 1 month, you’ll transform raw eCommerce event data into actionable insights using Python . This course is designed for beginners and intermediate learners looking to enter the field of data analytics.

You’ll work with a rich dataset capturing user behaviour on an eCommerce platform, such as product views, cart additions, and purchases. Through the bootcamp, you’ll analyse purchase patterns, perform user segmentation, evaluate product performance, uncover valuable business insights. By the end, you’ll develop an interactive Streamlit dashboard to visualize and present your findings in a compelling way.

2. What You’ll Learn:

• Load and Clean Large Datasets in Python
• Exploratory Data Analysis (EDA) Techniques
• User Behaviour Analysis
• Product and Pricing Trend Analysis
• Customer Lifetime Value (CLV) Calculation
• Session Based Analysis
• Build Interactive Dashboards with Streamlit
• Data Transformation and Feature Engineering
• Use AWS S3 for Data Storage and Retrieval
• Generate Business Insights from Real World Data

3. Business KPIs & Metrics:

• Purchase Conversion Rate
• Customer Lifetime Value (CLV)
• Repeat Purchase Rate
• Product Popularity and Performance
• Price Sensitivity Analysis
• Session Duration and Engagement

4. Why This Bootcamp is Different

• No Prerecorded Videos: All sessions are live and interactive, with expert mentors guiding you through real world scenarios.
• Hands on Learning: Focused on building a real world data pipeline, where you’ll ingest data, transform it, and store it in AWS S3, just like in a big tech company.
• End to End Project: From data ingestion to pipeline orchestration, you’ll learn by actually doing every step of a data engineer’s workflow.
• Mentor Support: Daily live sessions and Realtime problem solving with industry experts to help you tackle challenges as they arise.
• Collaboration & Networking: Collaborate with fellow aspiring data engineers, present your work, and get valuable feedback in a supportive environment.
• Practical Skills, Not Just Theory: You’ll complete a real project using cloud platforms, orchestration tools, and data engineering best practices, making you job ready by the end of the course.

5. Real World Benefits :

• Gain practical experience working with real world eCommerce data.
• Build a Streamlit dashboard to present your insights and findings.
• Understand user behaviour, product performance, and pricing trends in real world business scenarios.
• Develop skills in data preprocessing, feature engineering, and predictive modelling.
• Learn to manage cloud data with AWS S3, a critical skill for handling large datasets in industry.
• Use Python and SQL in combination to perform high level data analysis used in real jobs.

6. Tools & Technologies

Python: The primary language for data analysis.

Pandas: For data manipulation and exploratory data analysis.

 Jupyter Notebooks: Quick Analysis

AWS S3: For cloud based data storage.

Streamlit: For building Realtime, interactive dashboards.

Bootcamp Structure:

• Duration: 1 month

• Live Sessions: 1-hour live mentoring sessions on weekdays (3 days a week)
• Prerequisites: Python

In this bootcamp, you’ll not only learn data analytics but also experience how it translates into real world business outcomes. Whether you’re looking to break into data analytics or enhance your current skills, this course provides practical, Handson learning that will prepare you for a career in the field. Join us to start analysing data, deriving insights, and making data driven decisions.