As for the 1st month from data analysis using python road map, you will lean basics of python and libraries required to do any form on data analytics. These projects are both diverse in the kind of data and problems they cover, giving students exposure to different use cases using actual datasets and promoting their analytical skills. Every week represents a new project and is designed to practice data cleaning, visualization, and exploratory data analysis (EDA) skills. This is a summary from the first month.
Project Week 1: Exploratory Data Analysis of Titanic Dataset
Introduction The Titanic Dataset is quite famous among the data analysis aficionados as a kickstart project. This week we are performing Exploratory Data Analysis (EDA) to determine survival trends among the passengers. This dataset also offers lots of socio-demographic information like age, sex in addition to class and family.
Week 2: Sales Data Analysis
This week, the focus will be on evaluating sales data. This will involve manipulating monthly sales figures to extract metrics like total revenue, average order size and month-by-month performance. This project focuses on business analytics, you will learn how to summarize and interpret sales data.
Week 3: Weather Data Analysis
Introducing you to week 3 of Weather time-series analysis Time-series analysis is essential for the detection of trends and changes over time, like in temperature variations & seasonal patterns. It is going to be your small project for improving work on time series and understanding temporal patterns.
Week 4: Conducting Customer Segmentation Analysis
Finally, the last week will cover customer segmentation strategies, a bedrock in marketing and business analytics. When you study customer demographic information, you can figure out how to divide the customers into different groups according to age, income etc.
Project Submission Instructions
- Upon completing the projects, you will need to upload a video or some snapshots about your work on LinkedIn in certain time durations. Don’t forget to tag the official BiStartX LinkedIn page. Check out our profile here: BiStartX
- For Submission Links: once you have uploaded your projects, copy the link of LinkedIn post and GitHub repos in submission form. Ensure both links are public so we can easily validate your submissions.
- This is a final submission — once you have finished with all of your projects, submit the form.
Project Requirements
- Take at least 3 assigned projects to earn your Internship Completion Certificate
- The Letter of Recommendation requires 4 projects to be completed at a minimum.
- Completing 4 projects is mandatory to earn swag & other additional rewards — you must finish all the available shifts with them.
