A complete Data Analytics project featuring dataset understanding, data cleaning, exploratory data analysis (EDA), data visualization, and business insights datasets using Pandas, NumPy, and Matplotlib.
# π AnalystLab Africa Data Analytics Internship Portfolio
## π About This Repository
This repository contains all projects completed during my **Data Analytics Internship at AnalystLab Africa (Batch B)**.
Throughout this internship, I will work on real-world datasets and complete practical tasks covering the complete Data Analytics workflow, including:
* Dataset Understanding
* Data Cleaning & Preprocessing
* Exploratory Data Analysis (EDA)
* Data Visualization
* SQL Data Analysis
* Business Intelligence
* Dashboard Development
* Business Insights & Reporting
The repository will be updated every week as new internship tasks are completed.
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# π Technologies Used
* Python
* Pandas
* NumPy
* Matplotlib
* Jupyter Notebook
* SQL
* MySQL
* Power BI *(Upcoming)*
* Excel
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# π Internship Progress
| Week | Topic | Status |
| -------- | ----------------------------------------- | :---------: |
| Week 1β2 | Data Cleaning & Exploratory Data Analysis | β
Completed |
| Week 3 | Coming Soon | β³ |
| Week 4 | Coming Soon | β³ |
| Week 5 | Coming Soon | β³ |
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# β
Week 1β2: Data Cleaning & Exploratory Data Analysis
## Objective
The objective of this project was to clean, validate, explore, and visualize real-world datasets while applying professional data preprocessing techniques.
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## Datasets
### πΊ Netflix Movies & TV Shows Dataset
Analysis included:
* Dataset Understanding
* Missing Value Handling
* Duplicate Removal
* Data Standardization
* Exploratory Data Analysis
* Data Visualization
* Business Insights
### π Online Retail Dataset
Analysis included:
* Dataset Understanding
* Data Cleaning
* Revenue Analysis
* Customer Analysis
* Product Performance
* Monthly Sales Trend
* Data Visualization
* Business Insights
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# π Project Workflow
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Dataset Collection
β
βΌ
Dataset U β¦