This repository contains all the resources, code, and materials used in our technical training program on data analytics.
Welcome to the Data Analytics Course repository! This repository contains all the resources, code, and materials used in our technical training program on data analytics. Whether you're a beginner or an aspiring data analyst, this course will guide you through the essential concepts, tools, and techniques needed to analyze and visualize data effectively.
- Introduction to Data Analytics β Understanding data, importance, and real-world applications
- Python for Data Analysis β NumPy, Pandas, and data manipulation techniques
- Data Cleaning & Preprocessing β Handling missing values, duplicates, and outliers
- Exploratory Data Analysis (EDA) β Statistical analysis, visualization, and insights
- Working with CSV & Databases β Reading, writing, and modifying datasets
- Data Visualization β Matplotlib, Seaborn, and interactive dashboards
- Students & Beginners interested in data analytics
- Professionals looking to upskill in Python & Data Science
- Anyone eager to explore real-world data analysis
Feel free to contribute, raise issues, or suggest improvements. Letβs build a strong data analytics learning community! ππ