Introduction to Data Analytics for Beginners
This beginner-friendly tutorial series takes you step by step through the complete data analytics process. You will learn how to work with real-world business data, apply practical analysis techniques, and present your findings in a way that drives business impact.
Module 1: Introduction to Data Analytics & Data Collection
Learn why data analytics matters, how it drives business success, and how to collect real-world data using platforms like Kaggle. You’ll download and explore the Amazon Sales Dataset, which forms the foundation for your portfolio project.
Module 2: Data Cleanup
Discover how to clean raw data by identifying and fixing missing values, removing duplicates, and applying simple Google Sheets functions to prepare your dataset for analysis.
Module 3: Statistical Analysis
Understand how to apply basic statistical techniques such as mean, median, standard deviation, and correlation to uncover trends in your dataset and interpret sales performance.
Module 4: Exploratory Data Analysis (EDA)
Use sorting, filtering, Pivot Tables, and lookup functions to explore your data, identify patterns, and gain deeper business insights.
Module 5: Data Visualization
Learn how to present your data effectively using bar charts, line graphs, histograms, and geo-maps in Google Sheets. You’ll also build a simple dashboard to summarize key performance indicators.
Module 6: Business Storytelling with Data
Discover why storytelling is critical for data analysts. You’ll learn how to structure your analysis and present insights in a way that informs decisions and creates business impact.
Module 7: AI Tools for Data Analytics
Explore how tools like ChatGPT for Data Analytics can help you work smarter. You’ll see how AI can assist with analysis, automate tasks, and generate insights faster — a vital skill for modern analysts.
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