From Raw Data to Prediction: A Beginner’s Guide to the Data Science Workflow

Meta Description: Learn why Exploratory Data Analysis (EDA) is the most critical step before machine learning. This beginner-friendly guide explains univariate analysis, correlation heatmaps, outlier detection, visualization tools, and real dataset examples. Tags: Data Science, Exploratory Data Analysis, Machine Learning Workflow, Python, Pandas, Data Visualization, Student Portfolio, AIML Workflow Guide Written by Priyadeb Barman | 3rd-Year  (6th Semester)  B.Tech Computer Science and Business Systems Student at Academy of Technology,  Maulana Abul Kalam Azad University of Technology, West Bengal. Figure: Exploratory Data Analysis helps transform raw datasets into structured insights before machine learning modeling. Imagine you are trying to find your way around a city without a map. You will probably get. Waste a lot of time. It is similar when you apply machine learning to data without understanding it. Many people who are just starting out in data science jump in...

  Meta Description: Learn how raw data becomes real-world predictions through the Data Science workflow. A beginner-friendly guide covering data collection, cleaning, analysis, modeling and deployment with examples. Tags:  Data Science, Machine Learning, Python, Student Project, Predictive Modeling Written by Priyadeb Barman | 3rd-Year  (6th Semester)  B.Tech Computer Science and Business Systems Student at Academy of Technology,  Maulana Abul Kalam Azad University of Technology, West Bengal                           Figure: Overview of the Data Science workflow from raw data to prediction. E very day the world generates a lot of data. We see this data when we watch movies on streaming platforms when we use navigation apps to find our way and when we check the air quality before we go outside.. Have you ever wondered how this data is used to make our lives easier? It is all thanks to Data Science. ...