About
Data Analytics Duration: 8 Weeks Overview: Covers data collection, analysis, visualization, and the application of analytical techniques. Week 1: Introduction to Data Analytics Data types, data collection methods, and data processing. Assessment: Quiz on data analytics concepts. Week 2: Data Preparation & Cleaning Data cleaning techniques, handling missing data. Assessment: Clean a sample dataset. Week 3: Exploratory Data Analysis (EDA) Descriptive statistics, data visualization, and summary statistics. Assessment: Perform EDA on a dataset. Week 4: Statistical Analysis Hypothesis testing, probability distributions, correlation. Assessment: Apply statistical analysis to a dataset. Week 5: Data Visualization Data visualization tools (e.g., Tableau, Excel), creating graphs and charts. Assessment: Create visualizations for a dataset. Week 6: Predictive Analytics Introduction to regression models and machine learning concepts. Assessment: Build a simple regression model. Week 7: Data Interpretation & Decision Making Analyzing results and making data-driven decisions. Assessment: Interpret the results of a predictive model. Week 8: Big Data & Data Analytics Tools Overview of Big Data, tools like Hadoop, Spark. Assessment: Research Big Data tools and their applications. Assessments Projects: 50% Final Project: 30% Quizzes/Participation: 20%