| Unit 1 Introduction {Book} | ||
| Business analytics | VIEW | VIEW |
| Historical Overview of Data analysis | VIEW | |
| Data Scientist vs. Data Engineer vs. Business Analyst | VIEW | |
| Career in Business Analytics | VIEW | |
| Data science, Why Data Science, Applications of Data science | VIEW | |
| Data Scientists Roles and Responsibility | VIEW | |
| Unit 2 Data Analysis {Book} | ||
| Data Collection | VIEW | VIEW |
| Data Classification | VIEW | |
| Data Management | VIEW | |
| Big Data Management | VIEW | |
| Organization/Sources of data | VIEW | |
| Importance of Data quality | VIEW | |
| Dealing with Noisy data | VIEW | |
| Dealing with missing or incomplete data | VIEW | |
| Outlier Analysis, Methods to Deal outlier | VIEW | |
| Data Visualization | VIEW | |
| Unit 3 Data Science Project Life Cycle {Book} | ||
| Data Science Project Life Cycle | VIEW | |
| Business Requirement, Data Acquisition, Data Preparation | VIEW | |
| Data Hypothesis | VIEW | VIEW |
| Data Modeling | VIEW | VIEW |
| Data Evaluation and Interpretation | VIEW | |
| Data Deployment, Operations, Optimization | VIEW | |
| Unit 4 Introduction to R and Visualization of Data {Book} {No Update} | |
| R graphical user interfaces | VIEW |
| Data import and export | VIEW |
| Attribute and data types | VIEW |
| Descriptive statistics | VIEW |
| Exploratory data analysis | |
| Visualization before analysis | VIEW |
| Analytics for unstructured data | VIEW |
| Visualization of Categorical Data in R: | VIEW |
| Bar Chart Simple, Bar Chart with Multiple Response Questions, Column Chart with two-line labeling, Column chart with 45o labeling, Profile Plot, Dot Chart for 3 variables, Pie Chart and Radial Diagram, Chart Tables. | VIEW |
| Unit 5 Application of Business Analysis {Book} | |
| Application of Business in Analysis Retail Analytics | VIEW |
| Marketing Analytics | VIEW |
| Application of Business Analysis in Financial Analytics | VIEW |
| Application of Business Analysis in Healthcare Analytics | VIEW |
| Application of Business Analysis in Supply Chain Analytics | VIEW |
unit 4 upload please