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Cursor Insert India
Data Processing and Visualization
Data Processing and Visualization
Course Description
Module 1: Introduction to Data Processing and Visualization
- Importance of Data Processing & Visualization
- Data Types and Structures (Structured, Unstructured, Semi-Structured)
- Applications in Business, Science, and Technology
- Overview of Popular Tools (Excel, Python, R, Tableau, Power BI, etc.)
Module 2: Data Collection and Preprocessing
- Data Sources (APIs, Databases, CSV, JSON, Web Scraping)
- Data Cleaning Techniques
- Handling Missing Values
- Removing Duplicates
- Handling Outliers
- Standardization & Normalization
- Data Transformation (Aggregation, Pivoting, Merging, Reshaping)
- Feature Engineering Basics
Module 3: Introduction to Python/R for Data Processing
- Setting up Python/R for Data Analysis
- Introduction to Pandas, NumPy (Python) / dplyr, tidyr (R)
- Data Wrangling and Manipulation
- Working with Large Datasets
Module 4: Data Processing Techniques
- Exploratory Data Analysis (EDA)
- Data Filtering & Sorting
- Grouping and Aggregation
- Data Integration and Transformation
- Working with Time Series Data
Module 5: Introduction to Data Visualization
- Importance of Data Visualization
- Principles of Effective Visualization
- Choosing the Right Chart for the Right Data
- Introduction to Visualization Libraries:
- Python: Matplotlib, Seaborn, Plotly
- R: ggplot2, plotly
- Business Intelligence (BI) Tools: Tableau, Power BI
Module 6: Basic Visualization Techniques
- Line Charts, Bar Charts, Pie Charts
- Scatter Plots & Histograms
- Box Plots & Heatmaps
- Dual-Axis Charts & Area Charts
Module 7: Advanced Visualization Techniques
- Interactive Dashboards
- Geospatial Data Visualization (Maps)
- Tree Maps & Sunburst Charts
- Word Clouds & Network Graphs
- 3D Visualization
Module 8: Time Series and Statistical Visualization
- Time Series Analysis and Forecasting
- Trend Analysis & Anomaly Detection
- Regression and Correlation Plots
- Statistical Distributions & Probability Density Functions
Module 9: Business Intelligence Tools (Tableau & Power BI)
- Data Connection & Integration
- Creating Interactive Dashboards
- Filters, Parameters, and Calculations
- Storytelling with Data
Course Syllabus
1: Introduction to Data Processing and Visualization
2: Data Collection and Preprocessing
3: Introduction to Python/R for Data Processing
4: Data Processing Techniques
5: Introduction to Data Visualization
6: Basic Visualization Techniques
7: Advanced Visualization Techniques
8: Time Series and Statistical Visualization
9: Business Intelligence Tools (Tableau & Power BI)
Duration: 6 Months
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