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Module 1
Introduction to Data Analysis
Overview of the field of data analysis
Analysis using spreadsheets (Excel, Google Sheets, etc.)
Basic data manipulation and cleaning techniques
Capstone Project: Analyze a small data set using spreadsheet software to answer specific business questions
Module 2
Python Fundamentals
Introduction to Python and Jupyter Notebook
Basic programming concepts, data types and control structures
Python libraries and modules
Capstone Project: Use Python to perform basic data manipulations, write simple scripts and create visualizations
Module 3
Exploratory Data Analysis with Python
Data manipulation and cleaning using Python libraries (Pandas, Numpy)
Data visualization using Python libraries (Matplotlib, Seaborn)
Capstone Project: Use Python to perform exploratory data analysis on a larger data set and create visualizations to answer specific business questions
Module 4
Basic Statistics
Measures of central tendency, measures of variability, and probability
Introduction to hypothesis testing and statistical inference
Capstone Project: Use basic statistical techniques to analyze a data set and draw conclusions about the data
Module 5
SQL
Introduction to SQL and relational databases
Basic SQL commands and queries
Capstone Project: Use SQL to extract and analyze data from a relational database
Module 6
Dashboarding using Tableau
Introduction to Tableau and its interface
Creating visualizations, charts, and dashboards using Tableau
Capstone Project: Create a dashboard using Tableau to answer specific business questions and communicate insights to stakeholders
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