Introduction
Data Analysis Using Python, Mysql, NumPy, Pandas. This course will introduce you to the world of data analysis. You'll learn how to go through the entire data analysis process
Course Objectives of Introduction to Data
- Posing a question
- Wrangling your data into a format you can use and fixing any problems with it
- Exploring the data, finding patterns in it, and building your intuition about it
- Drawing conclusions and/or making predictions
- Communicating your findings
Course Outlines of Introduction to Data
Day 1: Problems Solved by Data Analysts
- Questions about Student Data Solution
- Investigating the Data
- Problems in the Data
- Missing Engagement Records
Day 2: Debugging Data Analysis Code
- Making Histograms
- Predicting Based on Many Features
- Improving Plots and Sharing Findings
Day 3: NumPy
- One-Dimensional Data in NumPy
- Two-Dimensional NumPy Arrays
- NumPy Arrays
- Vectorized Operations
- Multiplying by a Scalar
- Standardizing Data
Day 4: Pandas
- Pandas Series
- Filling Missing Values
- Plotting in Pandas
Day 5: Statistics
- Mean, Median and Mode
- Standard Variation, Error mean
- Calculating Correlation
