Training Course: Introduction to Data

 Introduction

Course Objectives of Introduction to Data

1.  Posing a question
2.  Wrangling your data into a format you can use and fixing any problems with it
3.  Exploring the data, finding patterns in it, and building your intuition about it
4. Drawing conclusions and/or making predictions
5. 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