Courses in Data Analysis with Python Online may include subjects such as Data Sets and Data Wrangling & Data Analysis, Importing Data Sets and Exploratory Data Analysis.
Online and offline computer courses are available in CITC Register Nowfor a discount.
Course Modules/Papers
Data Sets and Data Wrangling and Data Analysis
Model Development, Evaluation and Refinement
Course Syllabus
Data Sets, Data Wrangling and Data Analysis Importing Data Sets
Meaning of Data
How to use libraries in Python to import data from Multiple Sources
Analysis of Imported Data Set
Data Wrangling
Performing data wrangling tasks (like handling missing values in data, normalizing data, grouping data values into bins and converting categorical variables into numerical quantitative variables)
Meaning of Exploratory Data Analysis
Statistical Calculations such as Mean, Median, Mode and Quartile values
Using Pearson correlation method to compare two continuous numerical variables
Using the Chi-Square test to find the association between two categorical variables
Model Development, Evaluation and Refinement Model Development
Define Explanatory and Response variable
Interpretation and use of R-squared and Mean-square Errors measures to perform evaluations
