Python Training in Abuja Nigeria

Programme Description

This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

You will learn how to:

Import data sets
Clean and prepare data for analysis
Manipulate pandas DataFrame

Summarize data
Build machine learning models using scikit-learn
Build data pipelines

Course Content

Module 1 - Importing Datasets

Learning Objectives
Understanding the Domain
Understanding the Dataset
Python package for data science
Importing and Exporting Data in Python
Basic Insights from Datasets

Module 2 - Cleaning and Preparing the Data

Identify and Handle Missing Values
Data Formatting
Data Normalization Sets
Binning
Indicator variables

Module 3 - Summarizing the Data Frame

Descriptive Statistics
Basic of Grouping
ANOVA
Correlation
More on Correlation

Module 4 - Model Development

Simple and Multiple Linear Regression
Model Evaluation Using Visualization
Polynomial Regression and Pipelines
R-squared and MSE for In-Sample Evaluation
Prediction and Decision Making

Module 5 - Model Evaluation

Model Evaluation
Over-fitting, Under-fitting and Model Selection
Ridge Regression
Grid Search
Model Refinement

Duration: 2 – 4 weeks

ENROLL NOW

Data science, data analysis, data analytics

Programme Description

Course Content

Module 1 - Importing Datasets

Module 2 - Cleaning and Preparing the Data

Module 3 - Summarizing the Data Frame

Module 4 - Model Development

Module 5 - Model Evaluation

Duration: 2 – 4 weeks

Qlik

STATA

R for Data Analysis

Python Training in Abuja Nigeria

Programme Description

Course Content

Module 1 - Importing Datasets

Module 2 - Cleaning and Preparing the Data

Module 3 - Summarizing the Data Frame

Module 4 - Model Development

Module 5 - Model Evaluation

Duration: 2 – 4 weeks

Related Projects

Qlik

STATA

R for Data Analysis