Analyzing Data with Python Training

Live Online & Classroom Enterprise Training

In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

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What is Analyzing Data with Python Training about?

Learn how to analyze data using Python in this introductory course. You will go from understanding the basics of Python to exploring many different types of data through lecture, hands-on labs, and assignments. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!

What are the objectives of Analyzing Data with Python Training ?

How to import data sets, clean and prepare data for analysis, summarise data, and build data pipelines
Use Pandas DataFrames, Numpy multidimensional arrays, and SciPy libraries to work with various datasets
Load, manipulate, analyse, and visualise datasets with pandas, an open-source library
Build machine-learning models and make predictions with scikit-learn, another open-source library

Who is Analyzing Data with Python Training for?

This training is for learners who want to get involved in Analysing and data visualisation. Identifying patterns, trends and outliers in large data sets is easier.

What are the prerequisites for Analyzing Data with Python Training?

None

Available Training Modes

Live Online Training

10 Hours

Self-Paced Training

10 Hours

Course Outline Expand All

Expand All

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 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

Who is the instructor for this training?

The trainer for this Analyzing Data with Python Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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