Data Analysis with Python Training

Live Online & Classroom Enterprise Training

Data Analysis with Python equips learners with practical skills to collect, clean, analyze, and visualize data using Python libraries. The course focuses on real-world datasets and analytical thinking to derive insights that support data-driven decision-making.

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What is Data Analysis with Python Training about?

This course provides a comprehensive introduction to data analysis using Python. Learners will explore data manipulation, statistical analysis, and visualization techniques using industry-standard libraries. By the end of the course, participants will be able to transform raw data into meaningful insights and present findings effectively.

What are the objectives of Data Analysis with Python Training ?

Understand the data analysis lifecycle
Perform data cleaning and preprocessing
Analyze datasets using Python libraries
Create meaningful data visualizations
Interpret and communicate data insights

Who is Data Analysis with Python Training for?

Aspiring data analysts
Business and operations professionals
Students in STEM or commerce fields
Software developers transitioning to data roles
Professionals seeking data-driven skills

What are the prerequisites for Data Analysis with Python Training?

Prerequisites:

Basic understanding of programming concepts
Familiarity with Python fundamentals
Basic knowledge of mathematics/statistics
Comfort with spreadsheets (Excel or similar)
Interest in data and problem-solving

Learning Path:

Python fundamentals for data analysis
Data manipulation with NumPy and Pandas
Exploratory data analysis (EDA)
Data visualization techniques
Mini-projects and real-world case studies

Related Courses:

Python Programming Fundamentals
Statistics for Data Analysis
Data Visualization with Python
SQL for Data Analysts

Available Training Modes

Live Online Training

2 Days

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 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

Who is the instructor for this training?

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

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