Complete Data Science With Python Course From Iibm Institute

Data Science with Python Course for Beginners | Online Course

What you'll learn

Proficient Data Handling.

Effective Data Visualization.

Learner's Gain a solid understanding of key statistical concepts and techniques.

End-to-End Project Execution.

Requirements

Good programming knowledge, introductory statistics, a computer, and Python with relevant libraries installed.

Description

The Data Science with Python course is an extensive program designed to provide a solid foundation in the essential concepts and techniques of data science. This course is perfect for beginners and those with some programming experience looking to deepen their understanding of data analysis and visualization.Throughout the course, you will engage with powerful Python libraries such as Pandas and NumPy, which are crucial for data manipulation and analysis. You will learn how to clean and preprocess datasets, conduct exploratory data analysis, and apply various statistical methods to derive meaningful insights.Additionally, you will gain hands-on experience in data visualization using Matplotlib and Seaborn, enabling you to create informative and visually engaging charts that effectively communicate your findings to various stakeholders.The curriculum includes practical projects that allow you to apply your skills to real-world datasets, enhancing your problem-solving abilities and preparing you for data-driven challenges across different sectors.By the end of the course, you will have a robust understanding of data science principles and techniques, equipping you with the tools necessary to succeed in this dynamic field. Join us to embark on your journey into the fascinating world of data science and unlock its potential!IIBM Institute of Business Management

Overview

Section 1: Data Science With Python

Lecture 1 Introduction

Lecture 2 Data Science Application Across Multiple Domain and Business Function

Lecture 3 Data Science Project LifeCycle

Lecture 4 Multiple Predictive Model Using Python

Lecture 5 Python - Simple and Multiple Predictive Model in Practical

Lecture 6 Assignment - Real Estate Predictive Analysis

Lecture 7 Python Correlation Analysis

Lecture 8 Data Science - Questionnaire Design Process

Lecture 9 Python Classification Model Building

Lecture 10 Data Science - Experimental Design Analysis

Lecture 11 Classification Technique - Discriminant Analysis

Lecture 12 Data Science - Association Rule - Apriori Algorithm

Lecture 0 Data Science - Building Recommendation System - Market Basket Analysis(MBA)

Lecture 13 Data Architecture Design, Data Warehousing and it's Schema Design

Aspiring data scientists, analysts, students, and business professionals interested in data.