Data Analysis For Complete Beginners

Beginner's Guide to Data Analysis, Statistics, and Visualization Using Python.

What you'll learn

Understand and Apply Fundamental Statistical Concepts

Write and Execute Basic Python Programs

Work with Pandas for Data Manipulation

Create Basic Visualizations with Matplotlib

Requirements

No Prior Programming Knowledge Required

Interest in Data Analysis

Access to a Computer with Internet Connection

Description

Welcome to Data Analysis for Complete Beginners! This comprehensive course is designed to introduce you to the fundamental concepts of data analysis, statistics, and visualization using Python. Whether you are looking to pivot your career, enhance your existing skills, or simply explore the exciting world of data, this course is the perfect starting point for your journey.In this course, you will learn:Basic Statistics: Understand key statistical concepts such as mean, median, mode, and standard deviation, and how to apply them to real-world data.Beginner Python Programming: Gain foundational Python programming skills, including writing basic scripts and using control structures to create functional code.Data Manipulation with Pandas: Discover how to use Pandas, a powerful data manipulation and structuring library, to clean, organize, and analyze data effectively.Data Visualization with Matplotlib: Learn how to create basic visualizations to represent your data, making insights easier to understand and communicate.By the end of this course, you will have the skills to analyze real-world data sets, draw meaningful conclusions, and present your findings visually. You'll also gain confidence in using these tools to tackle various data challenges. Join us and embark on your journey into the world of data analysis today!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Introduction to Statistics

Lecture 2 Measure of Spread

Lecture 3 Measure of Central Tendency

Lecture 4 Standard Deviation and Variance

Lecture 5 Effect of Outlier on Mean and Median

Lecture 6 Basic Visualizations Explained part 1

Lecture 7 Basic Visualizations Explained part 2

Section 3: Basic Python Programming

Lecture 8 Data Types and Variables Theory

Lecture 9 Data Types and Variables Programming

Lecture 10 Inputs

Lecture 11 Conditional Statements

Lecture 12 And & Or

Lecture 13 Lists and Dictionaries

Lecture 14 Loops

Lecture 15 Functions

Section 4: Introduction to Pandas(Python Data Analysis Library)

Lecture 16 Series and Dataframe

Lecture 17 Basic Functions

Lecture 18 Null or NaN

Lecture 19 Slicing

Lecture 20 Other Functions

Section 5: Basic Data Analysis Using Pandas - Real World Data

Lecture 21 Data Analysis Part 1

Lecture 22 Data Analysis Part 2

Section 6: Basic Data Visualization using Matplotlib

Lecture 23 Line Charts

Lecture 24 Bar and Scatter plots

Section 7: Free Ebook on Data Analysis

Lecture 25 Free Ebook

Complete Beginners in Data Analysis