Data Analysis Bootcamp: Master Data Science Skills

Learn Data Analysis With Python, Jupyter, Pandas, Dropna - Learn Data Cleaning, Visualization, and Modeling

What you'll learn

Understand key data concepts like data types, variables, and data cleaning techniques.

Master the powerful Python programming language for data manipulation, analysis, and visualization.

Discover insightful patterns and trends in your data through exploratory data analysis.

Effectively communicate your findings through compelling data visualizations and reports.

Requirements

No experience required

Description

Are you ready to embark on a data-driven journey? This bootcamp is your first step towards becoming a skilled data analyst. Whether you're a beginner or looking to enhance your data skills, this course is designed to provide you with a solid foundation in data analysis.In this course, you'll learn:Data Fundamentals:Understand key data concepts like data types, variables, and data cleaning techniques.Learn how to handle missing data and outliers.Data Analysis with Python:Master the powerful Python programming language for data manipulation, analysis, and visualization.Utilize libraries like Pandas to efficiently work with data.Data Exploration and Visualization:Discover insightful patterns and trends in your data through exploratory data analysis.Create visually appealing data visualizations using various chart types (histograms, bar charts, scatter plots, etc.).Statistical Analysis:Apply statistical methods to draw meaningful conclusions from your data.Understand hypothesis testing, correlation analysis, and regression analysis.Data Storytelling:Effectively communicate your findings through compelling data visualizations and reports.Present your insights in a clear and concise manner to a non-technical audience.By the end of this course, you'll be able to:Clean and prepare data for analysisPerform exploratory data analysis to uncover insightsVisualize data effectively to communicate findingsApply statistical techniques to draw meaningful conclusionsUse Python to automate data analysis tasksCreate compelling data stories to drive decision-makingWhat You'll Get:Lifetime Access to Course Content: Learn at your own pace, anytime, anywhere.High-Quality Video Lectures: Clear and concise explanations of each topic.Practical Exercises: Apply what you've learned with hands-on projects.Certificate of Completion: Showcase your new skills to potential employers.No prior programming experience is required. This course is designed for beginners and assumes no prior knowledge of data analysis or Python. Enroll now and start your data analysis journey today!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Setup and Basic Data Analysis

Lecture 3 More Basic Data Analysis Commands

Lecture 4 Counting functions in Data Analysis

Lecture 5 Pandas & Pyplot

Lecture 6 Linear Regression & Heatmap

Lecture 7 Dropna

Lecture 8 PD.Pivot Table

Lecture 9 DF Rolling

Lecture 0 PD.Merge() and PD.Concat()

Lecture 10 PD.Cut() and PD.Gcut()

Lecture 11 PD.Resample()

Lecture 12 Scikit-Learn Pipeline

Lecture 13 PD.Merge() and PD.Concat()

Lecture 14 Data.sort_values(by=_column_) part 1

Lecture 15 Class Project 1

Lecture 16 Class Project 2

Anyone who looking to learn data analysis