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Data Analysis Hands-On Projects With Python | 15+ Projects

Work On 15+ Data Analysis PROJECTS To Help You Master The Concept Of Data Analysis With Python

Total Data Science

Summary

Price
£34.99 inc VAT
Study method
Online, On Demand What's this?
Duration
15.8 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed courses certificate of completion - Free
1 student purchased this course

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Overview

What you'll learn

  • Build PROJECTS And PORTFOLIO With Python

  • Master Data Analysis With Python

  • Have A Solid Python Background For Your Career.

  • Learn To Use Robust Python Libraries And Frameworks Like: NumPy, Pandas, Scikit-Learn, etc.

  • Be Able To Use Python For Data Analysis

  • Be Able To Use Python For Business Analysis

  • Be Able To Use Python For Data Science And Machine Learning

  • Learn Modern Web Scraping Frameworks like Selenium, Scrapy, Beautiful Soup, Request, Web drivers, etc

  • Become an Industry-Level Ready Data Analyst!!

  • Crack Python And Data Analysis Interview Questions With Hands-On Experience.

Curriculum

20
sections
143
lectures
15h 50m
total

    • 2: Lecture Datasets 01:00

    • 3: Introduction 01:00

    • 4: Introduction 07:23
    • 5: Lecture Resources 01:00
    • 6: Loading and Preparing Dataset 13:35
    • 7: Checking Overall Frequency Of Messaging 10:44
    • 8: Analysis Of Most Active Days Of Messaging 04:15
    • 9: Analysis Of Most Active User 05:20
    • 10: Analysis Of Ghost And Inactive Users 02:35
    • 11: Analysis Of Most Sent Media 09:37
    • 12: Analysis Of Most Active Hours 05:38
    • 13: Analysis Of Most Active Days 03:59
    • 14: Analysis Of Most Active Months 13:04
    • 15: Build WordCloud For Frequent Words 11:57
    • 16: Build WordCloud For Most Active Users 11:01

    • 17: Introduction 00:50
    • 18: Lecture Resources 01:00
    • 19: Uber: Loading Dataset and Preparation 21:31
    • 20: Uber: Analysis Of Categories Of Trips 02:14
    • 21: Uber: Analysis Of Length Of Trips 01:33
    • 22: Uber: Analysis Of Hot Hour Of Trips 04:33
    • 23: Uber: Analysis Of Purpose Of Trips 04:56
    • 24: Uber: Analysis Of Day With Highest Number Of Trips 01:43
    • 25: Uber: Analysis Of Number Of Trips Per Day 01:54
    • 26: Uber: Analysis Of Number Of In The Month 01:36
    • 27: Uber: Analysis Of Starting Point Of Trips 03:34

    • 28: Introduction 03:16
    • 29: Import & Initialise Data 04:57
    • 30: Analysis Of Countries Where Keyword Is Most Searched 06:48
    • 31: Analysis Of Interest Overtime 06:29
    • 32: Analysis Of Historical Interest Overtime 12:49

    • 33: Introduction 01:09
    • 34: Lecture Resources 01:00
    • 35: Sourcing Our Data 05:06
    • 36: Loading And Cleaning Data 12:47
    • 37: Analysis Of Trends Of Keywords Overtime 12:41
    • 38: Analysis Of Seasonal Patterns Of Keywords Overtime 09:03

    • 39: Introduction 31:55
    • 40: Lecture Resources 01:00
    • 41: Loading And Cleaning Data 04:29
    • 42: Which Ministry Has The Highest Budget 04:29
    • 43: Analysis Of Top 10 Ministry With The Highest Budget 04:16
    • 44: Analysis Of Last 10 Ministry With The Highest Budget 04:00
    • 45: Budget Analysis With Pie Chart 12:31

    • 46: Introduction 01:00
    • 47: Lecture Resources 01:00
    • 48: Overview 01:27
    • 49: Summary Of Dataset 06:08
    • 50: Analysis Of Distribution Of Gender 06:09
    • 51: Analysis Of Distribution Of Age 02:12
    • 52: Analysis Of Most Common Surgery Type 07:54
    • 53: Analysis Of Average Claim Amount 04:22
    • 54: Analysis Of Group Summary Statistics 04:04
    • 55: Summary Statistics For Hospital 02:18
    • 56: Analysis Of Most Common Surgery Type 03:52
    • 57: Time Series Analysis 09:40
    • 58: Analysis Of Patients Age Overtime 05:55

    • 59: Introduction 01:00

    • 60: Lecture Resources 01:00
    • 61: Best MOVIE Streaming Service Introduction Preview 00:34
    • 62: Loading And Cleaning Data 23:18
    • 63: Analysis Of Number Of Movies For Each Age Group 01:37
    • 64: Top 10 Languages 09:23
    • 65: Analysis Of Number Of Movies In Specific Age Group: All Service 06:38
    • 66: NETFLIX: Analysis Of Number Of Movies In Specific Age Group 02:30
    • 67: AMAZON PRIME: Analysis Of Number Of Movies In Specific Age Group 01:55
    • 68: DISNEY: Number Of Movies In Specific Age Group 02:08
    • 69: HULU: Analysis Of Number Of Movies In Specific Age Group 01:11
    • 70: Analysis Of Rotten Tomatoes Ratings For All Movie 04:01
    • 71: Rotten Tomatoes Ratings For Each Movie 10:45
    • 72: Analysis Of IMDb Ratings For Movies 04:14
    • 73: Analysis Of Count Of Runtimes For Movies 06:19
    • 74: Directors And Their Movie Count 22:58
    • 75: Exploring Genres 09:23
    • 76: Top Movies On NETFLIX 06:11
    • 77: Analysis Of Top Movies On AMAZON PRIME 04:56
    • 78: Analysis Of Top Movies On DISNEY 02:57
    • 79: Analysis Of Top Movies On HULU 04:46

    • 80: Lecture Resources 01:00
    • 81: Competitive Analysis And Visualisation Of Covid19 Introduction 01:27
    • 82: Loading And Cleaning Dataset 11:49
    • 83: Analysis Of Global Statistics 13:16
    • 84: Creating Readable Numbers With Generic Function 08:22
    • 85: Analysis Of Confirmed Cases Around The Global 21:10
    • 86: Building Treemap For Affected Countries 06:16
    • 87: Analysis And Visualisation By Country: Code Walkthrough 20:48
    • 88: Analysis Of Confirmed Cases In The USA 04:28
    • 89: Analysis Of Confirmed Cases In CHINA 03:03
    • 90: Analysis Of Confirmed Cases In The UK 03:17
    • 91: Analysis Of Confirmed Cases In INDIA 02:39
    • 92: Analysis Of Confirmed Cases In ITALY 03:04
    • 93: Analysis Of Most Affected Countries 10:08

    • 94: Lecture Resources 01:00
    • 95: Covid-19 Vaccination Analysis Introduction 01:10
    • 96: Loading Our Dataset 08:23
    • 97: Data Cleaning And Preprocessing 08:58
    • 98: Feature Creation 12:54
    • 99: Visualisation Code Walkthrough 08:33
    • 100: Visualisation Insights: Total 20 Countries Vaccinated 01:28
    • 101: Visualisation Insights: Percentage Of Top Vaccinated Countries 02:38
    • 102: Visualisation Insights: Analysis Of Positive Cases 02:46
    • 103: Visualisation Insights: Analysis Of Serious or Critical Cases 03:30
    • 104: Visualisation Insights: Death Rate Around The Globe 07:39
    • 105: Active Cases Vs Cures Vs Deaths 06:34
    • 106: Visualisation Insights: Active Cases Vs Cures Vs Deaths 01:57
    • 107: Visualisation Insights: Choropleth Plot Of Active Cases 03:46
    • 108: Visualisation Insights: Vaccines In Use Around The World 02:55
    • 109: Visualisation Insights: Vaccine Preferences By Country 04:30
    • 110: Visualisation Insights: Vaccinations Overtime 15:31
    • 111: Visualisation Insights: Top Countries By Total Vaccinations 05:22
    • 112: Visualisation Insights: Vaccine Vs Active Cases 12:35
    • 113: Visualisation Insights: Cumulative Stats Of Disease Vs Vaccine 04:29
    • 114: Visualisation Insights: Cumulative Vaccine Breakdown 04:23

    • 115: Introduction 01:00

    • 116: Automate Spotify with Python 09:41

    • 117: Lecture Resources 01:00
    • 118: Job Board Data Web Scraping Automation Introduction Preview 05:37
    • 119: Problem Statement & Dataset Discription 05:26
    • 120: Demystify The Structure Of URLs 04:00
    • 121: Forming The Structure Of Webpage URLs 09:23
    • 122: Formulating Generic Webpage URLs 11:09
    • 123: Creating A DataFrame For Scraped Data 03:42
    • 124: Creating A Generic Auto Web Scraper 23:37

    • 125: Lecture Resources 01:00
    • 126: Book Store Web Scraping With Python 05:49
    • 127: PART 2: Book Store Web Scrapping 22:52
    • 128: PART 3: BookStore Web Scrapping 10:12
    • 129: PART 4: BookStore Web Scrapping 16:30

    • 130: Lecture Resources 01:00
    • 131: Introduction To Amazon Web Scrapper 00:54
    • 132: PART 1: Building Amazon Auto Scraper 14:45
    • 133: PART 2: Building Amazon Auto Scraper 27:53

    • 134: Lecture Resources 01:00
    • 135: Portfolio Introduction Preview 05:30
    • 136: Tips & Tricks For Creating Stunning Portfolio 09:54
    • 137: Setting Up Environment For Creating Portfolio 04:17
    • 138: Creating Portfolio From Scratch 20:19
    • 139: Hosting Your Portfolio On Github Pages 08:33
    • 140: Editing Your Portfolio Image 06:11
    • 141: Building Your Portfolio With Already Made Templates: NO CODING REQUIRED 06:04
    • 142: Building Your Portfolio With Already Made Templates: NO CODING REQUIRED 03:41

    • 143: Assignment 1: Capstone Project 02:00

Course media

Description

  • Interested in the field of Data Analysis or Data Science and Machine Learning?

  • Interested in Building Data Analysis Projects and showcase in your portfolio?

  • Interested in learning it the practical way?

  • Do you want to learn how to build a Data Analyst portfolio from scratch and from templates?

  • Do you want to be confident in using python to clean, process and manipulate data?

Then this course is for you!!

Welcome to the Data Analysis projects mastery.

In this project mastery, we have only one objective. That is to really understand the concept of data analysis using python by practicing through real world projects.

These projects are carefully curated to make sure that you master each and every aspect of Data Analysis using Python.

So if you are interested in mastering Python to become a data analyst, data scientist, business analyst, machine learning engineer Ai engineer, Big data professional etc, then you are at the right place.

The projects in this mastery are real world projects that we work on with our clients and we have included them in this course so that you have a hands-on experience with working with real world data.

Throughout this project mastery, I will walk you through step by step each and every line of code for you to understand what am doing and why am doing that.

I will first do it for you to see how it is done then you will also have assignments, exercises and projects to practice on your own.

There is also going to be a final capstone project that you can include in your portfolio.

There is also going to be a bonus session for you where you learn how to create a stunning portfolio that will showcase your experience working with real world projects and how you can easily catch the eyes of recruiters to get hired.

This is a beginner to advance projects mastery and you can easily get started with little basics of python.

There is going to be a lot of exercises, assignments and projects and there is a lot of fun as well.

If you really want to understand the concept of Data Analysis and using Python to work with real world data, then there is no better way than to gain a hands-on experience and that is what we are going to do in this course so let’s get started.

This course has been practically and carefully designed by industry experts to offer the best way of learning Data Analysis the practical way with hands-on projects and Assignments throughout the course.

This course will help you learn complex Data Cleaning, Data Munching and Exploratory Data Analysis concepts the practical way for easier understanding.

We will walk you through step-by-step on each topic explaining each line of code for your understanding.

There is going to be a lot of fun, excited, and robust projects to better understand each concept under each topic.

This course aims to help beginners, as well as intermediate data analysis, business analysis and data science enthusiasts, learn both the concepts while practicing on the projects to gain a better understanding of the course.

Who is this course for?

  • Anyone who wants to master the concept of data analysis.
  • Beginners who have little basics of Python programming.
  • People Interested In Learning Python For Data Science, Data Analysis, Business Analysis, Machine Learning, Artificial Intelligence, Web Development etc.
  • If you are interested in learning to code in Python from scratch through building fun and useful projects, then this course is for you!.
  • Anyone interested in gaining practical hands-on experience

Requirements

  • Anyone With Little Basics Of Python Can Easily Learn

  • This Is A Beginner To Advance Course

  • A Windows Laptop, Mac, PC or Linux computer with access to the internet

  • I'll walk you through, step-by-step how to get all the software installed and set up

  • A Windows Laptop, Mac, PC or Linux computer with access to the internet

  • Your enthusiasm to learn !!

Questions and answers

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Certificates

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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