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☑ 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.
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 arre 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.
PROJECT 1: WhatsApp Data Analysis With Python
Loading and Preparing Dataset
Checking Overall Frequency Of Messaging
Analysis Of Most Active Days Of Messaging
Analysis Of Most Active User
Analysis Of Ghost And Inactive Users
Analysis Of Most Sent Media
Analysis Of Most Active Hours
Analysis Of Most Active Days
Analysis Of Most Active Months
Build WordCloud For Frequent Words
Build WordCloud For Most Active Users
PROJECT 2: Uber Trips Analysis using Python
Uber: Loading Dataset and Preparation
Uber: Analysis Of Categories Of Trips
Uber: Analysis Of Length Of Trips
Uber: Analysis Of Hot Hour Of Trips
Uber: Analysis Of Purpose Of Trips
Uber: Analysis Of Day With Highest Number Of Trips
Uber: Analysis Of Number Of Trips Per Day
Uber: Analysis Of Number Of In The Month
Uber: Analysis Of Starting Point Of Trips
PROJECT 3: Google Search Analysis with Python
Import & Initialise Data
Analysis Of Countries Where Keyword Is Most Searched
Analysis Of Interest Overtime
Analysis Of Historical Interest Overtime
PROJECT 4: Time Series with python
Sourcing Our Data
Loading And Cleaning Data
Analysis Of Trends Of Keywords Overtime
Analysis Of Seasonal Patterns Of Keywords Overtime
PROJECT 5: Financial Budget Analysis with Python
Loading And Cleaning Data
Which Ministry Has The Highest Budget
Analysis Of Top 10 Ministry With The Highest Budget
Analysis Of Last 10 Ministry With The Highest Budget
Budget Analysis With Pie Chart
PROJECT 6: Healthcare Data Analysis with Python
Summary Of Dataset
Analysis Of Distribution Of Gender
Analysis Of Distribution Of Age
Analysis Of Most Common Surgery Type
Analysis Of Average Claim Amount
Analysis Of Group Summary Statistics
Summary Statistics For Hospital
Analysis Of Most Common Surgery Type
Time Series Analysis
Analysis Of Patients Age Overtime
PROJECT 7: Best MOVIE Streaming Service Analysis with Python
Best MOVIE Streaming Service Introduction
Loading And Cleaning Data
Analysis Of Number Of Movies For Each Age Group
Top 10 Languages
Analysis Of Number Of Movies In Specific Age Group: All Service
NETFLIX: Analysis Of Number Of Movies In Specific Age Group
AMAZON PRIME: Analysis Of Number Of Movies In Specific Age Group
DISNEY: Number Of Movies In Specific Age Group
HULU: Analysis Of Number Of Movies In Specific Age Group
Analysis Of Rotten Tomatoes Ratings For All Movie
Rotten Tomatoes Ratings For Each Movie
Analysis Of IMDb Ratings For Movies
Analysis Of Count Of Runtimes For Movies
Directors And Their Movie Count
Top Movies On NETFLIX
Analysis Of Top Movies On AMAZOM PRIME
Analysis Of Top Movies On DISNEY
Analysis Of Top Movies On HULU
PROJECT 8: Competitive Analysis And Visualisation Of Covid19
Competitive Analysis And Visualisation Of Covid19 Introduction
Loading And Cleaning Dataset
Analysis Of Global Statistics
Creating Readable Numbers With Generic Function
Analysis Of Confirmed Cases Around The Global
Building Treemap For Affected Countries
Analysis And Visualisation By Country: Code Walkthrough
Analysis Of Confirmed Cases In The USA
Analysis Of Confirmed Cases In CHINA
Analysis Of Confirmed Cases In The UK
Analysis Of Confirmed Cases In INDIA
Analysis Of Confirmed Cases In ITALY
Analysis Of Most Affected Countries
PROJECT 9: Covid-19 Vaccination Analysis with Python
Covid-19 Vaccination Analysis Introduction
Loading Our Dataset
Data Cleaning And Preprocessing
Visualisation Code Walkthrough
Visualisation Insights: Total 20 Countries Vaccinated
Visualisation Insights: Percentage Of Top Vaccinated Countries
Visualisation Insights: Analysis Of Positive Cases
Visualisation Insights: Analysis Of Serious or Critical Cases
Visualisation Insights: Death Rate Around The Globe
Active Cases Vs Cures Vs Deaths
Visualisation Insights: Active Cases Vs Cures Vs Deaths
Visualisation Insights: Choropleth Plot Of Active Cases
Visualisation Insights: Vaccines In Use Around The World
Visualisation Insights: Vaccine Preferences By Country
Visualisation Insights: Vaccinations Overtime
Visualisation Insights: Top Countries By Total Vaccinations
Visualisation Insights: Vaccine Vs Active Cases
Visualisation Insights: Cumulative Stats Of Disease Vs Vaccine
Visualisation Insights: Cumulative Vaccine Breakdown
ADVANCED LEVEL PROJECTS
PROJECT 10: Automate Spotify with Python
Automate Spotify with Python
PROJECT 11: Job Board Data Web Scraping Automation With Python
Job Board Data Web Scraping Automation Introduction
Problem Statement & Dataset Discription
Demystify The Structure Of URLs
Forming The Structure Of Webpage URLs
Formulating Generic Webpage URLs
Creating A DataFrame For Scraped Data
Creating A Generic Auto Web Scraper
PROJECT 12: Book Store Web Scraping Automation With Python
Book Store Web Scraping With Python
PART 2: Book Store Web Scrapping
PART 3: BookStore Web Scrapping
PART 4: BookStore Web Scrapping
PROJECT 13: Amazon-E-comm Web Scrapping Automation With Python
Introduction To Amazon Web Scrapper
PART 1: Building Amazon Auto Scraper
PART 2: Building Amazon Auto Scraper
PROJECT 14: BUILDING A DATA ANALYST PORTFOLIO
Tips & Tricks For Creating Stunning Portfolio
Setting Up Environment For Creating Portfolio
Creating Portfolio From Scratch
Hosting Your Portfolio On Github Pages
Editing Your Portfolio Image
Building Your Portfolio With Already Made Templates: NO CODING REQUIRED
Building Your Portfolio With Already Made Templates: NO CODING REQUIRED 2
PROJECT 15: FINAL CAPSTONE PROJECT