Data Science Bundle: 180 Hands-On Projects - Course 2 Of 3

Build & Deploy 180 Projects - Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Azure Cloud)

What you'll learn

Master the essentials of Machine Learning using Python, the go-to language for Data Science.

Learn to build robust Machine Learning models that can withstand real-world uncertainties.

Gain insights into the end-to-end product workflow of the Machine Learning lifecycle, ensuring you understand each phase deeply.

Acquire the skills needed to deploy Machine Learning models, making them functional in a live environment.

Develop a strong intuition for choosing the right Machine Learning models for different tasks.

Empower yourself to conduct powerful data analyses that can drive decision-making processes.

Learn data-cleaning techniques to handle and remove outliers, ensuring data quality.

Equip yourself with skills that are in high demand, increasing your chances of getting hired as a Data Scientist.

Requirements

Basic knowledge of machine learning

Description

Unleash your data science mastery in this dynamic course! Learn to build and deploy machine learning, AI, NLP models, and more using Python and web frameworks like Flask and Django. Elevate your projects to the cloud with Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit. Get ready to turn data into powerful solutions!Enrolling in this course is a transformative decision for several compelling reasons. This dynamic program is meticulously designed to take you on a journey from theory to practical, hands-on mastery.Firstly, you'll delve into the exciting world of real-world machine learning and data-driven projects, offering you invaluable skills to solve complex problems.  Secondly, this course empowers you to unleash your data science prowess. You'll not only learn to build and deploy machine learning, AI, and NLP models but also gain proficiency in using Python and web frameworks like Flask and Django. Elevate your projects to the cloud with Heroku, AWS, Azure, GCP, IBM Watson, and Streamlit, making your creations accessible to the world.Moreover, you'll navigate the entire project lifecycle, from ideation to deployment, gaining practical experience at every step. By working on real industry-inspired projects, you'll develop the confidence and skills needed to excel in the real worldIn This Course, We Are Going To Work On 60 Real World Projects Listed Below:Data Science Projects:Project-1: Developing an AI Chatbot using GPT-3.5Project-2: American Sign Language Detection with CNNProject-3: Builtup Area Classification using K-Means and DNNProject-4: Clustering COVID-19 Research Articles using Vector EmbeddingsProject-5: Crop Recommendation and Yield Prediction ModelProject-6: Generating Images with DCGAN ArchitectureProject-7: Seizure Prediction using EEG Signals and SVMProject-8: Music Genre Classification using SpectrometersProject-9: Disease Detection from Symptoms using Transformers and TokenizerProject-10: Text Summarization with Advanced TechniquesProject-11: SentimentSense: Deciphering Sentiments - Sentiment Analysis Django App on HerokuProject-12: AttritionMaster: Navigating the Path of Employee Attrition - Django ApplicationProject-13: PokeSearch: Legendary Pokemon Quest - Django App Adventure on HerokuProject-14: FaceFinder: Unmasking Hidden Faces - Face Detection with Streamlit MagicProject-15: FelineCanine: Pawsitively Classy - Cats Vs Dogs Classification Flask AppProject-16: RevGenius: Predicting Revenue Gems - Customer Revenue Prediction on HerokuProject-17: VoiceGender: Vocal Clues Unveiled - Gender Prediction from Voice on HerokuProject-18: EatSuggest: A Culinary Companion - Restaurant Recommendation SystemProject-19: JoyRank: Spreading Happiness - Happiness Ranking Django App on HerokuProject-20: WildFireWarn: Taming the Inferno - Forest Fire Prediction Django App on HerokuProject-21: SonicWaveWhisper: Echoes of Prediction - Sonic Wave Velocity Prediction using Signal Processing TechniquesProject-22: PressureQuest: Delving into Pore Pressure - Estimation of Pore Pressure using Machine LearningProject-23: SoundSorcerer: Enchanting Audio Processing - Audio Processing using MLProject-24: TextTalker: Unveiling Textual Secrets - Text Characterization using Speech RecognitionProject-25: AudioMaestro: Harmonizing Audio Classifications - Audio Classification using Neural NetworksProject-26: VoiceCompanion: Your AI Voice Assistant - Developing a Voice AssistantProject-27: SegmentSense: Uncovering Customer Segments - Customer SegmentationProject-28: FIFAPhenom: Scoring Goals with FIFA 2019 AnalysisProject-29: SentimentWeb: Surfing the Waves of Web Scraped Sentiments - Sentiment Analysis of Web Scraped DataProject-30: VinoVirtuoso: Unveiling the Essence of Red Wine - Determining Red Vine QualityProject-31: PersonaProbe: Decoding Customer Personalities - Customer Personality AnalysisProject-32: LiterateNation: A Journey into India's Literacy Landscape - Literacy Analysis in IndiaProject-33: CropGuide: Cultivating Crop Knowledge with PyQt5 and SQLite - Building Crop Guide ApplicationProject-34: PassKeeper: Safeguarding Secrets with PyQt5 and SQLite - Building Password Manager ApplicationProject-35: NewsNow: Unveiling the News with Python - Create A News ApplicationProject-36: GuideMe: Guiding You Along the Way - Create A Guide Application with PythonProject-37: ChefWeb: Savoring Culinary Delights - Building The Chef Web Application with Django, PythonProject-38: SyllogismSolver: Unlocking the Logic of Inference - Syllogism-Rules of Inference Solver Web ApplicationProject-39: VisionCraft: Crafting Visual Experiences - Building Vision Web Application with Django, PythonProject-40: BudgetPal: Navigating Financial Paths - Building Budget Planner Application with PythonPower BI Projects:Project-41: Road Accident Analysis: Relations and Time IntelligenceProject-42: Generic Sales Analysis for Practice: Data TransformationProject-43: Maven Toy Sales Analysis: Transformations and DAXProject-44: Maven Pizza Sales Analysis: Transformations and DAXProject-45: IT Spend Analysis: Variance of Global IT FirmProject-46: Sales Data Analysis: Generic Super Market SalesProject-47: Foods and Beverages Sales Analysis DashboardProject-48: Budget vs. Actual Spending Analysis DashboardProject-49: HR Analytics Dashboard: Attrition AnalysisProject-50: E-commerce Super Store Sales AnalysisTableau Projects:Project-51: Video Game Sales Dashboard: Gaming MarketProject-52: IMDB Movie Review Dataset Dashboard: Film InsightsProject-53: Goodreads Dataset Dashboard: Book AnalysisProject-54: Friends Sitcom Dashboard: TV Series Data AnalysisProject-55: Amazon Sales Dashboard: Online Retail InsightsProject-56: Hollywood's Most Profitable Stories Dashboard: Film AnalysisProject-57: Netflix Dashboard: Streaming Service PerformanceProject-58: TripAdvisor Hotel Review Dataset: Travel AnalysisProject-59: Breaking Bad Dashboard: TV Series InsightsProject-60: Customer Personality Analysis: Marketing and Sales StrategiesTips: Create A 60 Days Study Plan , Spend 1-2hrs Per Day, Build 60 Projects In 60 Days.The Only Course You Need To Become A Data Scientist, Get Hired And Start A New CareerNote: This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

Overview

Section 1: Introduction to the course

Lecture 1 Introduction to the course

Lecture 2 Outline of the course

Lecture 3 Course Bonuses: Cheat Sheets, Downloads, Mind maps, Guides.

Section 2: Project-1: Developing an AI Chatbot using GPT-3.5

Lecture 4 Introduction - Developing an AI Chatbot using GPT-3.5

Lecture 5 create app

Lecture 6 Download the project files

Section 3: Project-2: American Sign Language Detection with CNN

Lecture 7 Introduction - American Sign Language Detection with CNN

Lecture 8 Data Reading and Processing

Lecture 9 Model - American Sign Language Detection with CNN

Lecture 10 Flask app

Lecture 11 Download the project files

Section 4: Project-3: Builtup Area Classification using K-Means and DNN

Lecture 12 Introduction

Lecture 13 Ground Truth

Lecture 14 Model

Lecture 15 Flask

Lecture 16 Download the project files

Section 5: Project-4: Clustering COVID-19 Research Articles using Vector Embeddings

Lecture 17 Introduction

Lecture 18 Model

Lecture 19 Download the project files

Section 6: Project-5: Crop Recommendation and Yield Prediction Model

Lecture 20 Introduction

Lecture 21 Model

Lecture 22 Flask

Lecture 23 Download the project files

Section 7: Project-6: Generating Images with DCGAN Architecture

Lecture 24 Introduction - Generating Images with DCGAN Architecture

Lecture 25 Model - Generating Images with DCGAN Architecture

Lecture 26 Flask

Lecture 27 Download the project files

Section 8: Project-7: Seizure Prediction using EEG Signals and SVM

Lecture 28 Introduction

Lecture 29 Data Processing

Lecture 30 Model

Lecture 31 Flask app

Lecture 32 Download the project files

Section 9: Project-8: Music Genre Classification using Spectrometers

Lecture 33 Introduction

Lecture 34 Data Processing

Lecture 35 Model

Lecture 36 Flask App

Lecture 37 Download the project files

Section 10: Project-9: Disease Detection from Symptoms using Transformers and Tokenizer

Lecture 38 Introduction

Lecture 39 Model

Lecture 40 Flask

Lecture 41 Download the project files

Section 11: Project-10: Text Summarization with Advanced Techniques

Lecture 42 Introduction

Lecture 43 Model

Lecture 44 Flask

Lecture 45 Download the project files

Section 12: Project-11: SentimentSense: Deciphering Sentiments - Sentiment Analysis Django A

Lecture 46 Introduction to Sentiment Analysis Logistic Regression

Lecture 47 Project Notebook Google Colab

Lecture 48 Building Django App

Lecture 49 Deploying APP In Heruko

Lecture 50 Download the project files

Section 13: Project-12: AttritionMaster: Navigating the Path of Employee Attrition - Django

Lecture 51 Introduction -Attrition Rate Django

Lecture 52 Creating Colab Notebook

Lecture 53 Creating Django App

Lecture 54 Deploying APP In Heruko

Lecture 55 Download the project files

Section 14: Project-13: PokeSearch: Legendary Pokemon Quest - Django App Adventure on Heroku

Lecture 56 Introduction -Working with Pokemon Dataset

Lecture 57 Creating Colab Notebook

Lecture 58 Creating DJango APP

Lecture 59 Deploying APP In Heruko

Lecture 60 Download the project files

Section 15: Project-14: FaceFinder: Unmasking Hidden Faces - Face Detection with Streamlit

Lecture 61 Introduction to face app

Lecture 62 Creating The Face App Using OpenCV

Lecture 63 Creating The face app opencv

Lecture 64 Creating the face app opencv

Lecture 65 Download the project files

Section 16: Project-15: FelineCanine: Pawsitively Classy - Cats Vs Dogs Classification Flask

Lecture 66 Introduction To Cats Vs Dogs Classification

Lecture 67 Creating Project Notebook

Lecture 68 Building Model -Colab

Lecture 69 Building Flask App

Lecture 70 Building Flask App Deployement

Lecture 71 Download the project files

Section 17: Project-16: RevGenius: Predicting Revenue Gems - Customer Revenue Prediction

Lecture 72 Introduction To Customer Revenue Prediction

Lecture 73 Colab Notebook Customer Revenue Prediction

Lecture 74 Creating Flask App

Lecture 75 Deploying Flask App

Lecture 76 Download the project files

Section 18: Project-17: VoiceGender: Vocal Clues Unveiled - Gender Prediction from Voice

Lecture 77 Introduction- Gender From Voice Prediction

Lecture 78 Creating Project Notebook- Gender From Voice Prediction

Lecture 79 Creating Project App Django

Lecture 80 Deploying The App

Lecture 81 Download the project files

Section 19: Project-18: EatSuggest: A Culinary Companion - Restaurant Recommendation System

Lecture 82 Intro To - Restaurant Recommendation System

Lecture 83 Creating Colab Notebook

Lecture 84 Exploratory Data Analysis

Lecture 85 Data Analysis2 - Model Building-

Lecture 86 Download the project files

Section 20: Project-19: JoyRank: Spreading Happiness -Happiness Ranking Django App on Heroku

Lecture 87 Introduction to Happiness Ranking

Lecture 88 Project Notebook

Lecture 89 Creating Django App

Lecture 90 Deploying Django App

Lecture 91 Download the project files

Section 21: Project-20: WildFireWarn: Taming the Inferno - Forest Fire Prediction Django App

Lecture 92 Introduction To Forest Fire

Lecture 93 Project Notebook

Lecture 94 Project Notebook Part2

Lecture 95 Creating Django APP

Lecture 96 Deploying Django App

Lecture 97 Download the project files

Section 22: Project-21: SonicWaveWhisper: Echoes of Prediction - Sonic Wave Velocity Predict

Lecture 98 Introduction to the project.

Lecture 99 Importing Libraries and DataSet

Lecture 100 Data Analysis and Prepration

Lecture 101 Building ML Model

Lecture 102 Evaluating ML Model

Lecture 103 Performing Wavelet Transformation

Lecture 104 Building and Evaluation of model with transformed data

Lecture 105 Download the project files

Section 23: Project-22:PressureQuest: Delving into Pore Pressure-Estimation of Pore Pressure

Lecture 106 Introduction to the project.

Lecture 107 Importing Libraries and Dataset

Lecture 108 Data Analysis

Lecture 109 Data Preprocessing

Lecture 110 Building ML Models

Lecture 111 Hypertuning the models and results

Lecture 112 Download the project files

Section 24: Project-23: SoundSorcerer: Enchanting Audio Processing

Lecture 113 Introduction to the Project

Lecture 114 Importing and reading Audio file

Lecture 115 Extracting Time-Domain features-1

Lecture 116 Extracting Time-Domain features-2

Lecture 117 Fourier Transform and it_s applications-1

Lecture 118 Fourier Transform and Frequency Domain features

Lecture 119 Download the project files

Section 25: Project-24: TextTalker: Unveiling Textual Secrets - Text Characterization

Lecture 120 Introduction to the Project.

Lecture 121 Importing Libraries and Audio Files

Lecture 122 Performing Speech Recognition

Lecture 123 Performing Text Analysis

Lecture 124 Download the project files

Section 26: Project-25: AudioMaestro: Harmonizing Audio Classifications

Lecture 125 Introduction to the project

Lecture 126 Importing Libraries and Audio Files

Lecture 127 Extracting audio features 1

Lecture 128 Extracting audio features 2

Lecture 129 Model Development 1

Lecture 130 Model Development 2

Lecture 131 Download the project files

Section 27: Project-26: VoiceCompanion: Developing Your AI Voice Assistant

Lecture 132 Introduction to the project

Lecture 133 Importing Libraries

Lecture 134 Writing Greet function

Lecture 135 Writing Command function

Lecture 136 Assigning tasks to the AI

Lecture 137 Download the project files

Section 28: Project-27: SegmentSense: Uncovering Customer Segments - Customer Segmentation

Lecture 138 Introduction to the Project

Lecture 139 Importing Libraries and Dataset

Lecture 140 Data Analysis

Lecture 141 Data Preprocessing

Lecture 142 Performing Clustering.

Lecture 143 Download the project files

Section 29: Project-28: FIFAPhenom: Scoring Goals with FIFA 2019 Analysis

Lecture 144 Introduction to the project

Lecture 145 Importing Libraries and Dataset

Lecture 146 Analysing Age Parameter-1

Lecture 147 Analysing Age Parameter-2.

Lecture 148 Analysing Top Players

Lecture 149 Finding Top skills and Building own team

Lecture 150 Download the project files

Section 30: Project-29: SentimentWeb: Surfing the Waves of Web Scraped Sentiments

Lecture 151 Introduction to the Project

Lecture 152 Importing Libraries and Dataset

Lecture 153 Performing Web Scraping

Lecture 154 Data Preprocessing

Lecture 155 Performing Sentiment Analysis

Lecture 156 Download the project files

Section 31: Project-30: VinoVirtuoso: Unveiling the Essence of Red Wine

Lecture 157 Intorduction to the Project

Lecture 158 Importing Libraries

Lecture 159 Data Analysis

Lecture 160 Predicting quality using Labels

Lecture 161 Classifying Good or Bad Wine

Lecture 162 Download the project files

Section 32: Project-31: PersonaProbe: Decoding Customer Personalities - Customer Personality

Lecture 163 Introduction to the Project

Lecture 164 Importing Libraries

Lecture 165 Data Analysis

Lecture 166 Data Cleaning and Feature Engineering

Lecture 167 Performing Clustering using K Means Clustering

Lecture 168 Using Supervised Learing Algorithms

Lecture 169 Download the project files

Section 33: Project-32: LiterateNation: A Journey into India's Literacy Landscape - Literacy

Lecture 170 Introduction to the Project

Lecture 171 Importing Libraries and Dataset

Lecture 172 Population Analysis in India

Lecture 173 Population Analysis in India

Lecture 174 Literacy rate Analysis in India

Lecture 175 Finding out the best state in terms of Literacy

Lecture 176 Download the project files

Section 34: Project-33: CropGuide: Cultivating Crop Knowledge with PyQt5 and SQLite

Lecture 177 Introduction to Project on Crop Guide

Lecture 178 Designing The Python GUI using Qt Designer

Lecture 179 Enhancing the Qt5 GUI Functionality

Lecture 180 Creation and Implementation of Database

Lecture 181 Enhancing the Qt5 GUI Functionality and Application Logic

Lecture 182 Project Conclusion and Recall

Lecture 183 Download the project files

Section 35: Project-34: PassKeeper: Safeguarding Secrets with PyQt5 and SQLite

Lecture 184 Introduction to Project on Password Manager

Lecture 185 Designing The Python GUI using Qt Designer

Lecture 186 Enhancing the Qt5 GUI Functionality

Lecture 187 Creation and Implementation of Database

Lecture 188 Enhancing the Qt5 GUI Functionality and Application Logic Part-1

Lecture 189 Enhancing the Qt5 GUI Functionality and Application Logic Part-2

Lecture 190 Project Conclusion and Overview

Lecture 191 Download the project files

Section 36: Project-35: NewsNow: Unveiling the News with Python - Create A News Application

Lecture 192 Introduction to Project on News App

Lecture 193 Django Starting and Setup

Lecture 194 Demonstration of Django MVT Architecture and Rendering Sample Text in the brow

Lecture 195 Coding the Application Logic

Lecture 196 Updating the Application Logic for templates and views

Lecture 197 Recall and Project Deployment Part-1

Lecture 198 Project Deployment Part-2

Lecture 199 Download the project files

Section 37: Project-36: GuideMe: Guiding You Along the Way - Create A Guide Application

Lecture 200 Introduction to Project on The Guide

Lecture 201 Getting Started With Django

Lecture 202 Application Logic

Lecture 203 Updating Templates and Views

Lecture 204 Deploying Application

Lecture 205 Download the project files

Section 38: Project-37: ChefWeb: Savoring Culinary Delights - Building The Chef Web App

Lecture 206 Introduction to Project on The Chef

Lecture 207 Get Started with Django

Lecture 208 Application Logic Part-1

Lecture 209 Application Logic Part-2

Lecture 210 Application Logic Part-3

Lecture 211 Templates

Lecture 212 Updating Vews

Lecture 213 Deployment Of The Application

Section 39: Project-38: SyllogismSolver: Unlocking the Logic of Inference - Syllogism-Rules

Lecture 214 Introduction to The Syllogism_Rules of Inference Solver

Lecture 215 Get Started with Django and Explaination Of The Project with a Sample Example

Lecture 216 Application Logic Part-1

Lecture 217 Application Logic

Lecture 218 Updating Views and Templates

Lecture 219 Deployment of Application

Lecture 220 Download the project files

Section 40: Project-39: VisionCraft: Crafting Visual Experiences - Building Vision Web App

Lecture 221 Introduction

Lecture 222 Getting Started With Django and MVT Architecture

Lecture 223 Rendering Sample Text and Images Part

Lecture 224 Rendering Sample Text and Images Part-2

Lecture 225 Application Logic Part-1

Lecture 226 Application Logic Part-2

Lecture 227 Updating Templates and Views

Lecture 228 Download the project files

Section 41: Project-40: BudgetPal: Navigating Financial Paths - Building Budget Planner App

Lecture 229 Introduction

Lecture 230 Problem Statement and Algorithm

Lecture 231 Application Logic Part-1

Lecture 232 Application Logic Part-2

Lecture 233 Application Logic Part-3

Lecture 234 Integration Of Gmail In Python

Lecture 235 Integration Of Gmail In Python Part-2

Lecture 236 Download the project files

Section 42: Project-41: Road Accident Analysis: Relations and Time Intelligence

Lecture 237 Introduction to Road Accident Analysis: Relations and Time Intelligence

Lecture 238 Creating Date Master table

Lecture 239 Visualization part 1

Lecture 240 Building the Dashboard

Lecture 241 Download the project files

Section 43: Project-42: Generic Sales Analysis for Practice: Data Transformation

Lecture 242 Introduction and Data loading

Lecture 243 Data Cleaning

Lecture 244 Building Relations

Lecture 245 Visualization

Lecture 246 Download the project files

Section 44: Project-43: Maven Toy Sales Analysis: Transformations and DAX

Lecture 247 Introduction and Overview

Lecture 248 Building Relations

Lecture 249 Visualization (DAX and cards )

Lecture 250 Visualization part 2

Lecture 251 Download the project files

Section 45: Project-44: Maven Pizza Sales Analysis: Transformations and DAX

Lecture 252 Introduction and importing data

Lecture 253 Data Cleaning

Lecture 254 Visualization part 1

Lecture 255 Visualization part 2

Lecture 256 Download the project files

Section 46: Project-45: IT Spend Analysis: Variance of Global IT Firm

Lecture 257 Introduction

Lecture 258 Creating Relations

Lecture 259 Visualization part 1

Lecture 260 Visualization part 2

Lecture 261 Download the project files

Section 47: Project-46: Sales Data Analysis: Generic Super Market Sales

Lecture 262 Introduction to Sales Data Analysis : Genric Super Market Sales

Lecture 263 Data Cleaning

Lecture 264 Data Visualization part 1

Lecture 265 Visualization part 2

Lecture 266 Download the project files

Section 48: Project-47: Foods and Beverages Sales Analysis Dashboard

Lecture 267 Power Bi

Lecture 268 Data Cleaning

Lecture 269 Visualization Part 1

Lecture 270 Data Visualization

Lecture 271 Download the project files

Section 49: Project-48: Budget vs. Actual Spending Analysis Dashboard

Lecture 272 Introduction to Data

Lecture 273 Building Relationships

Lecture 274 Visualization

Lecture 275 Download the project files

Section 50: Project-49: HR Analytics Dashboard: Attrition Analysis

Lecture 276 Introduction to data

Lecture 277 Data Prepping

Lecture 278 Visualization part 1

Lecture 279 Visualization part 2

Lecture 280 Download the project files

Section 51: Project-50: E-commerce Super Store Sales Analysis

Lecture 281 Introduction to data

Lecture 282 Visualization Part 1

Lecture 283 Visualization Part 2

Lecture 284 Download the project files

Section 52: Project-51: Video Game Sales Dashboard: Gaming Market

Lecture 285 Introduction

Lecture 286 Visualization part 1

Lecture 287 Bar Chart and Bubble Chart.

Lecture 288 Bar charts and Text Sheets

Lecture 289 Building the Dashboard

Lecture 290 Download the project files

Section 53: Project-52: IMDB Movie Review Dataset Dashboard: Film Insights

Lecture 291 Introduction to Dashboard

Lecture 292 Visualization part 1

Lecture 293 Word cloud and Bar chart

Lecture 294 Building Box plots

Lecture 295 Other Visualizations.

Lecture 296 Building the dashboard

Lecture 297 Download the project files

Section 54: Project-53: Goodreads.com Dataset Dashboard: Book Analysis

Lecture 298 Introduction to Dashboard

Lecture 299 Horizontal Bar charts

Lecture 300 Radial Barchart and text Sheets

Lecture 301 Incorporating Everything into Dashboard

Lecture 302 Download the project files

Section 55: Project-54: Friends Sitcom Dashboard: TV Series Data Analysis

Lecture 303 Introduction to Dashboard

Lecture 304 Word Cloud

Lecture 305 Box plot and Text Sheets

Lecture 306 Building Dashboard

Lecture 307 Download the project files

Section 56: Project-55: Amazon Sales Dashboard: Online Retail Insights

Lecture 308 Introduction to Dashboard

Lecture 309 Visualizations Part 1

Lecture 310 Visualization Part 2

Lecture 311 Building the Dashboard

Lecture 312 Download the project files

Section 57: Project-56: Hollywood's Most Profitable Stories Dashboard: Film Analysis

Lecture 313 Introduction to Dashboard

Lecture 314 Visualization part 1

Lecture 315 Visualization part 2

Lecture 316 Building bar charts _ donut charts

Lecture 317 Scatterplots _ info Table

Lecture 318 Download the project files

Section 58: Project-57: Netflix Dashboard: Streaming Service Performance

Lecture 319 Introduction

Lecture 320 Data Cleaning _ Visualization part1

Lecture 321 Visualizations Part 2

Lecture 322 Text Sheets _ building Dashboard

Lecture 323 Download the project files

Section 59: Project-58: TripAdvisor Hotel Review Dataset: Travel Analysis

Lecture 324 Introduction

Lecture 325 Visualization part 1

Lecture 326 Visualization Part 2

Lecture 327 Building Dashboard

Lecture 328 Download the project files

Section 60: Project-59: Breaking Bad Dashboard: TV Series Insights

Lecture 329 Introduction

Lecture 330 Visualization Part 1

Lecture 331 Visualization part 2

Lecture 332 Building a Dashboard

Lecture 333 Download the project files

Section 61: Project-60: Customer Personality Analysis: Marketing and Sales Strategies

Lecture 334 Introduction

Lecture 335 Visualization part 1

Lecture 336 Stacked Bar Charts

Lecture 337 Building Donut Charts

Lecture 338 Building The Dashboard

Lecture 339 Download the project files

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