Data Science Bundle: 180 Hands-On Projects - Course 1 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.

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.

Implement popular Machine Learning algorithms from scratch, providing you with a deep understanding of their functionalities.

Use SciKit-Learn, the Python library for Machine Learning, to efficiently complete various tasks.

Explore Matplotlib, the Python plotting library, to visualize your data effectively.

Get exposure to Deep Learning, Transfer Learning, and Neural Networks, expanding your skill set.

Requirements

Basic knowledge of data science

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!Embark on a dynamic learning experience with our comprehensive course, "Applied Data Science: From Theory to Real-World Impact . " Dive deep into the world of practical machine learning and data-driven projects, where you'll gain the skills to transform theoretical concepts into tangible solutions .This hands-on program empowers you to tackle complex problems using cutting-edge techniques, guiding you through the entire project lifecycle . From the inception of ideas to data collection, preprocessing, modeling, and deployment, you'll navigate every stage, honing your skills in real-world settings .Develop proficiency in deploying models across diverse environments, from interactive web applications to critical business systems . Gain insights into the challenges of model deployment and learn to address them effectively . With a strong emphasis on experiential learning, you'll work on actual industry-inspired projects, implementing strategies that yield measurable results ."Data-Driven Projects" goes beyond the technical aspects, highlighting the integration of data-driven decision-making into various business landscapes . Witness the fusion of data analytics and strategic thinking, driving business impact through informed insights . Whether you're a seasoned data practitioner or a newcomer, this course equips you with the knowledge and confidence to excel in real-world scenarios .Elevate your data science journey today and become a proficient problem solver, capable of leveraging data for transformative outcomes that make a difference in today's data-rich world .In This Course, We Are Going To Work On 60 Real World Projects Listed Below:Project-1: Forecasting Renewable Energy Generation: Time Series and Regression AnalysisProject-2: Predicting Diamond Sales Price with Multiple Regression MethodsProject-3: Ethereum Price Prediction using GRU/LSTMs for ForecastingProject-4: Detecting Stress Levels from PPG Sensor Data using Neural NetworksProject-5: Classification of Brain Tumors with CNN and OpenCVProject-6: Age and Gender Prediction from Chest X-Ray Scans using CNN and OpenCVProject-7: COVID-19 Detection from CT Scans using ResNet, DenseNet, and VGG ModelsProject-8: Detecting DeepFakes with ResNet and CNNProject-9: Automatic Number Plate Recognition using ResNet and CNNProject-10: Land Segmentation using U-Net ArchitectureProject-11: LingoLinx: Unleashing Multilingual Magic - Language Translator App on HerokuProject-12: AdView Pro: Cracking the Code of Ad View Predictions with IBM Watson on HerokuProject-13: LappyPricer: Decoding Laptop Prices with Heroku's Predictive PowersProject-14: TextWise: Unveiling Insights from WhatsApp Text with Heroku's Analytical ArsenalProject-15: SmartCourse: Guiding Your Academic Journey - Course Recommendation System on HerokuProject-16: IPL Prophets: Predicting IPL Match Wins with a Touch of Heroku MagicProject-17: BodyFit: Sculpting Your Body Fat Estimator App on Microsoft AzureProject-18: CareerPath: Paving the Way to Campus Placement Success on Microsoft AzureProject-19: AutoCar: Driving the Future of Car Acceptability Prediction on Google CloudProject-20: GenreGenius: A Journey into Book Genres with Amazon Web ServicesProject-21: DNA Seeker: Unraveling Genetic Clues - E . Coli Classification Adventure on AWSProject-22: WordWizard: Unleashing Sentence Sorcery - Predicting the Next Word on AWSProject-23: SeqMaster: Journey into Sequence Prediction - LSTM Adventures on AWSProject-24: KeywordGenie: Unlocking Textual Treasures - Keyword Extraction using NLP on AzureProject-25: SpellCheck Plus: Vanishing Typos - Spelling Correction Wizardry on AzureProject-26: MusicTrends: Dancing with Popularity - Music Popularity Classification on Google App EngineProject-27: AdClassify: Decoding Advertisements - Advertisement Classification on Google App EngineProject-28: DigitDetect: Cracking the Code of Image Digits - Image Digit Classification on AWSProject-29: EmoSense: Delving into Emotions - Emotion Recognition with Neural Networks on AWSProject-30: CancerGuard: Fighting Against Breast Cancer - Breast Cancer Classification on AWSProject-31: Unsupervised Clustering of COVID Nucleotide Sequences using K-MeansProject-32: Weed Detection in Soybean Crops using Computer VisionProject-33: PixelPal: Transforming Images with OpenCV and Tkinter - Image Editor ApplicationProject-34: BrandQuest: Unveiling Brand Identifications with Tkinter and SQLite - Brand Identification GameProject-35: TransactionTracker: Monitoring Financial Flows with Tkinter and SQLite - Transaction ApplicationProject-36: LearnEase: Nurturing Knowledge with Django - Learning Management SystemProject-37: NewsWave: Riding the Waves of News - Create A News Portal with DjangoProject-38: StudentVerse: Journey into Student Life - Create A Student Portal with DjangoProject-39: ProductivityPro: Tracking Progress with Django and Plotly - Productivity TrackerProject-40: StudyConnect: Forging Study Bonds - Create A Study Group with DjangoPower BI Projects:Project-41: Global Data Professionals Benchmarking DashboardProject-42: Beijing Air Quality Dashboard: DAX and VisualizationsProject-43: Real Estate in Daegu: Apartment Pros and Cons AnalysisProject-44: Super Market Sales Analysis: Power Query and DAXProject-45: COVID-19 WHO Dataset Insights: Power Query and DAXProject-46: Credit Card Defaulters Analysis: Power Query and DAXProject-47: Crime in Chicago: 3-Year Analysis with VisualizationProject-48: Customer Churn Analysis: Real-World Business ProblemProject-49: Customer Churn Analysis (Advanced Features): Data ModelingProject-50: Attrition Analysis: HR Data Transformation and VisualizationTableau Projects:Project-51: Revenue Analysis Dashboard: Business Insights and TrendsProject-52: AirBnbs in Seattle: Rental Market AnalysisProject-53: New Year Resolution Tweets: Social Media AnalysisProject-54: Road Accident in the UK: Safety AnalysisProject-55: Ecommerce Sales Dashboard: Sales OptimizationProject-56: Super Store Sales Dashboard: Retail AnalysisProject-57: Credit Card Complaints: Customer Feedback AnalysisProject-58: Data Science Career Dashboard: Job Market TrendsProject-59: Amazon Prime Video Dashboard: Streaming InsightsProject-60: Traffic Collision in Seattle: Safety and Traffic AnalysisTip: Create A 60 Days Study Plan , Spend 1-3hrs 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 Course introduction video

Lecture 2 Outline of the course

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

Section 2: Project-1: Forecasting Renewable Energy Generation: Time Series and Regression

Lecture 4 Introduction - Forecasting Renewable Energy Generation

Lecture 5 Data processing

Lecture 6 Model training and Testing

Lecture 7 Predicting Future Values

Lecture 8 Flask App

Lecture 9 Download the project files

Section 3: Project-2: Predicting Diamond Sales Price with Multiple Regression Methods

Lecture 10 Introduction - Predicting Diamond Sales Price

Lecture 11 Data Reading and Processing

Lecture 12 Model

Lecture 13 Flask App

Lecture 14 Download the project files

Section 4: Project-3: Ethereum Price Prediction using GRU/LSTMs for Forecasting

Lecture 15 Introduction - Ethereum Price Prediction using GRU/LSTMs for Forecasting

Lecture 16 Data pre processing

Lecture 17 Feature Creation and processing

Lecture 18 Model

Lecture 19 Flask App

Lecture 20 Download the project files

Section 5: Project-4: Detecting Stress Levels from PPG Sensor Data using Neural Networks

Lecture 21 Introduction

Lecture 22 Reading the Dataset

Lecture 23 Model

Lecture 24 Flask App

Lecture 25 Download the project files

Section 6: Project-5: Classification of Brain Tumors with CNN and OpenCV

Lecture 26 Introduction

Lecture 27 Data Reading and processing

Lecture 28 Model

Lecture 29 Flask App

Lecture 30 Download the project files

Section 7: Project-6: Age and Gender Prediction from Chest X-Ray Scans using CNN and OpenCV

Lecture 31 Introduction - Age and Gender Prediction from Chest X-Ray Scans using CNN

Lecture 32 Data pre processing

Lecture 33 Model

Lecture 34 Flask App

Lecture 35 Download the project files

Section 8: Project-7: COVID-19 Detection from CT Scans using ResNet, DenseNet, and VGG Mode

Lecture 36 Introduction

Lecture 37 Data Preprocessing

Lecture 38 Model

Lecture 39 Flask App

Lecture 40 Download the project files

Section 9: Project-8: Detecting DeepFakes with ResNet and CNN

Lecture 41 Introduction - Detecting DeepFakes with ResNet and CNN

Lecture 42 Data Preprocessing

Lecture 43 Model

Lecture 44 Flask App

Lecture 45 Download the project files

Section 10: Project-9: Automatic Number Plate Recognition using ResNet and CNN

Lecture 46 Introduction - Automatic Number Plate Recognition using ResNet and CNN

Lecture 47 Data preprocessing

Lecture 48 Model

Lecture 49 Flask App

Lecture 50 Download the project files

Section 11: Project-10: Land Segmentation using U-Net Architecture

Lecture 51 Introduction

Lecture 52 Data Preprocessing

Lecture 53 Model

Lecture 54 Flask App

Lecture 55 Download the project files

Section 12: Project-11: LingoLinx: Unleashing Multilingual Magic - Language Translator App

Lecture 56 Introduction

Lecture 57 Setting Service

Lecture 58 Integrating Service

Lecture 59 Coding the UI

Lecture 60 Delpoyment on Heroku

Lecture 61 Download the project files

Section 13: Project-12: AdView Pro: Cracking the Code of Ad View Predictions with IBM Watson

Lecture 62 Project Overview

Lecture 63 Introduction to Adview pro : cracking the code of Adview predictions

Lecture 64 Setting up Watson Studio Part 1

Lecture 65 Setting up Watson Studio Part 2

Lecture 66 Deploying the Model on Deployment Center

Lecture 67 Integrating Watson Service with UI

Lecture 68 Deployment on Heroku Cloud

Lecture 69 Download the project files

Section 14: Project-13: LappyPricer: Decoding Laptop Prices with Heroku's Predictive Powers

Lecture 70 Overview

Lecture 71 EDA Part 1

Lecture 72 EDA Part 2

Lecture 73 EDA Part 3

Lecture 74 EDA Part 4

Lecture 75 EDA part 5

Lecture 76 EDA Part 6

Lecture 77 EDA Part 7

Lecture 78 Model Building Part 1

Lecture 79 Model Building Part 2

Lecture 80 Model Building part 3

Lecture 81 Model Building Part 4

Lecture 82 Integrating with UI

Lecture 83 Deployment on Heroku

Lecture 84 Model Building Part-5

Lecture 85 Download the project files

Section 15: Project-14: TextWise: Unveiling Insights from WhatsApp Text with Heroku's Analyt

Lecture 86 Introduction

Lecture 87 Fetching Data from Whatsapp

Lecture 88 Project Structure

Lecture 89 Text Processing Part 1

Lecture 90 Text Processing Part 2

Lecture 91 Text Processing Part 3

Lecture 92 Text Processing Part 4

Lecture 93 Text Anaytics Part 1

Lecture 94 Text Analytics Part 2

Lecture 95 Text Analytics Part 3

Lecture 96 Text Analytics Part 4

Lecture 97 Text Analytics Part 5

Lecture 98 Text Analytics Part 6

Lecture 99 Deployment on Heroku Cloud

Lecture 100 Download the project files

Section 16: Project-15: SmartCourse: Guiding Your Academic Journey - Course Recommendation

Lecture 101 Introduction to SmartCourse : Guiding your Academic Journey

Lecture 102 Coding Recommendation System

Lecture 103 Integrating with Flask Server

Lecture 104 Exploratory Data Analysis

Lecture 105 Integrating Python Code with Javascript

Lecture 106 Deployment on Heroku Cloud

Lecture 107 Download the project files

Section 17: Project-16: IPL Prophets: Predicting IPL Match Wins with a Touch of Heroku Magic

Lecture 108 Introduction to IPL Prophets : predicting IPL Match wins with a touch of Heroku

Lecture 109 EDA Part 1

Lecture 110 EDA Part 2

Lecture 111 EDA part 3

Lecture 112 EDA Part 4

Lecture 113 Model Building

Lecture 114 Coding the UI

Lecture 115 Deployment on Heroku Cloud

Lecture 116 Download the project files

Section 18: Project-17: BodyFit: Sculpting Your Body Fat Estimator App on Microsoft Azure

Lecture 117 Introduction

Lecture 118 EDA Part 1

Lecture 119 EDA Part 2

Lecture 120 Feature Selection Part 1

Lecture 121 Feature Selection Part 2

Lecture 122 Model Building

Lecture 123 Model Evaluation

Lecture 124 Coding the UI Part 1

Lecture 125 Coding the UI Part 2

Lecture 126 Model Deployment on Azure Part 1

Lecture 127 Model Deployment on Azure Part 2

Lecture 128 Download the project files

Section 19: Project-18: CareerPath: Paving the Way to Campus Placement Success on Microsoft

Lecture 129 Introduction

Lecture 130 Data Preprocessing

Lecture 131 EDA Part 1

Lecture 132 EDA Part 2

Lecture 133 Feature Selection

Lecture 134 Model Building

Lecture 135 HyperParameter Tuning, Model Testing

Lecture 136 Coding the UI part 1

Lecture 137 Coding the UI part 2

Lecture 138 Coding the UI part 3

Lecture 139 Deployment Part 1

Lecture 140 Deployment Part 2

Lecture 141 Download the project files

Section 20: Project-19: AutoCar: Driving the Future of Car Acceptability Prediction on Googl

Lecture 142 Introduction

Lecture 143 Data Preprocessing

Lecture 144 Model Building

Lecture 145 Coding the UI

Lecture 146 Integrating Jinja Framework

Lecture 147 Integrating JavaScript with Flask

Lecture 148 Deployment on GCP

Lecture 149 Download the project files

Section 21: Project-20: GenreGenius: A Journey into Book Genres with Amazon Web Services

Lecture 150 Introduction

Lecture 151 Text Processing Part 1

Lecture 152 Text Processing Part 2

Lecture 153 Model Building

Lecture 154 Model Testing

Lecture 155 Integrating Model with Flask

Lecture 156 Touch Point on AWS

Lecture 157 Deploying Model on AWS EC2 Instance

Lecture 158 Fixing Errors

Lecture 159 Download the project files

Section 22: Project-21: DNA Seeker: Unraveling Genetic Clues - E.Coli Classification Adventu

Lecture 160 Introduction to project

Lecture 161 Understanding the libraries and dataset

Lecture 162 Preprocessing the data

Lecture 163 Building and training the model

Lecture 164 Understanding MLPClassifier model

Lecture 165 Understanding the Django framework

Lecture 166 Running our Django application

Lecture 167 Hosting on AWS

Lecture 168 Hosting on AWS

Lecture 169 Hosting on AWS

Lecture 170 Download the project files

Section 23: Project-22: WordWizard: Unleashing Sentence Sorcery - Predicting the Next Word o

Lecture 171 Introduction

Lecture 172 Text tokenization and vectorization

Lecture 173 Text tokenization and vectorization

Lecture 174 Building and training the model

Lecture 175 Django framework

Lecture 176 Setting up the website and unsderstanding the flow

Lecture 177 Understanding the AWS cloud system

Lecture 178 Setting up the server and hosting the website

Lecture 179 Download the project files

Section 24: Project-23: SeqMaster: Journey into Sequence Prediction - LSTM Adventures on AWS

Lecture 180 Introduction

Lecture 181 Understanding the libraries and dataset

Lecture 182 Building and training the model

Lecture 183 understanding the Django Framework

Lecture 184 Working witht the django framework to build the website

Lecture 185 Instantiating the instance with ec2

Lecture 186 Setting and running the server

Lecture 187 Download the project files

Section 25: Project-24: KeywordGenie: Unlocking Textual Treasures - Keyword Extraction using

Lecture 188 Introduction

Lecture 189 Introduction to libraries and data preprocessing

Lecture 190 Developing the TF-IDF model

Lecture 191 Understanding the django framework

Lecture 192 Finalizing the website

Lecture 193 Setting up the Azure VM

Lecture 194 Setting and running the server

Lecture 195 Download the project files

Section 26: Project-25: SpellCheck Plus: Vanishing Typos - Spelling Correction Wizardry on A

Lecture 196 Introduction

Lecture 197 Brief of libraries and preprocessing done

Lecture 198 Developing the NLP model

Lecture 199 Setting up the django application

Lecture 200 Working on the django website

Lecture 201 Creating the VM instance on Azure

Lecture 202 Setting up the VM for hosting

Lecture 203 Download the project files

Section 27: Project-26: MusicTrends: Dancing with Popularity - Music Popularity Classificati

Lecture 204 Introduction

Lecture 205 Creating dataset through spotify API

Lecture 206 Understanding the libraries and preprocessing the data

Lecture 207 Developing the model

Lecture 208 Setting up the django project

Lecture 209 running our django application

Lecture 210 Setting up the VM

Lecture 211 Setting up the VM part-2

Lecture 212 setting the code in VM

Lecture 213 Download the project files

Section 28: Project-27: AdClassify: Decoding Advertisements - Advertisement Classification

Lecture 214 Introduction

Lecture 215 Understanding the libraries and the dataset

Lecture 216 Understanding TF-IDF

Lecture 217 Developing the LSTM model

Lecture 218 Configuring the django porject

Lecture 219 Running the django application

Lecture 220 Setting up the VM part-1

Lecture 221 Setting up the VM part-2

Lecture 222 Running the VM

Lecture 223 Download the project files

Section 29: Project-28: DigitDetect: Cracking the Code of Image Digits - Image Digit Classif

Lecture 224 Introduction

Lecture 225 Creating and preprocessing the dataset

Lecture 226 Building the baseline and CNN model

Lecture 227 Setting up the django application

Lecture 228 updating the website

Lecture 229 Instantiating the VM

Lecture 230 setting the code inside the VM

Lecture 231 Download the project files

Section 30: Project-29: EmoSense: Delving into Emotions - Emotion Recognition with Neural

Lecture 232 Introduction

Lecture 233 Understanding the libraries and model

Lecture 234 Building and training the model

Lecture 235 Setting up the django project

Lecture 236 Running the django application

Lecture 237 Setting up the VM

Lecture 238 Running our code in the VM

Lecture 239 Download the project files

Section 31: Project-30: CancerGuard: Fighting Against Breast Cancer - Classification on AWS

Lecture 240 Introduction

Lecture 241 Understanding the libraries and dataset

Lecture 242 Developing the model

Lecture 243 Setting up the django application

Lecture 244 Running the django application

Lecture 245 Setting up the VM

Lecture 246 Running the VM

Lecture 247 Download the project files

Lecture 248 Download the project files

Section 32: Project-31: Unsupervised Clustering of COVID Nucleotide Sequences using K-Means

Lecture 249 Introduction

Lecture 250 Model

Lecture 251 Download the project files

Section 33: Project-32: Weed Detection in Soybean Crops using Computer Vision

Lecture 252 Introduction

Lecture 253 Data processing

Lecture 254 Model

Lecture 255 Flask

Lecture 256 Download the project files

Section 34: Project-33: PixelPal: Transforming Images with OpenCV and Tkinter - Image Editor

Lecture 257 Introduction

Lecture 258 tkinter 1

Lecture 259 tkinter2

Lecture 260 cvbasics

Lecture 261 Implementing Frames 1

Lecture 262 Implementing Frames 2

Lecture 263 Implementing Canvas

Lecture 264 Sub Menu projects course

Lecture 265 Finishing Front End

Lecture 266 Image on canvas

Lecture 267 Applying Filters

Lecture 268 Cropping

Lecture 269 Saving Images

Lecture 270 Download the project files

Section 35: Project-34: BrandQuest: Unveiling Brand Identifications with Tkinter and SQLite

Lecture 271 Introduction

Lecture 272 tkinter_basics

Lecture 273 sqlite_basics

Lecture 274 developing_frontend

Lecture 275 implementing-logic

Lecture 276 creating-database

Lecture 277 integrating_database_with_tkinter

Lecture 278 Download the project files

Section 36: Project-35: TransactionTracker: Monitoring Financial Flows with Tkinter

Lecture 279 Introduction

Lecture 280 tkinter-basics

Lecture 281 sqlite-basics

Lecture 282 front-end

Lecture 283 authentication-and-management

Lecture 284 managing-transaction

Lecture 285 managing-profile-picture

Lecture 286 Download the project files

Section 37: Project-36: LearnEase: Nurturing Knowledge with Django - Learning Management

Lecture 287 Introduction

Lecture 288 setting_up

Lecture 289 building_models 1

Lecture 290 building_models 2

Lecture 291 admin_and_querying

Lecture 292 registration_and_login

Lecture 293 implementing_profile

Lecture 294 implementing profile

Lecture 295 results_with_matplotlib

Lecture 296 Interactive_graph

Lecture 297 answering_assignments

Lecture 298 staff_assignment_view

Lecture 299 Download the project files

Section 38: Project-37: NewsWave: Riding the Waves of News -Create A News Portal with Django

Lecture 300 Introduction

Lecture 301 setting_up

Lecture 302 implementing_models

Lecture 303 login_and_registration

Lecture 304 profiles

Lecture 305 news_home

Lecture 306 filtering_news

Lecture 307 efficient_code

Lecture 308 adding_news

Lecture 309 Download the project files

Section 39: Project-38: StudentVerse: Journey into Student Life - Create A Student Portal

Lecture 310 Introduction

Lecture 311 setting_up

Lecture 312 homepage_and_api_requests

Lecture 313 login_and_registration

Lecture 314 handling_notes

Lecture 315 todos_and_homeworks

Lecture 316 conversion_page

Lecture 317 Download the project files

Section 40: Project-39: ProductivityPro: Tracking Progress with Django and Plotly

Lecture 318 Introduction

Lecture 319 setting_up

Lecture 320 login_and_registration

Lecture 321 todo_implementation

Lecture 322 profile_implementation

Lecture 323 Download the project files

Section 41: Project-40: StudyConnect: Forging Study Bonds - Create A Study Group with Django

Lecture 324 Introduction

Lecture 325 setting_up

Lecture 326 login_and_registration

Lecture 327 ER_diagram

Lecture 328 groups_implementation

Lecture 329 filtering

Lecture 330 Download the project files

Section 42: Project-41: Global Data Professionals Benchmarking Dashboard

Lecture 331 Introduction

Lecture 332 Data Cleaning

Lecture 333 Data Visualization part 1

Lecture 334 Data Visualization part 2

Section 43: Project-42: Beijing Air Quality Dashboard: DAX and Visualizations

Lecture 335 Introduction

Lecture 336 Data Cleaning

Lecture 337 Visualization part 1

Lecture 338 Visualization part 2

Lecture 339 Download the project files

Section 44: Project-43: Real Estate in Daegu: Apartment Pros and Cons Analysis

Lecture 340 Introduction

Lecture 341 Visualization part 1

Lecture 342 Visualization part 2

Lecture 343 Download the project files

Section 45: Project-44: Super Market Sales Analysis: Power Query and DAX

Lecture 344 Introduction

Lecture 345 Data Cleaning

Lecture 346 Visualization 1

Lecture 347 Visualization 2

Section 46: Project-45: COVID-19 WHO Dataset Insights: Power Query and DAX

Lecture 348 Introduction _ Data Cleaning

Lecture 349 Visualization part 1

Lecture 350 Visualization part 2

Lecture 351 Download the project files

Section 47: Project-46: Credit Card Defaulters Analysis: Power Query and DAX

Lecture 352 Introduction

Lecture 353 Data Cleaning

Lecture 354 Visualization part 1

Lecture 355 Visualization part 2

Lecture 356 Download the project files

Section 48: Project-47: Crime in Chicago: 3-Year Analysis with Visualization

Lecture 357 Introduction and data cleaning

Lecture 358 Visualization part 1

Lecture 359 Visualization Part 2

Lecture 360 Download the project files

Section 49: Project-48: Customer Churn Analysis: Real-World Business Problem

Lecture 361 Introduction

Lecture 362 Transformation

Lecture 363 Relationships and DAX

Lecture 364 Visualization

Lecture 365 Download the project files

Section 50: Project-49: Customer Churn Analysis (Advanced Features): Data Modeling

Lecture 366 Introduction

Lecture 367 Transformation

Lecture 368 Relationships and DAX

Lecture 369 Visualization

Lecture 370 Download the project files

Section 51: Project-50: Attrition Analysis: HR Data Transformation and Visualization

Lecture 371 Introduction

Lecture 372 Data Cleaning

Lecture 373 Visualization part 1

Lecture 374 Visualization part 2

Lecture 375 Download the project files

Section 52: Project-51: Revenue Analysis Dashboard: Business Insights and Trends

Lecture 376 Visualization part 1

Lecture 377 Visualization part 2

Section 53: Project-52: AirBnbs in Seattle: Rental Market Analysis

Lecture 378 Introduction to Data and Dashboard

Lecture 379 Joining tables and vizualization part 1

Lecture 380 Visualization Part 2

Lecture 381 Final dashboard

Lecture 382 Download the project files

Section 54: Project-53: New Year Resolution Tweets: Social Media Analysis

Lecture 383 Introduction to project

Lecture 384 Visualization Part 1

Lecture 385 Visualization part 2 and Creation of dashboard

Lecture 386 Download the project files

Section 55: Project-54: Road Accident in the UK: Safety Analysis

Lecture 387 Calculated Fields and Parameters

Lecture 388 Creating cards

Lecture 389 Creating sparklines

Lecture 390 Grouping Data

Lecture 391 Pie charts

Lecture 392 Maps and final dashboard

Section 56: Project-55: Ecommerce Sales Dashboard: Sales Optimization

Lecture 393 Introduction

Lecture 394 Building KPIs

Lecture 395 Building a donut Chart

Lecture 396 Stacked Bar Chart

Lecture 397 Building a Dashboard

Lecture 398 Download the project files

Section 57: Project-56: Super Store Sales Dashboard: Retail Analysis

Lecture 399 Introduction

Lecture 400 Key Performance Indicators

Lecture 401 Other Visualizations

Lecture 402 Building the Dashboard

Lecture 403 Download the project files

Section 58: Project-57: Credit Card Complaints: Customer Feedback Analysis

Lecture 404 Introduction

Lecture 405 Building KPIs

Lecture 406 Building trend lines

Lecture 407 Final Dashboard.

Lecture 408 Download the project files

Section 59: Project-58: Data Science Career Dashboard: Job Market Trends

Lecture 409 Introduction

Lecture 410 Getting started with visualizations

Lecture 411 Visualization part 2

Lecture 412 Building a Map

Lecture 413 Final dashboard Creation

Lecture 414 Download the project files

Section 60: Project-59: Amazon Prime Video Dashboard: Streaming Insights

Lecture 415 Introduction

Lecture 416 Building a Radial Bar chart

Lecture 417 Donut charts _ Area charts

Lecture 418 Creating Text Sheets

Lecture 419 Dashboard Building

Lecture 420 Download the project files

Section 61: Project-60: Traffic Collision in Seattle: Safety and Traffic Analysis

Lecture 421 Introduction to dashboard

Lecture 422 Interactive Map Building

Lecture 423 Visualizations part 2

Lecture 424 Building the Dashboard

Lecture 425 Download the project files

Beginners in data science