Full Stack Python Development Building RealWorld Application
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- Curriculum
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Are you ready to become a proficient full-stack developer using Python? This course is your ultimate guide to mastering full-stack development, focusing on building real-world, scalable applications. Whether you are a beginner or have prior programming experience, this course provides a hands-on approach to understanding and implementing Python in full-stack development.
In this course, you will:
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Learn Python fundamentals for backend development.
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Master frontend frameworks like React and HTML/CSS.
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Build robust APIs using Flask and Django.
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Understand database integration with MySQL, PostgreSQL, and MongoDB.
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Deploy web applications on cloud platforms like AWS and Heroku.
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Collaborate on real-world projects, following Agile and Git-based workflows.
By the end of the course, you will have built a fully functional, real-world application and gained the confidence to tackle modern web development challenges.
This course is perfect for students, software professionals, and anyone passionate about creating impactful, scalable web solutions.
Enroll now and begin your journey to becoming a Full Stack Python Developer!
By the end of the course, you will have built a fully functional, real-world application and gained the confidence to tackle modern web development challenges.
This course is perfect for students, software professionals, and anyone passionate about creating impactful, scalable web solutions.
Enroll now and begin your journey to becoming a Full Stack Python Developer!
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1Python Lists: Your Creative ToolkitVideo lesson
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2Mastering List Magic: Advanced TechniquesVideo lesson
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3From Data to Art: Lists and Tuples in ActionVideo lesson
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4Unleash Your Creativity with SetsVideo lesson
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5Organizing Your Art with DictionariesVideo lesson
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6Text Alchemy: String Manipulation in PythonVideo lesson
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7Time as Art: Working with Dates and Times in PythonVideo lesson
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8Data-Driven Storytelling: Customer Churn PredictionVideo lesson
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9The Power of Lambda: Functional Programming for ArtistsVideo lesson
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10Map, Reduce, and Conquer: Functional Programming EssentialsVideo lesson
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11Building Blocks of Creativity: Functions in PythonVideo lesson
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12Function Mastery: Arguments, Scope, and BeyondVideo lesson
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13Recursive Art: Unlocking Patterns with PythonVideo lesson
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14Time as a Feature: Engineering with DatetimeVideo lesson
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15Unveiling the Iris Dataset: A Machine Learning PreludeVideo lesson
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16Python's Math and Random ToolboxVideo lesson
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17Exploring Your Data: File Handling and EDAVideo lesson
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18Finding Patterns: Correlation and VisualizationVideo lesson
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19Data Distributions: Telling Your StoryVideo lesson
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20Spotting the Unusual: Outlier Detection TechniquesVideo lesson
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21Mastering Outliers: Advanced Detection StrategiesVideo lesson
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22Data Preparation: The Foundation for Artful InsightsVideo lesson
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23Logistic Regression: From Zero to HeroVideo lesson
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24Demystifying Logistic Regression MathVideo lesson
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25Logistic Regression: Real-World Examples You Can't IgnoreVideo lesson
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26Data Cleaning: The Unsung Hero of MLVideo lesson
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27Feature Engineering Magic: Transform Your DataVideo lesson
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28Know Your Model: Essential Evaluation MetricsVideo lesson
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29NLP for Beginners: Start with Logistic RegressionVideo lesson
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30Supercharge Your NLP with Advanced TechniquesVideo lesson
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31Transfer Learning: The NLP Shortcut You NeedVideo lesson
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32Taming COVID-19 Data: A Data Scientist's GuideVideo lesson
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33Unmasking COVID-19 Trends: Data-Driven InsightsVideo lesson
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34The Machine Learning Lifecycle: From Data to DeploymentVideo lesson
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35Text Preprocessing: Clean Up Your ActVideo lesson
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36Advanced Text Preprocessing: Unlock Hidden PatternsVideo lesson
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37Telling Stories with Text Data: EDA MasteryVideo lesson
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38Feature Engineering: The Secret to NLP SuccessVideo lesson
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39Optimize Your Model: Hyperparameter Tuning TipsVideo lesson
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40Finding the Perfect Hyperparameters: A Practical GuideVideo lesson
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41Regularization: Prevent Overfitting Like a ProVideo lesson
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42Which Model Wins? A ShowdownVideo lesson
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43Linear Regression: The Building Block of MLVideo lesson
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44Linear Regression: Simple Models, Big ImpactVideo lesson
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45Boost Your Linear Regression GameVideo lesson
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46Decision Trees: Easy to Understand, Powerful to UseVideo lesson
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47Decision Trees: The Building BlocksVideo lesson
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48Mastering Entropy and Information GainVideo lesson
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49Avoid Overfitting: Deep Dive into Decision TreesVideo lesson
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50Handling Categorical Data: Decision Tree StyleVideo lesson
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51Train and Conquer: Decision Tree MasteryVideo lesson
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52Data-Driven Insights: Univariate AnalysisVideo lesson
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53Data Visualization: Tell Your Story VisuallyVideo lesson
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54Spotting Trends: Outliers and CorrelationsVideo lesson
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55Advanced Visualization: Uncover Hidden InsightsVideo lesson
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56Bivariate Analysis: Uncover RelationshipsVideo lesson
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57Multivariate Analysis: Mastering ComplexityVideo lesson
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58Time Series Analysis: Forecasting the FutureVideo lesson
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59K-means Clustering: Find Your PeopleVideo lesson
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60Mastering K-means: Tips and TricksVideo lesson
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61K-means in Action: Real-World ExamplesVideo lesson
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62Beyond K-means: Advanced Clustering TechniquesVideo lesson
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63Evaluating Your Clusters: Does It Make Sense?Video lesson

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