Data Science

10 Courses · 179 Lessons
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📖 C1 What is Data Science 4 Modules · 16 Lessons
▶ M1 Defining Data Science 4
1L1 Data Science Kya Hai→ 2L2 Data Science Process aur Lifecycle→ 3L3 Data Science Applications Across Industries→ 4L4 Module 1 Review→
▶ M2 What Do Data Scientists Do 4
1L1 A Day in the Life of a Data Scientist→ 2L2 Data Science Skills aur Tools→ 3L3 Data Science Teams aur Roles→ 4L4 Module 2 Review→
▶ M3 Big Data and Data Mining 4
1L1 Big Data Fundamentals→ 2L2 Big Data Technologies aur Ecosystem→ 3L3 Data Mining Concepts aur Techniques→ 4L4 Module 3 Review→
▶ M4 Deep Learning and Machine Learning 4
1L1 Machine Learning Fundamentals→ 2L2 Deep Learning Concepts→ 3L3 ML aur DL Applications in Data Science→ 4L4 Module 4 Review→
📖 C10 Applied Data Science Capstone 6 Modules · 20 Lessons
▶ M1 Data Collection 4
1L1 Capstone Project Introduction→ 2L2 Data Collection via API→ 3L3 Data Collection via Web Scraping→ 4L4 Module 1 Review→
▶ M2 Data Wrangling 3
1L1 Data Cleaning aur Preprocessing→ 2L2 Feature Engineering aur Transformation→ 3L3 Module 2 Review→
▶ M3 Exploratory Data Analysis 3
1L1 EDA with Visualization→ 2L2 EDA with SQL→ 3L3 Module 3 Review→
▶ M4 Interactive Visual Analytics 3
1L1 Interactive Maps with Folium→ 2L2 Interactive Dashboard with Dash→ 3L3 Module 4 Review→
▶ M5 Predictive Analysis 4
1L1 Data Preparation for ML→ 2L2 Building Classification Models→ 3L3 Model Evaluation aur Best Model Selection→ 4L4 Module 5 Review→
▶ M6 Final Presentation 3
1L1 Project Report Compilation→ 2L2 Presentation Design aur Delivery→ 3L3 Module 6 Review→
📖 C2 Tools for Data Science 5 Modules · 20 Lessons
▶ M1 Data Science Tools Overview 4
1L1 Data Science Tool Categories→ 2L2 Programming Languages for Data Science→ 3L3 Data Science Tool Ecosystem→ 4L4 Module 1 Review→
▶ M2 Open Source Tools 4
1L1 Python Libraries for Data Science→ 2L2 Deep Learning aur NLP Libraries→ 3L3 Open Source Data Management Tools→ 4L4 Module 2 Review→
▶ M3 Jupyter Notebooks and JupyterLab 4
1L1 Jupyter Notebook Introduction→ 2L2 Jupyter Notebook HandsOn→ 3L3 JupyterLab Next Generation IDE→ 4L4 Module 3 Review→
▶ M4 RStudio and GitHub 4
1L1 RStudio IDE→ 2L2 Git Version Control→ 3L3 GitHub Platform→ 4L4 Module 4 Review→
▶ M5 Cloud Based Data Science Tools 4
1L1 Cloud Computing for Data Science→ 2L2 Cloud Data Science Platforms→ 3L3 Cloud Tools HandsOn aur Best Practices→ 4L4 Module 5 Review→
📖 C3 Data Science Methodology 5 Modules · 15 Lessons
▶ M1 From Problem to Approach 3
1L1 Business Understanding→ 2L2 Analytical Approach→ 3L3 Module 1 Review→
▶ M2 From Requirements to Collection 3
1L1 Data Requirements→ 2L2 Data Collection→ 3L3 Module 2 Review→
▶ M3 From Understanding to Preparation 3
1L1 Data Understanding→ 2L2 Data Preparation→ 3L3 Module 3 Review→
▶ M4 From Modeling to Evaluation 3
1L1 Modeling→ 2L2 Evaluation→ 3L3 Module 4 Review→
▶ M5 From Deployment to Feedback 3
1L1 Model Deployment→ 2L2 Feedback and Monitoring→ 3L3 Module 5 Review→
📖 C4 Python for Data Science AI and Development 5 Modules · 22 Lessons
▶ M1 Python Basics 4
1L1 Python Kya Hai aur Setup→ 2L2 Variables aur Data Types→ 3L3 String Operations→ 4L4 Module 1 Review→
▶ M2 Python Data Structures 5
1L1 Lists→ 2L2 Tuples→ 3L3 Dictionaries→ 4L4 Sets→ 5L5 Module 2 Review→
▶ M3 Python Programming Fundamentals 5
1L1 Conditions aur Branching→ 2L2 Loops→ 3L3 Functions→ 4L4 Exception Handling→ 5L5 Module 3 Review→
▶ M4 Working with Data in Python 4
1L1 File Handling→ 2L2 NumPy Basics→ 3L3 pandas Basics→ 4L4 Module 4 Review→
▶ M5 APIs and Data Collection 4
1L1 REST APIs aur HTTP→ 2L2 Working with APIs HandsOn→ 3L3 Web Scraping with Python→ 4L4 Module 5 Review→
📖 C5 Python Project for Data Science 2 Modules · 6 Lessons
▶ M1 Extracting Stock Data 3
1L1 Project Setup aur yfinance Library→ 2L2 Stock Data Analysis aur Visualization→ 3L3 Module 1 Review→
▶ M2 Web Scraping and Data Analysis 3
1L1 Web Scraping Financial Data→ 2L2 Complete Data Analysis Project→ 3L3 Module 2 Review→
📖 C6 Databases and SQL for Data Science 6 Modules · 22 Lessons
▶ M1 Getting Started with SQL 4
1L1 SQL aur Databases Ka Introduction→ 2L2 SELECT Statement aur Basic Queries→ 3L3 INSERT UPDATE DELETE→ 4L4 Module 1 Review→
▶ M2 Relational Databases and Tables 3
1L1 Relational Database Concepts→ 2L2 CREATE ALTER DROP Table Management→ 3L3 Module 2 Review→
▶ M3 Intermediate SQL 4
1L1 Builtin Functions→ 2L2 GROUP BY aur HAVING→ 3L3 Subqueries aur Nested SELECT→ 4L4 Module 3 Review→
▶ M4 Accessing Databases using Python 3
1L1 Python DBAPI→ 2L2 SQL Magic aur Jupyter Integration→ 3L3 Module 4 Review→
▶ M5 Working with Real World Datasets 4
1L1 Working with Real Datasets→ 2L2 MultiTable Queries aur JOINs→ 3L3 Advanced Analysis with SQL→ 4L4 Module 5 Review→
▶ M6 Advanced SQL 4
1L1 Stored Procedures aur Functions→ 2L2 ACID Transactions→ 3L3 Window Functions aur Advanced Topics→ 4L4 Module 6 Review→
📖 C7 Data Analysis with Python 5 Modules · 20 Lessons
▶ M1 Importing Data Sets 4
1L1 Data Sources aur File Formats→ 2L2 pandas se Data Import karna→ 3L3 Initial Data Exploration→ 4L4 Module 1 Review→
▶ M2 Data Wrangling 4
1L1 Handling Missing Values→ 2L2 Data Formatting aur Standardization→ 3L3 Binning aur Indicator Variables→ 4L4 Module 2 Review→
▶ M3 Exploratory Data Analysis 4
1L1 Descriptive Statistics→ 2L2 Data Visualization for EDA→ 3L3 GroupBy aur Pivot Tables→ 4L4 Module 3 Review→
▶ M4 Model Development 4
1L1 Simple Linear Regression→ 2L2 Multiple Linear Regression→ 3L3 Polynomial Regression aur Pipelines→ 4L4 Module 4 Review→
▶ M5 Model Evaluation and Refinement 4
1L1 Model Evaluation Metrics→ 2L2 TrainTest Split aur CrossValidation→ 3L3 Ridge Regression aur Model Refinement→ 4L4 Module 5 Review→
📖 C8 Data Visualization with Python 4 Modules · 14 Lessons
▶ M1 Introduction to Data Visualization 4
1L1 Why Data Visualization Matters→ 2L2 matplotlib Fundamentals→ 3L3 matplotlib Advanced Features→ 4L4 Module 1 Review→
▶ M2 Basic and Specialized Visualization Tools 3
1L1 Area Plots aur Specialized Charts→ 2L2 Seaborn Statistical Visualizations→ 3L3 Module 2 Review→
▶ M3 Advanced Visualizations and Geospatial Data 3
1L1 Folium aur Map Visualizations→ 2L2 Choropleth Maps aur GeoJSON→ 3L3 Module 3 Review→
▶ M4 Creating Dashboards with Plotly and Dash 4
1L1 Plotly Interactive Charts→ 2L2 Dash Framework Interactive Web Dashboards→ 3L3 Complete Dashboard Project→ 4L4 Module 4 Review→
📖 C9 Machine Learning with Python 6 Modules · 24 Lessons
▶ M1 Introduction to Machine Learning 3
1L1 Machine Learning Basics→ 2L2 Machine Learning Workflow→ 3L3 Module 1 Review→
▶ M2 Regression 4
1L1 Simple Linear Regression→ 2L2 Multiple Linear Regression→ 3L3 Polynomial aur NonLinear Regression→ 4L4 Module 2 Review→
▶ M3 Classification 6
1L1 KNearest Neighbors KNN→ 2L2 Decision Trees→ 3L3 Logistic Regression→ 4L4 Support Vector Machines SVM→ 5L5 Classification Evaluation Metrics→ 6L6 Module 3 Review→
▶ M4 Clustering 4
1L1 KMeans Clustering→ 2L2 Hierarchical Clustering→ 3L3 DBSCAN→ 4L4 Module 4 Review→
▶ M5 Recommender Systems 3
1L1 ContentBased Recommender Systems→ 2L2 Collaborative Filtering→ 3L3 Module 5 Review→
▶ M6 Final Project 4
1L1 Project Setup aur Data Exploration→ 2L2 Model Building aur Training→ 3L3 Model Evaluation aur Comparison→ 4L4 Module 6 Review→