DataCamp
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20 hours ago •
ShantanilBagchi
ShantanilBagchi
DataCamp: 1) Data Scientist with Python 2) Data Analyst with Python 3) Data Analyst with SQL Server 4) Machine Learning Scientist with Python
DataCamp
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Contents
Career Tracks
- Data Scientist with Python
- Data Analyst with Python
- Data Analyst with SQL Server
- Data Science for Everyone
- Machine Learning Scientist with Python
Skill Tracks
Data Scientist with Python
| Course | Slides | Dataset | Notes | Solutions |
|---|---|---|---|---|
| Introduction to Python | - | - | - | - |
| Intermediate Python | - | - | - | - |
| PROJECT TV, Halftime Shows, and the Big Game | - | - | - | - |
| Data Manipulation with pandas | - | - | - | - |
| PROJECT The Android App Market on Google Play | - | - | - | - |
| Merging DataFrames with pandas | - | - | - | - |
| PROJECT The GitHub History of the Scala Language | - | - | - | - |
| Introduction to Data Visualization with Matplotlib | - | - | - | - |
| Introduction to Data Visualization with Seaborn | - | - | - | - |
| Python Data Science Toolbox (Part 1) | - | - | link | - |
| Python Data Science Toolbox (Part 2) | - | - | - | - |
| Intermediate Data Visualization with Seaborn | - | - | - | - |
| PROJECT A Visual History of Nobel Prize Winners | - | - | - | - |
| Introduction to Importing Data in Python | - | - | - | - |
| Intermediate Importing Data in Python | - | - | - | - |
| Importing & Cleaning Data with Python | - | - | - | - |
| Cleaning Data in Python | - | - | - | - |
| Working with Dates and Times in Python | - | - | - | - |
| Writing Functions in Python | - | - | - | - |
| Exploratory Data Analysis in Python | - | - | - | - |
| Analyzing Police Activity with pandas | - | - | - | - |
| Statistical Thinking in Python (Part 1) | - | - | - | - |
| Statistical Thinking in Python (Part 2) | - | - | - | - |
| PROJECT Dr. Semmelweis and the Discovery of Handwashing | - | - | - | - |
| Supervised Learning with scikit-learn | - | - | - | - |
| PROJECT Predicting Credit Card Approvals | - | - | - | - |
| Unsupervised Learning in Python | - | - | - | - |
| Machine Learning with Tree-Based Models in Python | - | - | - | - |
| Case Study: School Budgeting with Machine Learning in Python | - | - | - | - |
| Cluster Analysis in Python | - | - | - | - |
Data Analyst with Python
| Course | Slides | Dataset | Notes | Solutions |
|---|---|---|---|---|
| Introduction to Data Science in Python | - | - | - | - |
| Intermediate Python | - | - | - | - |
| Data Manipulation with pandas | - | - | - | - |
| Merging DataFrames with pandas | - | - | - | - |
| Introduction to Data Visualization with Matplotlib | - | - | - | - |
| Introduction to Data Visualization with Seaborn | - | - | - | - |
| Introduction to Importing Data in Python | - | - | - | - |
| Intermediate Importing Data in Python | - | - | - | - |
| Cleaning Data in Python | - | - | - | - |
| Exploratory Data Analysis in Python | - | - | - | - |
| Analyzing Police Activity with pandas | - | - | - | - |
| Introduction to SQL | - | - | - | - |
| Streamlined Data Ingestion with pandas | - | - | - | - |
| Introduction to Relational Databases in SQL | - | - | - | - |
| Joining Data in SQL | - | - | - | - |
| Introduction to Databases in Python | - | - | - | - |
Data Analyst with SQL Server
| Course | Solutions |
|---|---|
| Introduction to SQL Server | link |
| Introduction to Relational Databases in SQL | link |
| Intermediate SQL Server | link |
| Time Series Analysis in SQL Server | - |
| Functions for Manipulating Data in SQL Server | - |
| Database Design | link |
| Hierarchical and Recursive Queries in SQL Server | - |
| Transactions and Error Handling in SQL Server | - |
| Writing Functions and Stored Procedures in SQL Server | - |
| Building and Optimizing Triggers in SQL Server | link |
| Improving Query Performance in SQL Server | - |
Data Science for Everyone
| Course | Slides | Dataset | Notes | Solutions |
|---|---|---|---|---|
| Introduction to Python | - | - | - | - |
| Intermediate Python | - | - | - | - |
| Python Data Science Toolbox (Part 1) | - | - | - | - |
| Python Data Science Toolbox (Part 2) | - | - | - | - |
| Introduction to Importing Data in Python | - | - | - | - |
| Intermediate Importing Data in Python | - | - | - | - |
| Cleaning Data in Python | - | - | - | - |
| Data Manipulation with pandas | - | - | - | - |
| Merging DataFrames with pandas | - | - | - | - |
| Analyzing Police Activity with pandas | - | - | - | - |
| Introduction to SQL | - | - | - | - |
| Introduction to Relational Databases in SQL | - | - | - | - |
| Introduction to Data Visualization with Matplotlib | - | - | - | - |
| Introduction to Data Visualization with Seaborn | - | - | - | - |
| Statistical Thinking in Python (Part 1) | - | - | - | - |
| Statistical Thinking in Python (Part 2) | - | - | - | - |
| Joining Data in SQL | - | - | - | - |
| Introduction to Shell | - | - | - | - |
| Conda Essentials | - | - | - | - |
| Supervised Learning with scikit-learn | - | - | - | - |
| Case Study: School Budgeting with Machine Learning in Python | - | - | - | - |
| Unsupervised Learning in Python | - | - | - | - |
| Machine Learning with Tree-Based Models in Python | - | - | - | - |
| Introduction to Deep Learning in Python | - | - | - | - |
| Introduction to Network Analysis in Python | - | - | - | - |
Machine Learning Scientist with Python
| Course | Slides | Dataset | Notes | Solutions |
|---|---|---|---|---|
| Machine Learning for Everyone | - | - | - | - |
| Introduction to Python | - | - | - | - |
| Intermediate Python | - | - | - | - |
| Python Data Science Toolbox (Part 1) | - | - | - | - |
| Python Data Science Toolbox (Part 2) | - | - | - | - |
| Statistical Thinking in Python (Part 1) | - | - | - | - |
| Supervised Learning with scikit-learn | - | - | - | - |
| Unsupervised Learning in Python | - | - | - | - |
| Linear Classifiers in Python | - | - | - | - |
| Machine Learning with Tree-Based Models in Python | - | - | - | - |
| Extreme Gradient Boosting with XGBoost | - | - | - | - |
| Cluster Analysis in Python | - | - | - | - |
| Dimensionality Reduction in Python | - | - | - | - |
| Preprocessing for Machine Learning in Python | - | - | - | - |
| Machine Learning for Time Series Data in Python | - | - | - | - |
| Feature Engineering for Machine Learning in Python | - | - | - | - |
| Model Validation in Python | - | - | - | - |
| Introduction to Natural Language Processing in Python | - | - | - | - |
| Feature Engineering for NLP in Python | - | - | - | - |
| Introduction to TensorFlow in Python | - | - | - | - |
| Introduction to Deep Learning in Python | - | - | - | - |
| Introduction to Deep Learning with Keras | - | - | - | - |
| Advanced Deep Learning with Keras | - | - | - | - |
| Image Processing in Python | - | - | - | - |
| Image Processing with Keras in Python | - | - | - | - |
| Hyperparameter Tuning in Python | - | - | - | - |
| Introduction to PySpark | - | - | - | - |
| Machine Learning with PySpark | - | - | - | - |
| Winning a Kaggle Competition in Python | - | - | - | - |
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ShantanilBagchi
Metadata
DataCamp: 1) Data Scientist with Python 2) Data Analyst with Python 3) Data Analyst with SQL Server 4) Machine Learning Scientist with Python