Data Analysis using Pandas (TTPS4878)

Students

Lectures

Updated

March 10, 2023

Duration

Unlimited Duration

A core component of our Python Learning Journey series, the Hands-on Data Analysis with Pandas course explores the powerful pandas library, teaches you how to wrangle and clean data, and how to use visualizations to uncover hidden patterns. With a focus on machine learning, you'll master techniques such as regression, clustering, and classification, and leave the course with the skills to turn your data into valuable insights.

Unlock the secrets hidden within your data and elevate your skills to the next level! This highly engaging course is designed for data enthusiasts with prior Python scripting experience. Get ready to dive into a world of endless possibilities as you learn how to transform raw data into valuable insights.

With real-world datasets, you'll sharpen your data analysis skills using the highly efficient pandas library and get hands-on experience in data wrangling, cleaning, and aggregating. Enhance your data storytelling skills by calculating summary statistics and visually exploring your data to uncover hidden patterns. In the advanced lessons, you'll unleash the power of machine learning, mastering techniques such as anomaly detection, regression, clustering, and classification using scikit-learn. By the end of the course, you'll be able to confidently turn your data into actionable insights, making informed decisions and driving business success.

1. Introduction to Data Analysis
- Overview Unlimited
- Introduction Unlimited
- Introduction to Data Analysis Unlimited
- Where is this used in the real world? Unlimited
- Python Overview Unlimited
- Python Overview Exercise 1 Unlimited
- Python Overview Exercise 2 Unlimited
- Load Data Unlimited
- Data Loading Exercise Unlimited
- sklearn Unlimited
- Hyperparameters Unlimited
- Hyperparmeters Vs. Model Parameters Unlimited
- The sklearn API (let’s make predictions!) Unlimited
- sklearn API Exercise Unlimited
- Module Assignment Unlimited
- Group Activity Unlimited
2. Introduction to Statistical Analysis with Data
- Introduction to Statistics Unlimited
- Univariate Analysis Unlimited
- Univariate Analysis with Python Unlimited
- Univariate Analysis with Categorical Variables Unlimited
- Univariate Analysis Lab Unlimited
- Bivariate Analysis Unlimited
- Bivariate Analysis with Python Unlimited
- C2C, C2N, N2N Unlimited
- Bivariate Analysis Lab Unlimited
- Multivariate Analysis Unlimited
- Multivariate Analysis Lab Unlimited
- Statistical Analysis Activity Unlimited
3. Data Preparation
- Overview Unlimited
- Introduction Unlimited
- Data Preparation Unlimited
- Handling Duplicates Unlimited
- Duplicates Lab Unlimited
- Convert Data Types Unlimited
- Convert Data Types Lab Unlimited
- Missing Values Unlimited
- Visualizing Missing Values Unlimited
- Missing Values Lab Unlimited
- Feature Selection Unlimited
- Feature Selection Lab Unlimited
4. Data Cleaning and Exploratory Data Analysis
- Overview Unlimited
- Data Cleaning and Exploratory Data Analysis Unlimited
- Introduction to Data Cleaning Unlimited
- info() Unlimited
- unique() and nunique() Unlimited
- value_counts() Unlimited
- Dupes Unlimited
5. Analyzing a Dataset
- Overview Unlimited
- Analyzing a Dataset Unlimited
6. Exploring Feature Engineering for Machine Learning
- Overview Unlimited
- Exploring Feature Engineering for Machine Learning Unlimited
7. Introduction to Machine Learning
- Overview Unlimited
- Introduction to Machine Learning Unlimited
- Treat Columns Unlimited
- Missing Values Unlimited
Activities
- EDA Day 2 Group Exercise Unlimited
- Day 2: EDA Assignment 1 week, 3 days
- Day 3: Model / Harness Assignment 1 week, 3 days
- Day 4: Feature Selection Assignment 1 week, 3 days
- Day 5: Feature Importance 1 week, 3 days