Python for Data (PDA03)

Learn how to use Python for data analysis. This course covers essential Python libraries and techniques for data manipulation, cleaning, and visualisation. You'll gain the ability to extract meaningful insights from data.

Course curriculum

1. 1.1 Understanding Numpy
2. 1.2 Why do we use Numpy?
3. 1.3 Numpy Used in Arrays
4. 1.4 Built in Functions in Numpy
5. 1.5 Working with Numpy Arrays
1. 1.1 - Getting Started with Python
2. 1.2 - Python Programming Basics
3. Test Your Knowledge
1. 2.1 NumPy for Numerical Data
2. 2.2 Why Do We Need Numpy?
3. 2.3 Multidimensional Arrays
4. 2.4 Basic Statistics with NumPy
5. 2.5 Reshaping and Transforming Data
6. 2.6 Indexing and Sorting Data
1. 3.1 Introduction to Pandas
2. 3.2 Exploring the Data Frame with Pandas
3. 3.3 Cleaning Data with Pandas and Python
1. 4.1 Visualising Data with Matplotlib
2. 4.2 Advanced Data Visualisation
3. Test Your Knowledge
1. 5.1 Time Series Analysis
2. 5.2 Introduction to Machine Learning
3. Test Your Knowledge
1. 6.1 Project Planning and Data Collection
2. 6.2 Data Preprocessing and EDA
3. Test Your Knowledge
1. 7.1 Setting up Your Environment for NumPy
2. 7.2 Practical aspects of Data Analysis with Python
3. Test Your Knowledge
4. Datasets Used in Module 6
1. 8.1 Data Visualisation with Seaborn
2. 8.1.1 Practical Activity - Visualizing HR Data
3. Test Your Knowledge
1. 9.1 Understanding Data Science
2. Test Your Knowledge
1. 10.1 Advanced Statistical Analysis with StatsModels
2. 10.2 Introduction to StatsModels
3. 10.3 Practical Example of Advanced Statistical Analysis with StatsModels
4. Test Your Knowledge
1. 11.1 Introduction to SciPy
2. Test Your Knowledge
1. Course Feedback Form

About this course

42 lessons
11 hours of video content

ITonlinelearning Academy

Python for Data (PDA03)

Course curriculum

Module 1

Module 1

Module 2

Module 3

Module 4

Module 5

Module 6

Module 7

Module 8

Module 9

Module 10

Module 11

Course Feedback

About this course

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