Data Science with Python 3.x

Gain useful insights from data by performing popular data science techniques using Python libraries

Created by: Packt Publishing
Tech Knowledge in Motion

What Will I Learn?

• Enhance your programming skills and master data exploration and visualization in Python
• Learn multidimensional analysis and reduction techniques
• Master advanced visualization techniques (such as heatmaps) for better analysis and rapidly broaden your understanding
• Retrieve data from different data sources (CSV, JSON, Excel, PDF) and parse them in Python to give them a meaningful shape
• Perform statistical analysis using in-built Python libraries
• Understand the concept of Block algorithms and how Dask leverages it to load large data.
• Implement various example using Dask Arrays, Bags, and Dask Data frames for efficient parallel computing
• Combine Dask with existing Python packages such as NumPy and Pandas
• Implement an end-to-end Machine Learning pipeline in a distributed setting using Dask and scikit-learn
• Visualize and gain insights into real-world datasets via different chart types using Matplotlib

Requirements

• Basic knowledge of probability/statistics and Python coding experience will assist you in understanding the concepts covered in this course.

Target audience

• This course is for Python developers, data analysts, and IT professionals who wish to explore the world of data science by performing data analysis, data wrangling, data manipulation, and data visualization on their own datasets.