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Python data science handbook : essential tools for working with data

Fuzzy computing in data science : applications and challenges

Practical python data wrangling and data quality : getting started with reading, cleaning, and analyzing data

Building an effective data science practice a framework to bootstrap and manage a successful data science practice

ADVANCED ANALYTICS WITH PYSPARK patterns for learning from data at scale using Python and Spark

SQL for data analytics : harness the power of SQL to extract insights from data

Assimilate data science projects.

Comet for data science : enhance your ability to manage and optimize the life cycle of your data science project

Codeless time series analysis with KNIME : a practical guide to implementing forecasting models for time series analysis applications

Data cleaning and exploration with machine learning : get to grips with machine learning techniques to achieve sparkling-clean data quickly

Data analysis with Python and Pyspark

Data-Science-Crashkurs Eine interaktive und praktische Einführung.