Paweł Kordek | Duration: 1h 20m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 199 MB | Language: English
Quick and expressive data analysis requires good tools and knowledge of them. In this course, you'll explore the world of data science by learning core Pandas functionalities, including its IO capabilities, Descriptionting methods, and DataFrames.
As an individual working with data, from business analysts to data scientists, you desire a quick feedback loop that enables you to materialize and easily visualize your ideas. Time spent on developing and debugging programs or clicking around spreadsheets is often wasted. In this course, Pandas Fundamentals, you'll learn how to quickly read the data, perform desired analysis, and output it in a neat format along with pleasant Descriptions. First, you'll explore data input and output. Next, you'll discover how to index and filter your data. Finally, you'll delve into how to work with groups, along with creating Descriptions. After finishing this course, you'll have the necessary knowledge to manipulate data in basic forms, and be able to utilize your time more efficiently when figuring out how to transform your data to reach the desired effect. Software required: Anaconda Python.

Paweł Kordek | Duration: 2h 30m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 234 MB | Language: English
Learn to handle complex data-sets and analyze your data in a principled way with Pandas. This course will teach you advanced parts of this library, including handling higher-dimensional data, time series, window operations, joins, and Descriptionting.
At the core of practicing effective data science is a thorough knowledge of data analysis tools, and among them, Pandas is one of the most popular. In this course, Advanced Pandas, you will learn the skills you need to perform data analysis that is effective and full of useful insights. First, you will learn how to prepare your dataset for a smoother experience. Next, you will discover how to perform database-style joins, work with higher-dimensional data, analyze time series, and apply window operations. Finally, you will explore how to present the data by generating informative and appealing Descriptions. When you're finished with this course, you will have an advanced understanding of the Pandas library and the knowledge that will help you as you move forward and grow as a professional data scientist or analyst.

Duration: 1h 21m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 145 MB
Genre: eLearning | Language: English
Efficiently delivering machine learning products is not easy, therefore good tools that support ML model development are needed. This course will teach you MLflow.