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 | Duration: 2h 15m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 292 MB | Language: English Pandas is one of the most popular software packages for data analysis. This course focuses on the core functionalities of Pandas for data wrangling, teaching you how to tackle everyday tasks for a data analyst, or data scientist. Pandas is not just one of the most popular software packages for data analysis, it is also, without a doubt, the most convenient and fun way to work with your data. In this course, Pandas Playbook: Manipulating Data, you will cover the most important core functionalities of Pandas, focusing on the core functionalities of the two main Pandas classes: the DataFrame and the Series. First, you will take a look at a new dataset and try to get a feeling for it - how many rows and columns are there? What datatypes does it consist of? You will do some basic statistical exploration as well. Then, you'll focus on getting information out of your dataset. Basically, it's about asking the right questions and drilling down into your dataset. Finally, you will learn how to clean and transform your data. Here, you will see how to run Python functions against our data, including functions we write ourselves by using a very cool and powerful feature called groupby() - changing the structure of our columns and rows, and combining multiple dataframes into one. After watching this course, you will be ready for just about any data wrangling job that you might come across.  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.  Instructors: Metla Sudha Sekhar | 14 sections * 107 lectures * 8h 0m Video: MP4 1280x720 44 KHz | English + Sub | Updated 4/2022 | Size: 3.1 GB  MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 235 MB | Duration: 44m Learning the Basics  Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 1.75 GB Genre: eLearning Video | Duration: 49 lectures (1 hour, 59 mins) | Language: English Connect to the ancient wisdom of mother earth by making herbal vegan medicines in this practical & experiential course  MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 248 MB | Duration: 31m SDS polyacrylamide gel electrophoresis  Instructors: Metla Sudha Sekhar | 13 sections * 127 lectures * 11h 48m Video: MP4 1280x720 44 KHz | English + Sub | Updated 3/2022 | Size: 4.7777 GB  Instructors: Metla Sudha Sekhar | 7 sections * 67 lectures * 6h 24m Video: MP4 1280x720 44 KHz | English + Sub | Updated 3/2022 | Size: 2.5 GB  Instructors: Harsh Singh | 1 section * 23 lectures * 8h 3m Video: MP4 1280x720 44 KHz | English + Sub | Updated 4/2022 | Size: 6.5656 GB  MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 851 MB | Duration: 1h 9m Design a Landing Page from Scratch with No Code and Triple Your Conversion Rate |
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