Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting insights with Python.pdf
🏷 Understand the importance of data literacy and how to communicate effectively using data 🏷 Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis 🏷 Wrangle data and create DataFrames using pandas Produce charts and data visualizations using time-series datasets 🏷 Discover relationships and how to join data together using SQL 🏷 Use NLP techniques to work with unstructured data to create sentiment analysis models 🏷 Discover patterns in real-world datasets that provide accurate insights
Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting insights with Python.pdf
🏷 Understand the importance of data literacy and how to communicate effectively using data 🏷 Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis 🏷 Wrangle data and create DataFrames using pandas Produce charts and data visualizations using time-series datasets 🏷 Discover relationships and how to join data together using SQL 🏷 Use NLP techniques to work with unstructured data to create sentiment analysis models 🏷 Discover patterns in real-world datasets that provide accurate insights
BY Python 🐍 Work With Data
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Telegram is a cloud-based instant messaging service that has been making rounds as a popular option for those who wish to keep their messages secure. Telegram boasts a collection of different features, but it’s best known for its ability to secure messages and media by encrypting them during transit; this prevents third-parties from snooping on messages easily. Let’s take a look at what Telegram can do and why you might want to use it.
Tata Power whose core business is to generate, transmit and distribute electricity has made no money to investors in the last one decade. That is a big blunder considering it is one of the largest power generation companies in the country. One of the reasons is the company's huge debt levels which stood at ₹43,559 crore at the end of March 2021 compared to the company’s market capitalisation of ₹44,447 crore.
