As a follow up of the first article, I prepared an extensive guide to display customized features to the already introduced plots. Business Intelligence Visualizations with Python as a follow up of the first article, I prepared an extensive guide to display customized.
“There is no such thing as information overload. There is only bad design.”
Data visualization *is increasingly being seen as the essential step of any successful data-driven analytics strategy. Furthermore, as mentioned in my previous article related to the subject, is one of the most powerful tools in the set available to data analysts or data enthusiasts. Therefore, we must dedicate time to create stunning graphs and visualizations to *carefully and clearly communicate our story and findings hidden in structured data.
Last week, we talked about how important data visualizations are and I introduced to different plot types such as:
In this opportunity, I’ll give you more insights on how to display customized charts with Python **and [Matplotlib**](https://matplotlib.org/), the plotting library that has some neat tools to enable the creation of beautiful and flexible charts.
🔥To access the slide deck used in this session for Free, click here: https://bit.ly/GetPDF_DataV_P 🔥 Great Learning brings you this live session on 'Data Vis...
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Many a time, I have seen beginners in data science skip exploratory data analysis (EDA) and jump straight into building a hypothesis function or model. In my opinion, this should not be the case.
Data science is omnipresent to advanced statistical and machine learning methods. For whatever length of time that there is data to analyse, the need to investigate is obvious.
Python for Data Science, you will be working on an end-to-end case study to understand different stages in the data science life cycle. This will mostly deal with "data manipulation" with pandas and "data visualization" with seaborn. After this, an ML model will be built on the dataset to get predictions. You will learn about the basics of the sci-kit-learn library to implement the machine learning algorithm.