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| -# IBM: Data Visualization with Python |
| 1 | +# IBM: Data Science Methodology |
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3 | 3 | <img src="https://i.imgur.com/YCFnjvg.png" alt="Smiley face" height="300" width="600">
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8 | 8 | ## Course Description
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| -"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. |
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| -One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. |
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| -The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. |
| 10 | +This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. |
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| 12 | +Accordingly, in this course, you will learn: |
| 13 | + - The major steps involved in tackling a data science problem. |
| 14 | + - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. |
| 15 | + - How data scientists think! |
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16 | 17 | ## Topics include
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18 | 19 | #### Module 1: From Problem to Approach and from Requirements to Collection
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@@ -42,4 +43,4 @@ The main goal of this Data Visualization with Python course is to teach you how
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42 | 43 | - Peer-review Assignment
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44 | 45 | This course is part of the 'IBM Data Science Professional Certificate'
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