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via Udemy |
Go to Course: https://www.udemy.com/course/learn-data-visualization-with-python-plotly-and-power-bi/
Certainly! Here is a comprehensive review and recommendation of the course on Coursera related to data visualization: --- **Course Review: Mastering Data Visualization with Power BI, Python, and Plotly** This course offers an invaluable skill set for anyone interested in transforming raw data into compelling visual stories. Designed for professionals across various domains—such as marketing, sales, development, analysis, and data science—it provides both foundational and advanced techniques for creating insightful visual charts using Microsoft Power BI, Python, and Plotly. **Course Content and Learning Outcomes:** The curriculum meticulously covers a wide array of visualization techniques. Students will learn to create not only basic charts like bar, line, pie, and tree maps but also advanced and customized visuals. The course emphasizes the power of Python libraries such as Pandas, Matplotlib, Seaborn, and Plotly to design sophisticated, tailored visualizations that reveal critical insights hidden within complex datasets. Key skills include: - Installing and configuring essential Python packages. - Creating diverse visualizations such as violin plots, strip plots, boxplots, time series charts, sunburst charts, candlestick, OHLC, and bubble charts. - Customizing charts with labels, dashed scatterplots, and multi-line plots. - Identifying outliers, nulls, and anomalies visually to facilitate better data cleaning and analysis. **Pros:** - The course bridges the gap between basic and advanced data visualization, empowering learners to produce visually appealing and meaningful charts. - Practical, hands-on approach with real-world datasets ensures concepts are not just theoretical but applicable. - Versatility in tools: Users learn how to utilize Power BI alongside Python scripts, enabling more flexible and comprehensive data storytelling. - Focuses on creating custom visualizations, crucial for handling complex datasets. **Cons:** - Requires a basic understanding of Python and data analysis concepts. - For complete beginners, an initial learning curve might be present, especially with Python setup and scripting. **Who Should Enroll?** - Data analysts, scientists, and engineers aiming to enhance their visualization toolkit. - Business intelligence professionals looking to create more impactful dashboards. - Developers and programmers interested in automating and customizing data visualizations. - Anyone involved in data-driven decision-making who understands that visual insights are vital. **My Recommendation:** If you're looking to upgrade your data visualization skills with practical, code-based techniques, this course is highly recommended. It fills a necessary gap by teaching how to create a spectrum of charts tailored to specific data types and complexities. Mastering these skills will significantly improve your ability to communicate data insights effectively, whether in analytics, reporting, or machine learning projects. **Final Verdict:** This course is a must for professionals who want to move beyond basic charts and create insightful, customizable visualizations that make complex data understandable at a glance. The combination of Power BI, Python, and Plotly offers a robust toolkit for modern data visualization challenges. Enroll today to elevate your data storytelling skills! --- Feel free to ask if you'd like a shorter summary or focus more on specific aspects!
In this course you will learn to create various types of Data Visualization charts using Microsoft Power BI, Python and Plotly. There are a wide range of professionals who require data visualization skills to plot various charts to find critical insights from the dataset. From Marketing and sales professionals to Developers, Analysts and Data Scientists, a large number of professionals require some kind of knowledge to adequately model and represent data into creative visuals that makes it easy and intuitive to understand the complex data value in form for comparable and easy to understand visual charts. Most of the basic charts such as bar, line, pie, tree map and other charts in Power BI and other visualization software are just inefficient to represent various kinds of data with complex information. Professionals just don't rely on few basic charts, rather they could create some custom chart to solve complex problem. Most of the custom or advanced visualization charts can be created by writing few lines of python code. In this course, you will be learning following concepts and visualization charts using python libraries such as pandas, matplotlib and seaborn-Installing python packages and defining pathCreating a Line chart with matplotlibPutting labels and creating dashed scatterplotViolin chart with seabornMore on Violin chartStripplotBoxplotLmplot or align plotData visualization make this task little bit more handy and fast. With the help of visual charts and graph, we can easily find out the outliers, nulls, random values, distinct records, the format of dates, sensibility of spatial data, and string and character encoding and much more. Moreover, you will be learning different charts to represent different kind of data like categorical, numerical, spatial, textual and much more.Bar Charts (Horizontal and Vertical)Line ChartsPie ChartsDonut ChartsScatter ChartsGrouped Bar Chart (Horizontal and Vertical)Segmented Bar Chart (Horizontal and Vertical)Time and series ChartSunburst ChartCandlestick ChartOHLC ChartsBubble ChartsDot ChartsMultiple Line Charts and so on.Most of the time data scientists pay little attention to graphs and focuses only on the numerical calculations which at times can be misleading. Data visualization is much crucial step to follow to achieve goals either in Data Analytics or Data Science to get meaningful insights or in machine learning to build accurate model. The skills you learn in this course can be used in various domains related to data science and data analytics to business intelligence and machine learning.