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via Udemy |
Go to Course: https://www.udemy.com/course/data-science-bootcamp-with-power-bi-and-python/
Certainly! Here's a detailed, reflective review, and recommendation for the Coursera course on Data Science Bootcamp with Microsoft Power BI and Python: --- **Course Review and Recommendation: Data Science Bootcamp with Microsoft Power BI and Python** If you're looking to dive into the world of data science, business intelligence, or data analytics, this comprehensive course on Coursera offers an excellent starting point. Designed for beginners and intermediate learners alike, it combines the power of Microsoft Power BI and Python to equip you with practical skills for real-world data visualization and analysis. **Course Content and Structure:** The course is well-structured, covering both fundamental and advanced topics: - **Data Visualization:** You will learn to create a variety of charts including bar, pie, ring, and treemap in Power BI. The course uniquely integrates Python scripting to develop custom visualizations like line, scatterplot, and violin charts using libraries such as matplotlib and seaborn. This dual approach enhances your capability to craft tailored visual insights. - **Interactive Filtering:** The introduction of slicers and filters for categories and dates enables dynamic, focused analysis — a vital skill in data-driven decision-making. - **Data Preparation:** The section on Power Query Editor is invaluable, guiding you through data cleaning and transformations—merging, splitting, conditional columns, and index creation—tools essential for preparing datasets for analysis. - **Hands-On Examples:** The inclusion of practical exercises ensures you gain experience with creating live dashboards, handling web data, and customizing visualizations which are directly applicable in industry scenarios. **Who Will Benefit:** This course is ideal for aspiring data scientists, analysts, or business intelligence professionals looking to build robust dashboards and reports. The skills learned are versatile and can be applied across multiple domains including finance, marketing, operations, and more. **Strengths:** - Clear explanation of concepts with hands-on demonstrations. - Integration of Power BI with Python, offering a broader toolkit for data visualization. - Practical focus on data cleaning, transformation, and customized reporting. - Suitable for learners without prior coding experience, with guidance on Python libraries. **Areas for Improvement:** While comprehensive, some topics like advanced Python scripting or deeper statistical analysis could be expanded further for more experienced users. Additionally, providing more real-world case studies could enhance contextual understanding. **Final Verdict:** I highly recommend this course for anyone looking to develop practical skills in data visualization and preparation using Power BI and Python. The blend of theory, tool mastery, and real-world applications makes it an excellent investment for your data science journey. After completing this bootcamp, you'll be well-equipped to create insightful BI reports and analysis dashboards, setting a strong foundation for further specialization in data science. --- Feel free to ask if you'd like a shorter version or specific insights!
Welcome to this course on Data Science bootcamp with Microsoft Power Bi and Python. In this course, you will learn various concepts with hands on examples where you will learn to create powerful BI reports and analytics dashboard. You will learn right from creating data visualization charts in Power BI with and without using python programs. You will learn to create various kinds of charts such as Bar, Pie, Ring, Treemap and more that are available as default charts in Power BI. Moreover you will also learn to create advanced custom charts by writing python programs such as line, scatterplot and violin chart. After that, you will also learn to create slicer filters for categories and date based on which you can filter the data that is visually displayed on the chart. This feature helps in focused decision making based on decided parameter such as region, category or date.After learning lessons on Data Visualization, you will learn Data Cleaning and Data Preparation by using Power Query Editor. Here, you will learn to perform various kinds of operations on rows, columns or individual cells of the dataset. You will learn to create new custom column or field in a table based on a certain condition such as conditional column, and you will also learn to create index column. You will learn to perform row operations such as row deletion. For columns, you would learn to perform Split, Merge, Extract and other operations in Power Query editor.You could use the skills learned in this course for various domains such as Data Science, Business Intelligence, Data Analysis, Data Preparation and Data Visualization.Topics discussed under Data Visualization and Analytics with Python and Power BI-Bar chartLine chartPie chartRing chartTreemap chartTable and MatrixDrill downInstall python librariesCreate line chart with matplotlibPutting labels and creating a dashed line chartViolin chart with seabornSlicer FilterDate SlicerCreating a calculated measureUsing live web dataTopics covered under Data preparation with Power Query-Row deletion and column SplitReplace column valuesColumn MergeAdding Suffix and PrefixAdd and transform columnExtract functionAdding conditional and Index columnDate function in power query