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Main platforms for visualizing Big Data: PowerBI, Tableu, Google Data Studio, Jupyter Notebook. Getting started.
An excellent training about Data Science
Big Data Visualization and Visualization Tools
This course is intended to be an initiation to learn #BigData and #MachineLearning with #Python programming for absolute beginners that have no background in programming. In this course, we will step by step, using the example of real data, we will go through the main processes related to the topic “Big data and machine learning”. Since the material turned out to be voluminous, I divided the course into five parts. In this fourth part: we will look at the main platforms for visualizing Big Data and consider the main Data Visualization Online-Tools for Big Data. We will briefly look at these platforms and generate several reports in each of the platforms. This will give you the opportunity to choose the right platform that suits you and your data. In practical lesson we exported an excel file with our data to the Kaggle platform and using a Jupyter Notebook we cleared the data and visualized the data using different python libraries. You will be guided through the basics of using: Jupyter NotebookPowerBITableuGoogle DataStudio. Topics covered in this course: Lecture 2. Data Visualization Tools. Power BI, Tableau, Google Data Studio, Jupyter. What is Business Intelligence?Data Visualization ToolsWas ist Business Intelligence? Was ist BI?Jupyter Notebooks as a Custom Calculation EngineMachine Learning Visualizations made in PythonLecture 3. Practice. Python Data Visualizations. Prepare Data for Visualizations. Kaggle, Jupyter Notebook (Part 1/3).Export data from Excel to PythonUploading data to Visualizations on KaggleIntroduction to Jupyter NotebooksPrepare data for VisualisationsLecture 4. Practice. Python Data Visualizations. Clean data for Visualizations (Part 2/3).Clean data for VisualizationsUse Pandas in Jupyter NotebookData Cleaning With PandasLecture 5. Practice. Python Data Visualizations. Data Visualizations in Jupyter Notebooks (Part 3/3).Visualization with Seaborn and MatplotlibData visualization by Heatmaps and Scatter plotsPython Treemaps with SquarifyThree-Dimensional Plotting in MatplotlibLecture 6. Practice. Power BI. Introduction and getting started. Pros and Cons of Power BIImport an Excel file into Power BIHow to Get StartedTreemaps in Power BICreating Reports in Power BILecture 7. Practice. Tableau. Introduction and getting started. Pros and Cons of TableauImport an Excel file into TableuHow to Get Started in TableuTreemaps in TableuCreating Reports in TableuCreating Dashboards in TableuLecture 8. Practice. Google Data Studio. Introduction and getting started. Pros and Cons of Google Data StudioImport an Excel file into Google Data StudioHow to Get Started in Google Data StudioTreemaps in Google Data StudioCreating Reports in Google Data StudioCreating Dashboards in Google Data StudioThe course is best-suited for learners who are interested in Big Data and Machine Learning (using Python) or for learners who already have Python programming skills but want to practice with a hands-on, real-world data project can also benefit from this course.
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