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Data Analytics News
Medium
5d
197
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Is the Microsoft and LinkedIn Data Analysis Course Worth It? Here’s My Take
- The Microsoft and LinkedIn Data Analysis Course provides valuable insights for those interested in a career in Data Science.
- The course focuses on important concepts such as data governance and data quality.
- Advanced topics like ETL processes and working with large datasets are also covered.
- The course offers practical skills for data analysis and presentation.
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11 Likes
Medium
6d
226
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Data Cleaning and Preparation in Excel
- Cleaning data is super important before you start analysing it.
- Excel has become my preferred tool for data cleaning because of its effectiveness.
- I used Flash Fill to remove strange characters from names, Find and Replace to substitute hyphens with spaces, and the PROPER formula to capitalize the first letter.
- Inconsistent data in the Height and Weight columns were fixed by converting all measurements to the same unit of measurement.
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Medium
6d
177
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Visualize Objectron Dataset with Rerun
- This example visualizes the Objectron database, a rich collection of object-centric video clips accompanied by AR session metadata.
- The dataset provides high-resolution images, object pose, camera pose, point-cloud, and surface plane information for each sample.
- Manually annotated 3D bounding boxes enable precise object localization and orientation.
- The visualization is done using Rerun code to reproject the objects in the 2D camera view.
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Medium
6d
119
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Building an Interactive Arc Diagram in React and D3.js
- Arc diagrams are useful for displaying directed relationships simplifying complex networks by emphasising the connections over node placement.
- The author uses React and D3.js to build an Arc Diagram that shows the relationship between user journey between apps.
- React is used to update the DOM while D3.js provides the math and position of the chart elements.
- In building the Nodes, a D3 Linear Scale is used to place the nodes in a line in the center of the SVG, while a colour scale is used to color each of them.
- A linear scale is also used to adjust the minimum and maximum node radius size, by the array of counts for the nodes.
- A path with an arc is used to create the links between the nodes, representing the relationships between nodes effectively through the arc drawn.
- A scale for thickness is created to ensure the thickness of the link is adjustable.
- A gradient of both the node colours is added to the links with linearGradients in the definitions section of the SVG, applied to the SVG elements using a url.
- The completed Arc Diagram can then be used to display complex network data in a simplified, visually attractive manner.
- A better understanding of the layout of complex networks can be obtained by using React and D3.js together to create visually stunning diagrams.
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Medium
6d
358
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Revamping Pew’s Fiscal 50 with Dynamic Visualizations
- The fiscal 50 website has been relaunched and revamped, turning the platform into a more modern, mobile-first site with a greater emphasis on state-by-state offerings.
- The project was a collaboration between Pew, which began the fiscal 50 in 2010 and is reputable for its research activities; and Graphicacy, which designs analytics solutions for clients.
- The partnership created state-focused pages, which include eight key indicators and interactive dot plots that can be expanded to show specific information.
- The site has also been equipped with data-driven information, which provides insights specific to each state. This will be updated regularly, and through the use of tokens and values, helps to reduce labor time for the Pew staff.
- Each page includes a series of charting systems including a map, line chart, area chart, several different versions of tile maps, and bar charts.
- Graphicacy built the toolkit for the site, which includes the aforementioned charting systems and a data-driven text engine that can automatically update meaningful data insights.
- The Pew team was very pleased with the final results, specifically how the new graphics and pages were created with a focus on modern browsers and mobile devices.
- The Pew team is excited for the ongoing relationship with Graphicacy and looks forward to continually refining the site and enhancing the toolkit as many new content updates will need to be added.
- The partnership between Pew and Graphicacy created a comprehensive charting system, which allows for Pew to contribute more towards their platform and to continue to provide high-quality analytical support for years to come.
- The revamped Fiscal 50 provides readers with a more modern website that retains in-depth analysis, provides readers with more insight specific to each state, enables readers to more easily access information on mobile devices, and improves the experience of those wishing to view key fiscal indicators.
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21 Likes
Medium
6d
247
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Interview preparation series 2- Data Science (AI/ML Role )
- Regression analysis is a statistical method used to study the relationship between a dependent variable and one or more independent variables.
- Linear regression models the relationship as a linear equation, while nonlinear regression models the relationship using a nonlinear equation.
- Simple linear regression involves one independent variable, while multiple linear regression involves multiple independent variables.
- The intercept in regression models represents the value of the dependent variable when all independent variables are zero.
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14 Likes
Medium
6d
95
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Unveiling Productivity Trends: Insights from the 2023 Survey Dashboard
- The Productivity Survey 2023 Dashboard was created to gain deeper insights into productivity trends.
- The survey covered various aspects of productivity, including overall levels, challenges, and its importance in happiness.
- The data was meticulously analyzed using tools like Power BI, resulting in a visually appealing dashboard showcasing key trends.
- The insights aim to empower individuals and organizations in enhancing productivity and fostering a conducive work environment.
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Medium
6d
37
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FOR IMMEDIATE RELEASE: The Power of Passion: Amy Broadnax’s Journey to Building a Billion-Dollar…
- Amy Broadnax is the founder of Haunted Texas Theme Park and has overcome obstacles with her diverse background in marketing, advertising, real estate, and legal challenges.
- The park aims to blend historical preservation with cutting-edge entertainment technology, providing an educational hub for Texas history.
- With a pre-revenue valuation between $50 million to $100 million, Haunted Texas Theme Park is expected to have a substantial economic impact.
- Amy Broadnax's success story highlights the power of women in leadership roles and demonstrates how passion aligned with purpose can drive profit.
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2 Likes
Medium
6d
124
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Starting Out with Data Analysis:
- Data analysis involves sorting and studying data to provide insights and solve problems.
- Key skills for data analysis include collecting data, organizing it, and using tools to analyze it.
- Practice on real data projects to improve your skills and gain experience.
- Create a portfolio to showcase your projects and findings.
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7 Likes
Medium
6d
322
The Tale of Data: Unveiling the Power of Analytics in Financial Decision Making
- Data analytics holds immense power in financial decision-making.
- By analyzing sales trends, customer preferences, and market dynamics, businesses can discover hidden patterns and insights.
- Data analytics allows for cost savings, revenue optimization, and strategic expansion.
- Investing in a robust data analytics platform and utilizing data insights can lead to business success.
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19 Likes
Medium
7d
103
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Google Data Analytics Course 1–4 Summary
- The Google Data Analytics certificate is worth $60,000 because it prepares you for entry-level jobs as a data analyst.
- The course is divided into steps a data analyst should take when performing analysis.
- Module one of the Google Data Analytics course lays the groundwork for the necessary skills, tools, and fundamental knowledge a data analyst would need to function properly in the job market.
- The course is less technical and more theoretical. Analytical thinking involves identifying and breaking down a problem in a step-by-step manner.
- Curiosity, understanding context, technical mindset, data design, and data strategy are key skills required by data analysts.
- Ask, prepare, and process are the three phases of data analysis covered in courses 1–4 of the Google Data Analytics Certificate.
- Structured thinking requires understanding the current problem, identifying gaps and opportunities, collecting and organizing information, and defining options available.
- Before solving any problem, we need to define it properly.
- Data-driven decision-making or data-inspired decision-making are two major ways data can be used to make decisions.
- Quantitative and Qualitative data are two types of data at play when making decisions with data.
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Cloudblog
7d
195
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Data democratization with Dataplex: Implementing a data mesh architecture
- Data mesh architecture offers a decentralized approach to data ownership and infrastructure allowing for greater autonomy, scalability and data democratization.
- Dataplex, a data fabric platform within the BigQuery suite, can be used to realize the benefits of this decentralized data architecture.
- Data mesh promotes the idea of treating data as a product and emphasizes decentralizing data ownership empowering domain experts.
- In a data mesh architecture, data infrastructure is treated as a product providing self-serve capabilities to domain teams.
- Dataplex offers a unified approach to data governance, data discovery, and data lineage, enabling organizations to gain more value from their data.
- The core principles of data mesh architecture include domain-oriented ownership, self-serve data infrastructure, federated computational governance and data treated as a product.
- Dataplex offers tools for data quality monitoring and centralized data catalog governance for effective data governance practices.
- Advantages of building a data mesh include improved data ownership and accountability for domain teams, scalability, reduced bottlenecks and enhanced data discoverability.
- With the rise of cloud technologies, data meshes can take advantage of scalable cloud-native infrastructure.
- Businesses can unlock a range of benefits, including improved data quality, greater accountability, and enhanced agility, scalability, and decision-making.
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TheStartupMag
7d
62
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Victoria Gerrard La Crosse WI Explores How Eco-Startups are Cultivating a Greener Future with Organic Agriculture, Recycling Tech, and Outdoor Ventures
- Eco-startups are spearheading efforts to create a more sustainable and greener future by leveraging organic agriculture, cutting-edge recycling technologies, and unique outdoor ventures.
- Organic agriculture is at the heart of the eco-startup revolution, ensuring safer food production and protecting the environment from hazardous chemicals.
- GreenHarvest utilizes precision farming technology to enhance the productivity of organic farms, significantly reducing waste and conserving natural resources.
- Eco-startups challenge the traditional 'take-make-dispose' model by introducing circular economy solutions that promote reusing and recycling materials.
- EcoCycle has developed technology to recycle plastic waste into high-quality filament for 3D printing, empowering other industries to adopt greener practices.
- LeafyTech specializes in upcycling agricultural waste into biodegradable packaging solutions, showcasing how waste management can evolve from a problem to a source of sustainable materials.
- Eco-startups are venturing into the great outdoors, crafting experiences that blend adventure with environmental education, fostering a culture of responsible tourism.
- EcoAdventures offers guided tours in electric-powered kayaks, allowing enthusiasts to explore aquatic ecosystems without polluting the waterways.
- SkyTrails focuses on minimizing its environmental footprint through practices such as implementing strict Leave No Trace principles and contributing to the conservation of trails.
- Eco-startups are seeding change across borders in today's global village, inspiring similar initiatives worldwide, fostering a global community united in pursuing a greener future.
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3 Likes
Medium
7d
216
Image Credit: Medium
Top Data Science Techniques to Know and Use in 2024
- Data science utilizes techniques like machine learning, neural networks, and big data to gain insights and capabilities.
- Descriptive Statistics is crucial for summarizing and understanding data characteristics, while Inferential Statistics enables conclusions about the population based on samples.
- Regression Analysis helps in predictive modeling to reveal variable connections and make accurate predictions.
- Classification Algorithms categorize data into groups, important for tasks like image recognition, sentiment analysis, and fraud detection.
- Clustering techniques are useful in unsupervised learning to identify patterns and group similar data points together.
- Dimensionality reduction techniques like PCA and t-SNE are used to improve computational efficiency and model performance in complex datasets.
- Data scientists combine these techniques to gather insights, analyze data, develop predictive models, and solve real-world problems.
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13 Likes
Medium
7d
299
Customer-hosted Looker installation on EC2 instance
- Customer-hosted Looker installation on EC2 instance
- Steps to configure EC2 instance and networking components: 1. Create a VPC with 2 subnets: one private and one public. 2. Create an internet gateway and attach it to your VPC. 3. Create a NAT gateway in the public subnet. 4. Create two route tables: private and public. 5. Create a bastion-host in the public subnet. 6. Create an EC2 instance in the private subnet. 7. Create a bastion Windows VM to access Looker privately. 8. Create a security group. 9. SSH into EC2 instance.
- Steps to install Looker: 1. Ensure libssl and libcrypt.so are present on the system. 2. Allow inbound traffic to Looker instance through TCP port 9999. 3. Set required configurations in /etc/sysctl.conf or sysctl.d directory. 4. Create looker user and group. 5. Set ulimit for looker user. 6. Download Looker jar files. 7. Download startup script from the Looker GitHub repo. 8. Make the Looker startup script executable. 9. Configure encryption using AWS KMS or custom key management systems. 10. Start Looker process. 11. Configure startup options for Looker.
- Steps to configure startup options for Looker on EC2: 1. Create cloud-config.cfg file in /etc/cloud/cloud.cfg.d directory. 2. Add the required configuration in the file. 3. Save the file.
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