WebCoursera offers a great selection of advanced data analytics courses. For those looking to hone their data analysis skills, courses such as Analysis of Algorithms, Machine Learning & Data Lifecycle in Production, AutoML & Datasets & ML models and Python Statistics & Financial Analysis are ideal. Alternatively, the course Applying Data Analytics ... WebNov 22, 2024 · 8. Wine Quality Prediction project. The idea here is to improve wine quality using predictive modeling. In this Data Science project, we will analyze a red wine …
Exciting data analytics projects based on R programming
WebDec 8, 2024 · Code. Issues. Pull requests. This project involves scraping cryptocurrency and stock price data in R. This data is then used to calculate daily returns, then use those daily returns to create a hierarchical cluster. Clustering investments based on their similarity or dissimilarity is a common portfolio management & optimization tool. WebDec 20, 2024 · 12+ years delivering technology solutions for global banks. Rich project and product management experience in Origination and Risk across Commercial & Corporate Banking and Financial Markets. Currently Data & Analytics product lead for Global Credit Markets and Equities at Standard Chartered. Building data products for front office … small portable cabinet lights
r-programming-projects · GitHub Topics · GitHub
Web1.2 Provide a short explanation of how you plan to address this problem statement (the data used and the methodology employed) 1.3 Discuss your current proposed approach/analytic technique you think will address (fully or partially) this problem. 1.4 Explain how your analysis will help the consumer of your analysis. 5. WebApr 11, 2024 · Step - 1. Create temporary table sales2024 ( select Category, year (Order_Date) AS Year, sum (Amount) AS TotalSales, sum (Quantity) AS … WebJan 30, 2024 · Check out tutorial one: An introduction to data analytics. 3. Step three: Cleaning the data. Once you’ve collected your data, the next step is to get it ready for analysis. This means cleaning, or ‘scrubbing’ it, and is crucial in making sure that you’re working with high-quality data. Key data cleaning tasks include: small portable cabins for sale michigan