Data Science for Business Users. This tutorial was created to democratize data science for business users (i.e., minimize usage of advanced mathematics topics) and alleviate personal frustration we have experienced on following tutorials and struggling to apply that same tutorial for our needs
This tutorial was created to democratize data science for business users (i.e., minimize usage of advanced mathematics topics) and alleviate personal frustration we have experienced on following tutorials and struggling to apply that same tutorial for our needs. In light of this, our mission is as follows:
This is part one of series on how to create a forecast, using one of the most widely used data science tool — Excel. If you are surprised by this statement, then we refer you to www.kdnuggets.com (one of the most widely followed blog for data science). They conduct annual poll on tools and according to the poll, Excel is one of the most widely used tool by data scientists (https://www.kdnuggets.com/2018/05/poll-tools-analytics-data-science-machine-learning-results.html). If you have a question about using Excel, just ask any data scientist in your organization. They are most likely to be Excel expert and they will probably be able to assist you.
Forecasting is the process of making predictions of the future based on past and present data and its trend. The accuracy of forecast decreases as you stretch out your forecast. For example, if you are forecasting monthly sales then accuracy of forecast for month 1 sales of forecast will be higher than month 2 sales of forecast and so on. One of my co-worker likes to state that best way to predict tomorrow’s weather is to assume it is similar to today’s weather. Everything else is just a guess.
Forecasting Series consists of:
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.
This post will help you in finding different websites where you can easily get free Datasets to practice and develop projects in Data Science and Machine Learning.
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Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.